Gen AI Engineer

JD-Gen AI Engineer

Experience: 6+ Years Location: Gurgaon, WFO

Local to NCR Only

What are we doing -

Our intention is to bring a new age digital experience for our employees for our enabling functions. To redefine how various departments interact & collaborate, adding ease, effectiveness and convenience with each and everything we do for our clients.

Your role is to build awesome digital experience that users love and will build out our internal systems ecosystem to support the same. You will be guided by your deep understanding of our internal processes as well as digital innovators, and your close relationships with other stakeholders.

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)

6+ 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 integrate AI features into internal apps; partner with UI teams on full‑stack delivery

Implement prompt engineering, evaluation harnesses, safety filters, and HITL review workflows; measure quality (precision, hallucination rate, latency, cost)

Create ETL/ingestion jobs and embeddings pipelines; optimize chunking, metadata, and retrieval performance

Productionize with CI/CD, IaC, logging/monitoring, and cost/latency optimization; contribute to runbooks and SLOs

Collaborate with product owners, domain SMEs, data engineering, security, and compliance to align on value, controls, and go‑live readiness

Champion reusability by packaging patterns (RAG, agents, evaluation) as internal accelerators and documenting best practices

Nice‑to‑have / Good‑to‑have

Experience with agentic workflows (task decomposition, tools, function‑calling) and evaluation frameworks

Knowledge of SageMaker model endpoints, fine‑tuning/parameter‑efficient tuning, and feature stores

Familiarity with pgvector/OpenSearch, prompt/test case libraries, cost observability, and Copilot productivity dashboards

Pay: ₹1,500,000.00 - ₹3,000,000.00 per year

Benefits:

Paid sick time

Paid time off

Application Question(s):

Notice Period

Expected CTC

Willing to work from Gurgaon office all 5days

Experience:

Gen AI Exp: 2 years (Required)

Python Development: 6 years (Required)

Work Location: In person