AI Engineer | Fulltime

Job Description

We are seeking highly experienced Senior AI/ML Engineers (6+ years) to design, build, and deploy next-generation Agentic AI and Generative AI solutions. The ideal candidate will have strong hands-on expertise in LLM application development, particularly using LangChain, LangGraph, RAG, and Graph RAG frameworks, along with advanced Python engineering skills.

This role is suited for professionals who have built real-world AI products and can drive innovation in fast-paced enterprise environments.

Location: India — On-site | Role: Full-time | Team: Engineering & Product

Key Responsibilities • Design and develop scalable Agentic AI solutions, including multi-agent workflows and autonomous AI systems. • Build and optimize RAG pipelines, including advanced implementations such as Graph RAG for enterprise knowledge retrieval. • Develop LLM-powered applications using: LangChain / LangGraph / Vector databases and retrieval frameworks • Rapidly prototype and deploy AI services using FastAPI and modern Python frameworks. • Work with cutting-edge AI ecosystems including: OpenAI APIs / Hugging Face Transformers / PyTorch • Collaborate with cross-functional teams to translate business needs into AI-driven technical solutions. • Lead solution development for client-facing AI transformation initiatives. • Mentor junior engineers and contribute to building a strong AI innovation culture. • Stay current with the latest advancements in Agentic AI, LLM orchestration, and retrieval architectures.

Key Skills & Qualifications • 6+ years of professional experience in AI/ML engineering (candidates below this experience level will not be considered). • Strong proficiency in Python (advanced level required). • Proven expertise in: • LangChain, LangGraph, RAG implementations, Graph RAG. • Knowledge Graph-based AI systems • Solid foundation in Machine Learning, Deep Learning, and NLP. • Experience deploying AI/ML solutions on cloud platforms such as AWS, Azure, or GCP. • Strong product-building mind-set with the ability to deliver production-grade AI systems. • Comfortable working in environments requiring fast execution, experimentation, and continuous learning. • Client-facing experience and technical leadership are strong pluses.

Why This Role? • Work on cutting-edge Agentic AI + Enterprise GenAI systems • Opportunity to build scalable, real-world AI products using LangGraph + Graph RAG • High-impact role with strong ownership and innovation culture

Benefits & Culture Highlights • Work on end-to-end AI products with direct ownership and impact on production systems. • Collaborative, research-informed engineering culture with mentorship and career growth opportunities. • Competitive compensation, focused learning budget, and exposure to cutting-edge MLOps tooling.

Skills: ml,docker,kubernetes,python,sql,pytorch,tensorflow