AI Engineer

About the job

Role Summary Job Description If you live and breathe GenAI, LLMs, and Agentic AI, this role is for you. This is an opportunity to design, build, and deploy enterprise-grade AI solutions that solve real business problems and create direct impact on business outcomes and P&L Main Tasks Key Responsibilities • Design and deploy GenAI / LLM-based enterprise solutions • Build RAG and Agentic AI systems using LangChain / LlamaIndex • Fine-tune and benchmark LLMs for accuracy, latency, and cost • Apply advanced prompt engineering and safety guardrails • Build AI microservices and APIs using FastAPI • Track experiments and models using MLflow or Weights & Biases • Collaborate with data and platform teams for production readiness Technical Skills • Python, PyTorch • LLMs: GPT, LLaMA, Mistral, Claude • Hugging Face Transformers • Snowflake, SQL / Postgres, Vector DB (Snowflake / FAISS) • FastAPI, React.js / Node.js (LLM orchestration) • Docker, Kubernetes (deployment awareness) • CI/CD: Bitbucket, GitHub Actions, GitLab CI Experience 4–7 years of experience as an AI Engineer in a reputed MNC with proven success in taking AI solutions from concept to production.

Requirements

• GenAI
• LLMs
• Agentic AI
• Python
• PyTorch
• Hugging Face Transformers
• Snowflake
• SQL
• Postgres
• Vector DB
• FastAPI
• React.js
• Node.js
• Docker
• Kubernetes
• CI/CD

Preferred Technologies

• GenAI
• LLMs
• Agentic AI
• Python
• PyTorch
• Hugging Face Transformers
• Snowflake
• SQL
• Postgres
• Vector DB
• FastAPI
• React.js
• Node.js
• Docker
• Kubernetes
• CI/CD