Artificial Intelligence Engineer
AI Tools
Tech Stack
Agent Workflow
Building RAG-based solutions, autonomous agent design with knowledge graphs, using agentic AI frameworks (AutoGen, CrewAI, LangGraph) in production.
About the Role
We are looking for an AI Engineer to develop end-to-end AI solutions including front-end interfaces, back-end services, and data pipelines. The role focuses on implementing and optimizing AI models for production environments, integrating solutions with enterprise systems, and providing technical guidance to junior engineers.
Note: Listed under STACKSTUDIO DIGITAL LTD, operating under Tata Consultancy Services (TCS).
Posted: March 6, 2026
Closing: April 16, 2026
Employment: Permanent, Full-time
Responsibilities:
- Develop end-to-end AI solutions including front-end interfaces, back-end services, and data pipelines
- Implement and optimize scalable AI/ML models for production environments
- Integrate solutions with enterprise systems
- Cross-functional collaboration
- Provide technical guidance and leadership to junior engineers
Required Skills & Tech Stack:
- Python proficiency with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK)
- Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude)
- GenAI frameworks: LangChain, LlamaIndex
- Agentic AI: AutoGen, CrewAI, LangGraph
- MLOps/LLMOps: MLflow, Kubeflow, Docker, Kubernetes
- Cloud Platforms: AWS, Azure, GCP with their AI/ML services
- RAG-based solutions, vector databases (Pinecone, Weaviate, FAISS)
- Knowledge graphs, autonomous agent design
- Full-stack development experience in enterprise environments
Benefits: Competitive salary, pension, healthcare, life assurance, laptop, phone, extensive training resources, wellness initiatives. TCS sponsors the London Marathon.
Salary: GBP 65,000 - 75,000 per annum
Location: London, UK (3 days onsite)