AI Engineer

Actowiz Solutions AI Engineer 3-6 Years Ahmedabad Full-Time Role Summary We are looking for a highly skilled AI Engineer to help build and scale our internal AI ecosystem. You will design and deploy production-ready AI agents and multi-agent workflows that automate complex business processes. This role bridges LLM engineering and backend software development, using a modern stack centered on LangGraph, PydanticAI, and Model Context Protocol (MCP). This is a hands-on role ideal for someone excited about building real-world AI systems and shipping them to production. Key Responsibilities Agentic Workflow Development • Design and implement stateful AI workflows using LangGraph. • Build role-based multi-agent collaborations using CrewAI. • Develop reliable long-running and branching AI processes. Structured AI Services • Use Pydantic and PydanticAI to enforce type safety and structured outputs. • Implement schema-driven AI pipelines and validation layers. • Contribute to reliability, logging, and observability of AI services. RAG & Context Engineering • Build and maintain Retrieval-Augmented Generation (RAG) pipelines. • Work with vector databases such as Qdrant, ChromaDB, or PgVector. • Contribute to GraphRAG implementations using Neo4j or FalkorDB. • Improve search quality using hybrid search and reranking techniques. MCP & Internal Tooling • Help build and maintain Model Context Protocol (MCP) servers. • Integrate AI agents with internal APIs, databases, and tools. • Support development of internal AI frameworks and reusable components. Model Integration & Optimization • Work with both local models (Ollama / LM Studio) and cloud LLM providers. • Assist in model evaluation, optimization, and experimentation. • Support domain-specific fine-tuning and benchmarking. Performance & Scalability • Implement semantic caching and context optimization strategies. • Improve latency, cost efficiency, and scalability of AI services. Deployment & Engineering • Containerize services using Docker. • Deploy AI workloads on AWS Lambda or GCP Cloud Functions. • Write clean, maintainable, production-quality Python code. Required Skills & Experience: - • 3–6 years of experience in software engineering, ML engineering, or AI engineering. • Hands-on experience building production applications in Python. • Experience with LangChain or LangGraph (or similar LLM frameworks). • Strong experience with Pydantic and structured data validation. • Exposure to multi-agent frameworks such as CrewAI is a plus. • Experience working with LLM APIs and prompt engineering. • Familiarity with RAG pipelines and vector databases. Databases • Experience with at least one Vector DB (Qdrant / PgVector) or Graph DB (Neo4j or FalkorDB). Backend & Infrastructure • Strong Python (Asyncio preferred). • Experience with Docker and cloud/serverless deployments. • Understanding of REST or gRPC APIs. Preferred Qualifications • Experience with Human-in-the-Loop workflows. • Background in semantic search or information retrieval. • Experience building internal tools or developer platforms. • Familiarity with model fine-tuning or evaluation. Required Skills Qdrant / PgVector LLM APIs prompt engineering AI docker FalkorDB RAG pipelines CrewAI webscraping python Share with someone awesome Similar Openings QA Team Lead (Web Scraping & Data Extraction) Ahmedabad Project Coordinator – Web Scraping & Data Intelligence Ahmedabad Quality Analyst Ahmedabad View all job openings Preferred Qualifications • Experience with Human-in-the-Loop workflows. • Background in semantic search or information retrieval. • Experience building internal tools or developer platforms. • Familiarity with model fine-tuning or evaluation.