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Generative AI Engineer

4 years

0 Lacs

Gurugram Haryana India

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

ai design architecture integration leadership mistral retrieval orchestration aws sagemaker redaction security automate tuning drift rollback optimization routing autoscaling evaluation latency ml python pyspark scala fastapi graphql mlflow airflow engineering mathematics statistics

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview

We are looking for highly skilled with 4 to 5 years experienced

Generative AI Engineer

to design and deploy enterprise-grade GenAI systems. This role blends platform architecture, LLM integration, and operationalization—ideal for engineers with strong hands-on experience in large language models, RAG pipelines, and AI orchestration.

Responsibilities

  • Platform Leadership: Architect GenAI platforms powering copilots, document AI, multi-agent systems, and RAG pipelines.
  • LLM Expertise: Build/fine-tune GPT, Claude, Gemini, LLaMA 2/3, Mistral; deep in RLHF, transformer internals, and multi-modal integration.
  • RAG Systems: Develop scalable pipelines with embeddings, hybrid retrieval, prompt orchestration, and vector DBs (Pinecone, FAISS, pgvector).
  • Orchestration & Hosting: Lead LLM hosting, LangChain/LangGraph/AutoGen orchestration, AWS SageMaker/Bedrock integration.
  • Responsible AI: Implement guardrails for PII redaction, moderation, lineage, and access aligned with enterprise security standards.
  • LLMOps/MLOps: Deploy CI/CD pipelines, automate tuning/rollout, handle drift, rollback, and incidents with KPI dashboards.
  • Cost Optimization: Reduce TCO via dynamic routing, GPU autoscaling, context compression, and chargeback tooling.
  • Agentic AI: Build autonomous, critic-supervised agents using MCP, A2A, LGPL patterns.
  • Evaluation: Use LangSmith, BLEU, ROUGE, BERTScore, HIL to track hallucination, toxicity, latency, and sustainability.

Skills Required

  • 4–5 years in AI/ML (2+ in GenAI)
  • Strong Python, PySpark, Scala; APIs via FastAPI, GraphQL, gRPC
  • Proficiency with MLflow, Kubeflow, Airflow, Prompt flow
  • Experience with LLMs, vector DBs, prompt engineering, MLOps
  • Solid foundation in applied mathematics & statistics

Nice to Have

  • Open-source contributions, AI publications
  • Hands-on with cloud-native GenAI deployment
  • Deep interest in ethical AI and AI safety
2 Days WFO Mandatory
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

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