Title: LLM Engineer / Generative AI Engineer

Location: Gurgaon, Haryana (Onsite/Hybrid)

Experience:
- 4-6 years of experience in Software Engineering, Machine Learning, or AI, with at least 1 year of hands-on experience building LLM-based applications.

About the Role:

We are looking for an experienced
LLM Engineer / Generative AI Engineer
to design, develop, and deploy production-grade Generative AI applications powered by Large Language Models (LLMs). The ideal candidate will have hands-on experience with prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, vector databases, and deploying scalable AI solutions in cloud environments.

Key Responsibilities:
- Design, develop, and deploy LLM-powered applications using models such as
GPT-4, Claude, Gemini, Llama, Mistral
, and other open-source LLMs.
- Build and optimize
Retrieval-Augmented Generation (RAG)
pipelines using
LangChain
and
LlamaIndex
.
- Develop prompt engineering strategies and fine-tune open-source models using
LoRA, QLoRA, and PEFT
techniques.
- Implement semantic search solutions using
Pinecone,



Weaviate, FAISS,
or
ChromaDB
.
- Deploy and manage AI applications using
Docker, Kubernetes, FastAPI
, and cloud platforms (
AWS, GCP, or Azure
).
- Build evaluation frameworks to measure model accuracy, hallucinations, latency, safety, and overall performance.
- Collaborate with Product, Data Science, and Engineering teams to integrate Generative AI capabilities into business applications.

Required Skills:
- 4-6 years of experience in Software Engineering, Machine Learning, or AI, with at least 1 year of hands-on experience building LLM-based applications.
- Strong proficiency in
Python
,
FastAPI
,
Flask
, and asynchronous programming.
- Experience with
LangChain, LlamaIndex, OpenAI API, Hugging Face Transformers
, and up-to-date LLM frameworks.
- Hands-on experience with
LoRA, QLoRA, PEFT
, and open-source models such as
Llama 2/3, Mistral,
or
Phi
.
- Experience with Vector Databases inclu

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