Gen AI Developer

Job Title: Software Engineer
Position: Gen AI
Experience: 4-8 yrs
Category: Software Development/ Engineering
Shift: General
Main location: Gurugram
Employment Type: Full Time
Education Qualification: Bachelors degree in computer science or related field or higher with minimum 3 years of relevant experience.

#LI-AS26
Position Description:
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
Handson with AWSspecifically 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 eventdriven integrations (queues, webhooks); observability (logging, metrics, tracing)
Bonus: ReactJS for fullstack 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
Bachelors 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 AIpowered 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 fullstack 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 golive readiness
Champion reusability by packaging patterns (RAG, agents, evaluation) as internal accelerators and documenting best practices

Nicetohave / Goodtohave
Experience with agentic workflows (task decomposition, tools, functioncalling) and evaluation frameworks
Knowledge of SageMaker model endpoints, finetuning/parameterefficient tuning, and feature stores
Familiarity with pgvector/OpenSearch, prompt/test case libraries, cost observability, and Copilot productivity dashboards