Gen AI Engineer

Job Description:

• Strong proficiency in Python (async, typing, packaging, unit testing); solid grounding in data structures and algorithms

· Hands‑on with AWS—specifically Amazon Bedrock, SageMaker, S3, Lambda, Step Functions, CloudWatch, IAM; vector search - pgvector, OpenSearch vector

· Working knowledge of LangChain/LangGraph, RAG architectures, prompt design & evaluation; familiarity with guardrails (policy, PII/Secrets redaction), HITL patterns

· Experience with ETL/data processing (Pandas / Spark) and NoSQL/SQL stores (DynamoDB/Postgres)

· Proficiency with Git, CI/CD (GitHub Actions/Jenkins), Docker, and basic Kubernetes concepts

· Understanding of microservices and event‑driven integrations (queues, webhooks); observability (logging, metrics, tracing)

· Bonus: ReactJS for full‑stack prototypes; Copilot usage patterns for engineering productivity; document pipelines

· What you must bring (Experience)

· 4–7 years of software engineering experience GenAi services focused, including 2+ years building or integrating GenAI/ML solutions

· Bachelor’s degree in Engineering/Computer Science (or equivalent)

· Practical understanding of IT + business concepts and how AI features translate to measurable outcomes

· Responsibilities – What will you do

· Design and develop AI‑powered backend systems and services that leverage Bedrock (model selection, orchestration), RAG pipelines (indexing, retrieval, evaluation), and S3 content sources

· Build secure APIs that…

Skills

• CI/CD
• Generative AI
• Python
• AWS
• Pandas