Job Overview
We are seeking AI Engineers with 7 to 10 years of experience to design and implement Agentic AI MVPs and Custom Solutions on the AWS Tech Stack.
Responsibilities
The candidate will build production-grade orchestration, LLM agents, grounded retrieval, and integrations with analytics/UI systems.
Must-Have Skills
- Python (strong), writing modular, production-quality code with testing
- LLM / Generative AI engineering: prompt engineering, structured outputs (JSON), grounding, evaluation
- Agentic systems: orchestration patterns (planner/router, fan-out/fan-in, tool calling), state handling
- AWS hands-on with serverless patterns: Lambda, API Gateway, Step Functions, S3, DynamoDB, CloudWatch (logs/metrics), IAM
- Amazon Bedrock experience (or equivalent LLM platform): model invocation, guardrails/safety patterns
- Data access from modern stores (preferably Redshift/Aurora) + basic SQL
- Designing robust workflows: retries, idempotency/correlation IDs, error handling, observability
Preferred Skills
- Bedrock Knowledge Bases + OpenSearch (RAG with citations, indexing strategies)
- Speech + NLP services: Transcribe / Comprehend (post-call automation scenarios)
- ML deployment (optional components): SageMaker training/inference, model registry
- Compliance / regulated-domain systems (Pharma/Healthcare): MLR checks, audit trails, traceability
- QuickSight integration (embedding, dashboards, actions, dataset refresh patterns)
- CI/CD exposure: CodePipeline/GitHub Actions, IaC (CDK/Terraform), multi-env deployments
- Performance optimization: caching, query tuning, prompt optimization, latency/cost trade-offs
Behavioural Skills
- Ownership mindset: Responsive and proactive with focus and commitment on delivery
- Strong communication: should be able to understand and explain architecture clearly
- Collaboration-first: works well with Data/UI/DevOps engineers
- Quality-focused: writes maintainable code, documents decisions, tests critical paths
- Comfort in ambiguity: can iterate quickly with feedback and evolving requirements
Pay: ₹480,431.82 - ₹1,789,378.97 per year
Work Location: Remote
