GenAI Developer | Gurgaon | EPAM Systems

Epam Systems

Gurugram District

Hybrid

INR 1,500,000 - 3,500,000

Full time

14 days+

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Job summary

Epam Systems in Gurugram, India seeks a GenAI Engineer to spearhead design, development, and deployment of cutting-edge Generative AI solutions. The role requires leading technical strategy and mentoring teams across production-ready systems using LLMs, RAG, and NLP.

The ideal candidate will have 4+ years in software development with a focus on GenAI, Python, APIs, and hands-on experience with LangChain, LlamaIndex, and vector databases. Experience with MLOps and cloud deployment is a plus.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree is a plus.
  • Minimum 4 years in software development, focusing on Python, backend development, and Generative AI technologies.
  • Proven expertise in Python, APIs and hands-on experience with LLM frameworks (LangChain, Transformers, LlamaIndex, etc.).

Responsibilities

  • Lead design, development, and deployment of GenAI solutions using LLMs, RAG architectures, NLP, and agentic workflows.
  • Mentor engineering teams and translate research ideas into production-ready systems.
  • Advise on technical strategy and cloud deployment (AWS/GCP/Azure).

Skills

Python
APIs
LLMs
NLP
LangChain
Transformers
LlamaIndex
RAG systems
Embeddings
Vector databases
LangGraph
CrewAI
MLOps
CI/CD
Docker
AWS
GCP
Azure
Kubernetes

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain
Transformers
LlamaIndex
FAISS
Pinecone
Weaviate
LangGraph
CrewAI
Docker
CI/CD
AWS
GCP
Azure
Kubernetes

Job description

Job Expectation

Role: GenAI Engineer.

Exp: 4to 13 Years

We are seeking a Generative AI Engineer to spearhead the design, development, and deployment of cutting-edge Generative AI solutions. This role involves leading technical strategy, mentoring engineering teams, and building production-ready systems using LLMs, RAG architectures, NLP, and agentic workflows. The ideal candidate is deeply passionate about the potential of generative AI to transform industries and can translate that vision into robust, scalable solutions.

Qualifications:

  • Education:Bachelors degree in Computer Science, Engineering, or a related field. Advanced degree is a plus.
  • Experience:Minimum 4 years in software development, focusing on Python, backend development, and Generative AI technologies.
  • Technical Skills:

4+ years of software engineering or machine learning experience, with 3+ years in GenAI/LLMs/NLP.

Proven expertise in Python,Apis and hands-on experience with LLM frameworks (LangChain, Transformers, LlamaIndex, etc.).

Deep understanding of RAG systems, embedding techniques, and vector databases (e.g., FAISS, Pinecone, Weaviate).

Practical experience building agent-based architectures using LangGraph, CrewAI, or similar tools.

Strong knowledge of NLP fundamentals including summarization, Q&A, chatbots, semantic search, and entity extraction.

Experience with MLOps, model versioning, CI/CD,Docker and cloud-native deployment on AWS/GCP/Azure.

Ability to translate complex research ideas into practical, deployable solutions

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