Key Responsibilities
- Design, develop and deploy production-grade Generative AI and Agentic AI applications.
• Build AI agents capable of planning, reasoning, executing tasks and interacting with external tools and APIs.
• Develop backend services and AI applications primarily using Python, with familiarity in Golang.
• Integrate Large Language Models through APIs and frameworks to build intelligent applications.
• Implement agent orchestration, tool calling, workflow automation and multi-step reasoning.
- Develop Retrieval-Augmented Generation pipelines using embeddings, vector databases and enterprise knowledge sources.
• Build and integrate REST APIs and microservices to support AI-powered applications.
• Implement prompt engineering, context management, output validation and guardrails.
• Optimize AI solutions for latency, scalability, reliability, security and cost efficiency.
• Develop automated testing, monitoring, logging and evaluation mechanisms for production AI systems.
- Collaborate with product managers, data engineers and software development teams to translate business requirements into AI solutions.
• Follow best practices for code quality, version control, CI/CD and production deployment. Document experiments and present technical outcomes to stakeholders. Required Technical Skills
- Strong programming expertise in Python.
- Familiarity with the Golang (Go) stack.




- At least 1+ year of hands-on experience developing production-grade GenAI and/or Agentic AI solutions.
- Solid understanding of LLMs, prompt engineering, model integration and inference APIs.
- Experience with one or more AI frameworks such as LangChain, LangGraph, LlamaIndex or similar.
- Understanding of AI-agent concepts, tool calling, orchestration and workflow management.
- Experience developing APIs and backend services using frameworks such as FastAPI or Flask.
- Familiarity with Git, Docker, CI/CD and application deployment practices.
- Strong debugging, problem-solving and software engineering skills. Preferred Skills
- Hands-on experience building and deploying Agentic AI solutions.
- Experience with multi-agent systems and agent orchestration frameworks.
- Knowledge of RAG, embeddings, vector databases and semantic search.
- Familiarity with Model Context Protocol (MCP) and tool integrations.
- Experience with cloud platforms such as AWS, Azure or GCP.
- Knowledge of AI evaluation, observability, guardrails and responsible AI practices.
- Exposure to Kubernetes, distributed systems and microservices architecture. Qualifications
- Bachelors degree in Computer Science, Engineering or a related discipline, or equivalent practical experience.
- Demonstrated ability to develop, deploy and maintain production-grade AI applications.
- Strong communication and collaboration skills.

📌 Ai Engineer (Bengaluru)
🏢 Movate Technologies
📍 Bengaluru