Essential Skills

• LLMs, RAG systems , multi‑agent frameworks (LangChain, LangGraph, GAIA)
• Advanced Python and ML engineering (TensorFlow, PyTorch, Scikit‑learn)
• Vector databases (FAISS, Pinecone, OpenSearch/Elasticsearch )
• Prompt engineering & context orchestration
• AWS AI/ML stack (SageMaker, Lambda, API Gateway, DynamoDB, S3)
• MLOps, CI/CD, GitHub Actions, ML pipelines
• Data engineering (Spark, Kafka, SQL/NoSQL, ETL/ELT)
• Docker, Kubernetes (EKS), Terraform
• API & microservices development
• Strong understanding of AI security, IAM, governance, and compliance

Advantageous Skills

• Experience delivering production‑grade GenAI systems
• Strong foundations in maths, optimisation, and deep learning
• AI cost optimisation and performance tuning
• Graph‑based reasoning, semantic caching, model evalu...