Generative AI Engineer

About the job

A high-growth organization in the Enterprise Generative AI and Applied Machine Learning sector building production-grade LLM services, conversational agents, and retrieval-augmented generation (RAG) solutions for enterprise customers. We deliver secure, low-latency GenAI features that combine vector search, prompt orchestration, and API-driven workflows. This is an on-site engineering role based in India focused on shipping scalable GenAI systems into production. Primary Title: Generative AI Engineer Role & Responsibilities • Architect, implement, and deploy end-to-end GenAI features: embeddings ➜ vector indexing ➜ retrieval ➜ LLM orchestration for production use-cases. • Build and integrate LLM workflows and agents using LangChain (or equivalent), OpenAI/Hugging Face APIs, and custom orchestration logic. • Fine-tune, evaluate, and optimize models and embedding pipelines to improve relevance, latency, and cost (incl. quantization and batching strategies). • Design and operate scalable vector search solutions (FAISS/Pinecone/Milvus) with efficient indexing, sharding, and query optimization. • Containerize and productionize inference services with monitoring, CI/CD, observability, and GPU-aware deployment patterns. • Collaborate with product, data, and ML teams to translate requirements into reliable GenAI features and document engineering best practices. Skills & Qualifications • Must-Have • Python • PyTorch • Hugging Face Transformers • Prompt engineering • LangChain • FAISS • Preferred • OpenAI API • Model fine-tuning • Docker Benefits & Culture Highlights • On-site role with access to GPU resources and hands-on production deployment experience. • Fast-paced learning environment with opportunities to lead GenAI projects and shape technical direction. • Competitive compensation, focused mentorship, and budget for technical training and conferences.

Requirements

• Python
• PyTorch
• Hugging Face Transformers
• Prompt engineering
• LangChain
• FAISS

Preferred Technologies

• Python
• PyTorch
• Hugging Face Transformers
• Prompt engineering
• LangChain
• FAISS

Benefits

• On-site role with access to GPU resources
• Fast-paced learning environment
• Competitive compensation

About the company

A high-growth organization in the Enterprise Generative AI and Applied Machine Learning sector building production-grade LLM services, conversational agents, and retrieval-augmented generation (RAG) solutions for enterprise customers.