Job Description – Senior AI Engineer

Experience: 8+ Years
Location: Remote
Employment Type: Full-time

Role Overview

We are looking for a Senior AI Engineer with a strong software engineering foundation and hands-on experience in building Agentic AI solutions. The ideal candidate should have 8+ years of software engineering experience, including 2–3 years of experience in Agentic AI, and expertise in Databricks, Knowledge Graphs, and modern GenAI frameworks.

Key Responsibilities

• Design, develop, and deploy Agentic AI applications using LLMs and multi-agent frameworks.
• Build scalable AI solutions leveraging Databricks, vector databases, and knowledge graphs.
• Develop RAG pipelines, AI orchestration workflows, and autonomous agents.
• Integrate AI services with enterprise applications and APIs.
• Optimize AI models for performance, scalability, security, and governance.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.

Required Skills

• 8+ years of software engineering experience (Java/Python/Scala or similar).
• 2–3 years of hands-on experience in Agentic AI/Generative AI.
• Strong expertise in Databricks, Spark, and ML workflows.
• Experience with Knowledge Graphs (Neo4j, GraphFrames, etc.) implementation.
• Hands-on experience with LLMs, RAG, vector databases, embeddings, and prompt engineering.
• Familiarity with AI orchestration frameworks such as LangGraph, LangChain, AutoGen, or CrewAI.
• Experience with cloud platforms (Azure/AWS/GCP) and MLOps/CI-CD practices.
• Strong problem-solving, communication, and software design skills.

Preferred Qualifications

• Experience with enterprise AI platforms and AI governance.
• Exposure to GraphRAG, semantic search, and AI observability.
• Experience with Context Graphs