14 jobs in QuantumBlack, AI by McKinsey
Global AI Software Engineer — Growth, Mentorship, Impact
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Software Engineer - QuantumBlack, AI by McKinsey
Posted 1 day ago
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Job Description
Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast‑paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World‑class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family.
As a Software Engineer, you will collaborate with a global network of technologists, designers, and strategists to help clients transform their businesses through innovative digital solutions.
In this hands‑on role, you’ll develop cutting‑edge products, mentor client teams, and shape engineering cultures while growing your expertise across diverse industries and technologies.
In this role, you will work hands‑on with clients across industries to bring their digital ambitions to life. You will develop software products and services from the ground up while coaching and mentoring client teams on engineering best practices, user‑centric design, and Agile values. By co‑creating with clients and their leadership, you’ll help build not only cutting‑edge products but also the technical capabilities and cultures needed to sustain them.
Your work will drive meaningful change for clients and their industries. You will participate in cross‑functional problem‑solving sessions with client leaders, shaping their digital strategies and delivering solutions that go beyond the product itself. Your efforts will help clients build scalable teams and engineering cultures that enable long‑term success.
You will collaborate with clients across industries to turn their digital ambitions into reality through hands‑on technical expertise. Based in one of our global locations, you will be part of QuantumBlack AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultants passionate about creating industry‑shaping products and tools.
At McKinsey, you’ll grow as a technologist and leader. You’ll work across diverse industries and technologies, learning something new with every project. With opportunities to contribute to digital strategies, build impactful products, and mentor others, you’ll have the freedom to chart your own path and grow in the areas that excite you most.
Your Qualifications and Skills- Undergraduate or master’s degree; or equivalent experience
- 2‑5+ years of experience developing full‑stack applications by writing code that is readable, testable, maintainable, and scalable
- Demonstrated experience working collaboratively with other developers, as well as technical and non‑technical people within software teams
- Hands‑on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL)
- Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD
- Strong focus on automated testing, logging, monitoring, and overall system reliability
- Experience working in Agile teams, including active participation in sprint ceremonies
- Experience pair programming collaboratively with other developers
- Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
- Strong communication skills, both verbal and written in English, with the ability to adjust your style to suit different perspectives and seniority levels
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Senior Software Engineer & Architecture Lead
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Senior Software Engineer - QuantumBlack, AI by McKinsey
Posted 1 day ago
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Job Description
Who You’ll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture – doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues at all levels will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We encourage diverse perspectives, which are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. You’ll also have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World‑class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family.
As a Senior Software Engineer, you will lead architecture design, drive technology decisions, and co‑create innovative products while mentoring clients to adopt Agile practices and engineering excellence. Your role offers hands‑on collaboration, diverse industry exposure, and opportunities to shape solutions and grow as a technology leader.
You will lead project workstreams, drive architectural decisions, and build scalable solutions using Agile methodologies. Working closely with client teams, you will co‑create products, foster a culture of engineering excellence, and mentor teams in best practices. Your responsibilities will include shaping technical strategies, making key technology decisions, and ensuring the delivery of impactful, user‑centric solutions.
Your work will have a lasting impact beyond the products you build. By collaborating with client leadership, you will influence their digital strategies, help scale their engineering cultures, and enable them to achieve sustainable growth. Each project will expose you to diverse industries and technologies, providing opportunities to learn and grow while shaping the future of technology.
You will design and deliver next‑generation products that transform businesses across industries. Based in one of our global locations, you will be part of QuantumBlack AI by McKinsey – a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultants passionate about creating industry‑shaping products and tools.
Your role offers unparalleled opportunities for growth and innovation. At McKinsey, you’ll have a seat at the table with client leaders, the chance to shape product strategies, and the freedom to explore areas of personal interest. Supported by a collaborative and innovative team, you’ll make a lasting impact on clients, industries, and the future of technology.
Your Qualifications and Skills- Bachelors, Master’s or PhD level degree in a discipline such as computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence.
- 7-8+ years of experience in software development, with significant full‑stack web application development experience strongly preferred.
- Experience working collaboratively with technical and non‑technical team members and stakeholders.
- Hands‑on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL).
- Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD.
- Strong focus on automated testing, logging, monitoring, and overall system reliability.
- Experience modeling and coaching others to use engineering best practices such as design patterns, customer‑centric design, test‑driven development, code refactoring, code review, and OWASP Top 10 security awareness.
- Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities.
- Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.
- Strong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels.
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Senior Forward Deployed Engineer - QuantumBlack, AI by McKinsey
Posted 8 days ago
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Job Description
Who You’ll Work With
Driving lasting impact and building long‑term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast‑paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World‑class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family.
You’ll deploy and scale a next‑generation AI platform designed to connect strategy to execution through advanced analytics, machine learning, and agentic systems.
You will sit at the intersection of software engineering and infrastructure, bringing advanced AI capabilities into real‑world environments and ensuring they work at scale. You’ll play a key role in how these systems are deployed, adopted, and operated, enabling organizations to translate complex AI strategies into practical, high‑impact solutions.
You’ll own the platform delivery lifecycle, bridging product engineering and client environments. Responsibilities include deploying and configuring production‑grade systems across cloud and hybrid infrastructures (e.g., AWS, Azure, GCP), validating performance and stability, and ensuring structured handovers for long‑term success. Work often involves containerized and distributed systems, including Kubernetes‑based environments, where reliability and operational stability are critical. You’ll troubleshoot issues end‑to‑end and ensure platforms are fully production‑ready, while also contributing to deployment tooling, automation, and product feedback loops to improve platform reliability and delivery.
The impact of your work is tangible. You’ll enable clients to run AI‑driven workflows and manage intelligent systems within their existing technology ecosystems. Working closely with technical stakeholders, you’ll ensure environment readiness, resolve deployment challenges, and guide adoption through practical best‑practices. Your experience from the field will also contribute to feedback loops between deployments and product development, supporting the continuous evolution of QuantumBlack, AI by McKinsey technology.
Based in one of our European offices, you’ll work closely with engineers, product teams, and technical experts across the QuantumBlack, AI by McKinsey global community. Beyond platform deployments, you’ll collaborate with data scientists, machine learning engineers, designers, and technologists on interdisciplinary initiatives, contributing to a broader ecosystem of AI innovation. Together, you’ll help operationalize advanced AI systems across industries, driving successful delivery, validation, and adoption in client environments. You’ll also contribute to team knowledge‑sharing — documenting patterns, refining delivery practices, and supporting colleagues across engagements.
At QuantumBlack, AI by McKinsey, you’ll thrive in an unparalleled environment for growth. You’ll develop a sought‑after perspective by connecting technology and business value, work across industries, and collaborate with multidisciplinary teams to unlock the transformative potential of AI, while advancing as a technologist and leader.
Your Qualifications and Skills- Bachelor’s, Master’s in computer science, machine learning, applied statistics, mathematics, engineering, artificial intelligence, or a related field
- 4+ years of hands‑on experience as a Software or Platform Engineer, with exposure to enterprise platform deployments
- Strong engineering fundamentals with proficiency in Python and familiarity with modern full‑stack development (e.g., React, NextJS or equivalent)
- Experience designing, deploying, and managing cloud‑based systems (AWS, Azure, or GCP), including containerization (Docker) and orchestration frameworks, with hands‑on experience operating and troubleshooting production systems
- Deep expertise in Kubernetes cluster architecture, installation, configuration, and lifecycle management at production scale
- Experience with CI/CD pipelines and Infrastructure as Code (e.g., GitHub Actions, GitLab CI, Terraform, Ansible, Helm)
- Strong understanding of data architectures and platform design, including relational and graph databases (e.g., PostgreSQL, Neo4j), data pipelines, and system integration patterns across structured and unstructured data
- Familiarity with AI platform concepts, including model integration patterns, agentic workflows, and how AI‑driven applications interact with underlying data and infrastructure is a plus
- Strong problem‑solving skills with a structured approach to debugging and resolving issues in complex, non‑standard environments
- Experience with DevSecOps and infrastructure security practices (e.g., IAM/SSO, RBAC, secrets management, encryption) is a plus
- Experience with deployment standards, runbook development, and automation frameworks is a strong advantage
- Familiarity with observability, monitoring, and compliance tooling (e.g., Prometheus, Grafana, ELK) and experience working in secure or regulated environments is a plus.
- Willingness to travel
- Ability to communicate effectively with technical and non‑technical stakeholders in client‑facing settings, including delivering walkthroughs, documentation, and training
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Senior AI Platform Deployment Engineer
Posted 8 days ago
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QuantumBlack, AI by McKinsey, is seeking a Platform Engineer in Greater London to drive the deployment of next-generation AI platforms. This role will require a deep understanding of cloud-based systems, as well as strong engineering fundamentals in Python and Kubernetes.
The successful candidate will work closely with interdisciplinary teams to ensure stability and performance of AI solutions, develop tools for deployment, and contribute to the continuous evolution of the technology.
Competitive salary and world-class benefits are provided, along with significant opportunities for personal growth and development.
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AI Platform Deployment Lead
Posted 9 days ago
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Principal Forward Deployed Engineer - QuantumBlack, AI by McKinsey
Posted 9 days ago
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Job Description
Who You’ll Work With
Driving lasting impact and building long‑term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture – doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast‑paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World‑class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family.
You’ll lead the deployment and scaling of a next‑generation AI platform designed to connect strategy to execution through advanced analytics, machine learning, and agentic systems.
You’ll work directly with clients, embedded in their environments, navigating real‑world constraints that don’t surface in controlled settings. The combination of hands‑on engineering, client‑facing delivery, and direct product influence defines your role.
You will sit at the intersection of software engineering and infrastructure, bringing advanced AI capabilities into real‑world environments and ensuring they work at scale. You’ll be at the center of how these systems are deployed, adopted, and operated, helping organizations translate complex AI strategies into practical, high‑impact solutions.
You’ll take ownership of the platform delivery lifecycle, including the most demanding engagements, where environments are often non‑standard and requirements evolve quickly. You’ll lead large‑scale, multi‑workstream deployments across cloud and hybrid infrastructures in enterprise environments (e.g., AWS, Azure, GCP), guiding architectural decisions and setting direction for complex deployments across engagements.
Your work frequently involves containerized and distributed systems, including Kubernetes‑based environments, where reliability, scalability, and operational stability are critical. From validating performance and resilience to ensuring structured handovers, your work ensures systems are production‑ready and built to last. Along the way, you’ll help shape how delivery is structured across teams, evolving tooling, automation, and delivery practices based on real‑world experience, and working hands‑on to resolve complex issues in production.
The impact of your work is tangible. You’ll enable clients to run advanced AI‑driven workflows and manage intelligent systems within their existing technology ecosystems, often in regulated or multi‑region settings. Working closely with senior technical stakeholders, you’ll help define deployment strategies, navigate complex challenges, and guide adoption through practical, experience‑led best practices. Your perspective from the field will also feed directly into product development, influencing how QuantumBlack, AI by McKinsey, technology continues to evolve. You’ll maintain a continuous feedback loop with the product team — surfacing patterns from the field, contributing to issue resolution, and helping ensure that real‑world deployment experience shapes the platform’s evolution.
Based in one of our European offices, you’ll work closely with engineers, product teams, and technical experts across the QuantumBlack, AI by McKinsey, global community. Beyond leading deployments, you’ll collaborate with data scientists, machine learning engineers, designers, and technologists on interdisciplinary initiatives, contributing to a broader ecosystem of AI innovation. You’ll also play a key role in developing others—mentoring engineers, reviewing approaches, and helping teams raise the bar for quality and delivery. Together, you’ll help operationalize advanced AI systems across industries, driving successful delivery, validation, and adoption in client environments.
At QuantumBlack, AI by McKinsey, you’ll thrive in an unparalleled environment for growth. You’ll develop a sought‑after perspective by connecting technology and business value, work across industries, and collaborate with multidisciplinary teams to unlock the transformative potential of AI, while advancing as a technologist and leader.
Your Qualifications and Skills- Bachelor’s or Master’s in computer science, machine learning, applied statistics, mathematics, engineering, artificial intelligence, or a related field.
- 8+ years of hands‑on experience in software, platform, or infrastructure engineering, with a track record of leading enterprise‑scale platform rollouts.
- Strong full‑stack engineering – proficiency in Python and modern web frameworks (React, NextJS or equivalent).
- Experience designing, deploying, and managing cloud‑based systems (AWS, Azure, or GCP), including containerization (Docker) and orchestration frameworks, with hands‑on experience operating and troubleshooting production systems; deep expertise in Kubernetes cluster architecture, installation, configuration, and lifecycle management at production scale.
- Experience leading complex deployments, guiding architectural decisions, and driving delivery standards across engagements in multi‑stakeholder environments.
- Strong experience with CI/CD pipelines and Infrastructure as Code (e.g., GitHub Actions, GitLab CI, Terraform, Ansible, Helm), contributing to scalable delivery automation.
- Strong understanding of data architectures and platform design, including hands‑on experience with relational databases (e.g., PostgreSQL) and familiarity with graph databases (e.g., Neo4j), alongside data pipelines and system integration patterns.
- Experience with AI‑native platform concepts, including model integration patterns, agentic architectures (tool calling, prompt orchestration, multi‑agent workflows), and data pipelines that support AI‑driven applications is a plus.
- Strong problem‑solving skills with a structured approach to debugging and resolving issues in complex, non‑standard environments, including operating and troubleshooting distributed systems in production.
- Experience with DevSecOps, infrastructure security, and networking fundamentals (e.g., IAM/SSO, RBAC, secrets management, VPNs, DNS, load balancing); experience with delivery standards, runbook development, and automation frameworks is a strong advantage.
- Familiarity with observability, monitoring, and compliance practices, and experience working in secure or regulated environments is preferred.
- Willingness to travel.
- Ability to communicate effectively in client‑facing settings, including leading technical discussions, facilitating workshops, and presenting to senior stakeholders.
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Senior AI Engineer — Lead Data Solutions & AI Systems
Posted 11 days ago
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QuantumBlack, AI by McKinsey is seeking a senior AI/ML software engineer to lead the design and development of advanced AI solutions and scalable data pipelines. You will collaborate with a global network of technologists and data scientists to deliver AI-driven outcomes for clients.
You will mentor client teams, implement scalable architectures, ensure data quality, and contribute to R&D efforts across industries in a fast-paced, high-impact environment.
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Senior AI Engineer - QuantumBlack, AI by McKinsey
Posted 11 days ago
Job Viewed
Job Description
Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World‑class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family.
You will lead the design and development of innovative AI solutions by seamlessly combining advanced software development practices with robust data engineering expertise.
You will collaborate with a global network of technologists, data scientists, and industry experts to help clients transform their businesses through advanced analytics and AI‑driven solutions. You’ll develop scalable data pipelines, build cutting‑edge software products, and contribute to the development of AI models while mentoring client teams and shaping engineering cultures.
You will take on diverse and impactful responsibilities that blend technical expertise with strategic collaboration. You will architect and build scalable, modular, and reproducible data pipelines tailored for machine learning and AI applications. Additionally, you will develop software products and services from the ground up, ensuring they are maintainable, scalable, and secure. Collaborating with cross‑functional teams, you will assess data landscapes, ensure data quality, and prepare data for advanced analytics models. Your work will also involve managing secure data environments and contributing to research and development initiatives, as well as internal asset development, to continuously expand your technical expertise.
Beyond technical execution, you will participate in cross‑functional problem‑solving sessions with client leaders, helping shape their digital strategies and delivering solutions that extend beyond the product itself. A key part of your work will be mentoring client teams on engineering best practices, user‑centric design, and Agile values, enabling them to build the technical capabilities and cultures necessary to sustain AI‑driven solutions. Your work will address real‑world challenges across industries, driving meaningful and lasting impact. By partnering with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you will help create cutting‑edge machine learning systems that accelerate AI adoption and solve complex business problems at scale.
Your Qualifications and Skills- Degree in Computer Science, Engineering, Mathematics, or equivalent experience
- 6+ years of professional experience in building and deploying data solutions and software products
- Strong coding skills in Python, with additional experience in Scala or Java being a plus
- Experience working with structured, semi‑structured, and unstructured data
- Hands‑on expertise in containerization and orchestration using Docker and Kubernetes for scalable production systems
- Familiarity with distributed computing frameworks (e.g., Spark, Dask), cloud platforms (e.g., AWS, Azure, GCP), and analytics libraries (e.g., pandas, numpy, matplotlib)
- Exposure to DevOps, DataOps, and MLOps concepts and best practices. Experience with core technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services (AWS/GCP/Azure)
- Experience with Generative AI (GenAI) or agentic systems, including building Retrieval‑Augmented Generation (RAG) systems, implementing large language models (LLMs), or integrating advanced AI frameworks is a plus
- Exposure to AI modeling frameworks such as TensorFlow, PyTorch, Keras, or Scikit‑Learn, along with familiarity with AI Governance and Safety principles, including Responsible AI practices, bias and hallucination testing, and LLM safety guardrails
- Demonstrated experience working collaboratively with other developers, as well as technical and non‑technical people within software teams. Additionally, experience working in Agile teams including active participation in sprint ceremonies
- Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
- Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
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