Job Description
We are seeking a highly skilled Senior AI / ML Engineer (6+ years) to design, build, and scale enterprise-grade AI systems. The ideal candidate must have strong experience in Multi-Agent Systems, RAG pipelines, vector databases, and advanced LLM-based architectures.
This role focuses on developing production-ready AI solutions, optimizing models for performance and efficiency, and integrating AI into enterprise ecosystems. The candidate will also work closely with cross-functional teams and mentor junior engineers to support the long-term AI roadmap.
Key Responsibilities
- Architect and scale multi-agent and RAG-based AI systems using frameworks like LangChain or LlamaIndex.
- Implement retrieval pipelines, embeddings, and knowledge integration workflows for enterprise applications.
- Develop and deploy API-driven AI solutions integrated with databases, microservices, and front-end applications.
- Optimize model latency, accuracy, cloud cost, and overall system performance.
- Work closely with product, engineering, and strategy teams to convert real-world problems into scalable AI solutions.
- Mentor junior team members and contribute to long-term AI architecture & roadmap planning.
Skills & Requirements
6+ years of hands-on experience in AI / ML engineering with production deployments.Technical Skills
Programming : Strong proficiency in Python.Frameworks : LangChain, LlamaIndex, HuggingFace, and modern LLM frameworks.Vector Databases : Pinecone, FAISS, Chroma, or similar.Expertise In :RAG systems
Embeddings & retrieval optimization
LLM architectures
Multi-agent frameworks (Autogen, CrewAI, LangGraph)
LLM Skills : Prompt engineering, fine-tuning, and model evaluation.Additional Skills : API development, enterprise AI architecture, model optimization, retrieval pipelines, cross-functional collaboration.Soft Skills
Strong analytical and problem-solving abilities.Excellent communication and collaboration skills.Ability to work in fast-paced, high-velocity environments.