AI Engineer (NCS/Job/ 3350)

Strong Python development experience.
Hands‑on experience building LLM‑based pipelines (Bedrock / OpenAI / Anthropic).
Retrieval‑Augmented Generation using FAISS or Chroma.
Prompt engineering and rule‑driven generation workflows.
Experience with Guardrails for schema enforcement and structured output control.
Document parsing, chunking, and metadata design for retrieval workflows.

Good‑to‑Have Skills
Experience with LangChain or LlamaIndex.
Familiarity with structured rule stores (JSON/YAML).
Exposure to AWS model‑oriented services (Bedrock runtime, Lambda for orchestration).
Understanding of retrieval optimization and hallucination‑mitigation techniques.

Profile 2: AWS ML/AI Engineer
Must‑Have Skills
Experience deploying and orchestrating ML/LLM workloads on AWS Bedrock or SageMaker.
Proficiency with AWS services used in ML pipelines: Lambda, API Gateway, ECR, S3, Step Functions.
Ability to containerize and deploy ML components using Docker.
Experience integrating vector databases or retrieval components within AWS environments.
Strong understanding of automation, service orchestration, and model‑runtime integration on AWS.

Good‑to‑Have Skills
Experience with CloudWatch for observability.
Integrating LLM/RAG pipelines with AWS‑managed services end‑to‑end.
Familiarity with CI/CD tooling (GitHub Actions, AWS CodeBuild/CodePipeline).
Cost‑awareness when running model endpoints and retrieval workflows.