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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Engineer - **Company:** Tata Consultancy Services Ltd - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Pytorch, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Containerization, Kubernetes, HuggingFace, Virtual Agents, Stream Processing, Data Pipelines - **Published:** September 8, 2026 - **Apply:** https://www.collegerecruiter.com/job/2845713243-artificial-intelligence-engineer ## About the Role * Experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming systems * Experience working on Python, Gen AI, Agentic AI * Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Face. * Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases * Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI) and containerization technologies * Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products. * Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure. * Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation. * Fluency with AI-assisted and agentic development workflows. * Ability to influence technical direction and align teams without formal authority. * Problem-solving, cross-functional collaboration, and the ability to articulate complex AI concepts to non-technical business stakeholders * Experience working in BFSI Domain * End to End architecture knowledge on AI/GenAI/AgenticAI ## Description We are seeking a highly skilled AI Engineer to design, build, and deploy next-generation AI, Generative AI, and Agentic AI solutions at enterprise scale. The ideal candidate will combine deep expertise in Python, Machine Learning, Large Language Models (LLMs), RAG architectures, AI Agents, and cloud-native engineering to deliver production-grade intelligent systems. You will work with architects, data scientists, product teams, and business stakeholders to develop autonomous AI solutions that drive business transformation and operational excellence., * Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design. * Design, build, and operate production-grade agentic AI systems used across multiple products. * Own and evolve shared agentic AI capabilities, including: * Design and Develop Agent frameworks and orchestration layers * Planning, tool use, and memory strategies * Design Retrieval and grounding (RAG) pipelines * LLM infrastructure, inference, and model gateways * Evaluation, observability, and safety tooling for autonomous systems * Lead technical design reviews and help teams navigate trade-offs involving autonomy, safety, reliability, scalability, and cost. * Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production. * Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)