Essential Skills LLMs, RAG systems , multi‑agent frameworks (Lang Chain, Lang Graph, GAIA) Advanced Python and ML engineering (Tensor Flow, Py Torch, Scikit‑learn) Vector databases (FAISS, Pinecone, Open Search/Elasticsearch ) Prompt engineering & context orchestration AWS AI/ML stack (Sage Maker, Lambda, API Gateway, Dynamo DB, S3) MLOps, CI/CD, Git Hub Actions, ML pipelines Data engineering (Spark, Kafka, SQL/No SQL, ETL/ELT) Docker, Kubernetes (EKS), Terraform API & microservices development Strong understanding of AI security, IAM, governance, and compliance Advantageous Skills Experience delivering production‑grade Gen AI systems Strong foundations in maths, optimisation, and deep learning AI cost optimisation and performance tuning Graph‑based reasoning, semantic caching, model evaluation strategies Ability to translate business needs into AI architecture Experience leading technical streams and solution delivery Role & Responsibilities Build scalable AI/ML solutions including LL...