Ai Engineer

Movate Technologies; Karnataka; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Movate Technologies is seeking an experienced GenAI/Agentic AI engineer to design, develop, and deploy production-grade AI applications. You will craft AI agents capable of planning, reasoning, and executing tasks with external tools and APIs, primarily using Python and familiarity with Golang.

The role involves building retrieval-augmented generation pipelines, integrating REST APIs, and optimizing for latency, scalability, and security.

Qualifications

• Strong programming in Python and Go.
• Hands-on experience building production-grade GenAI/Agentic AI solutions.
• Deep understanding of LLMs, prompting, and API integration.
• Experience with LangChain, LangGraph, LlamaIndex or similar frameworks.
• Ability to design APIs/backend services with FastAPI/Flask.
• Familiarity with Git, Docker, CI/CD and deployment practices.
• Strong debugging and software engineering skills.

Responsibilities

• Design, develop and deploy GenAI/Agentic AI applications using Python (and Golang).
• Build AI agents with planning, reasoning, tool use, and multi-step workflows; integrate LLMs via APIs.
• Create retrieval-augmented generation pipelines and REST APIs/microservices; ensure scalability and security.

Skills

Python

Go

GenAI

LLMs

Prompt engineering

Agentic AI

APIs & backend

CI/CD

Debugging

Education

Bachelor's degree in CS/Engineering or related

Tools

LangChain

LangGraph

LlamaIndex

FastAPI

Flask

Git

Docker

Kubernetes

CI/CD pipelines

Job description

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.
• Strong 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.