AWS Engineer

Hands-on AI/LLM Technology Architect responsible for designing, building and operationalizing enterprise-grade GenAI and Agentic AI solutions on AWS. Work on LLM applications, RAG pipelines, multi-agent workflows and secure AI platform integrations.

Key Responsibilities:

• Design and build LLM applications, prompts, tools, agents, orchestration and evaluation frameworks.
• Develop GenAI solutions using Amazon Bedrock, Bedrock Agents/AgentCore and AWS serverless services.
• Build secure RAG pipelines using S3, OpenSearch, Knowledge Bases, embeddings and vector search.
• Integrate enterprise APIs using Lambda, API Gateway and Step Functions.
• Implement AI security, governance, guardrails, PII protection, authentication and audit controls.
• Collaborate with architects, data engineers and business stakeholders to deliver production-ready AI solutions.

Required Skills:

• 5+ years of software/data/AI engineering experience.
• Strong hands-on experience with AWS AI Services, especially Amazon Bedrock.
• Experience with LLMs, GenAI, Agentic AI and RAG.
• Strong Python and API development skills.
• Hands-on experience with Bedrock Agents/AgentCore, Knowledge Bases, Guardrails, Lambda, API Gateway, Step Functions, OpenSearch, SageMaker, IAM, VPC, KMS, CloudWatch and S3.
• Knowledge of embeddings, vector databases, prompt engineering, tool/function calling and LLM evaluation.
• Experience with CI/CD, Git, Infrastructure-as-Code, testing, observability and secure SDLC.
• Exposure to banking, insurance, healthcare, retail, telecom or capital markets is preferred.

Good to Have:
AWS Solutions Architect/ML Specialty certification, Terraform/CDK, EKS, LangChain/LangGraph/LlamaIndex, MLflow, FastAPI, Docker/Kubernetes, Responsible AI and GenAI cost optimization.

Education: 15 years full-time educati