We are looking for a skilled Data Scientist or AI/Agent Engineer to design, develop, and deploy cutting-edge multi-agent systems and AI-driven solutions. The ideal candidate will have hands-on experience with RAG pipelines, vector embeddings, and agent orchestration frameworks, and a deep understanding of large language models (LLMs) and prompt engineering. You will collaborate with cross-functional teams to build scalable, end-to-end AI workflows and continuously explore emerging AI technologies to drive innovation.

Key Responsibilities

• Design and develop agentic systems and AI-driven solutions

• Architect scalable workflows for multi-agent systems

• Implement and optimize RAG (Retrieval-Augmented Generation) pipelines

• Work with vector embeddings and vector databases

• Build and manage agent orchestration frameworks

• Develop end-to-end AI workflows, including data ingestion, processing, and inference

• Collaborate with cross-functional teams to deliver AI-powered solutions

• Continuously evaluate and integrate emerging AI tools and frameworks

Required Skills & Qualifications

• 3–6 years of experience in Data Science, Machine Learning, or AI Engineering

• Strong expertise in agent engineering and agent-based system design

• Hands-on experience with:

  • RAG pipelines

  • Vector embeddings and semantic search

  • Multi-agent orchestration and workflow design

• Proficiency in Python and relevant AI/ML libraries

• Experience with:

  • LangChain (mandatory)

  • LangGraph (mandatory)

• Solid understanding of large language models (LLMs) and prompt engineering techniques

• Strong analytical, problem-solving, and system design skills