Software Engineer - AI Agents & Automation

Job Title: Software Engineer - AI Agents & Automation

Location: Bengaluru, Karnataka

Employment Type: Full-time

Experience Level: (13 years)

About the Role

We are looking for a curious and driven Software Engineer who wants to be at the center of the AI revolution - not just using AI, but building with it. You will design and develop AI agents that automate manual workflows, bring intelligence to existing product features, and help evolve our products into the AI era. You will also contribute to and work with open-source AI tools and frameworks as part of your day-to-day development.

What You'll Do

- Design, build, and deploy AI agents that automate manual, repetitive, or complex tasks

- Work with LLM APIs (OpenAI, Anthropic, Gemini, or open-source models) to build intelligent features

- Develop agentic pipelines using frameworks like LangChain, LangGraph, CrewAI, or AutoGen

- Integrate AI agents into existing product workflows to "agentify" manual processes

- Build tool-use and function-calling capabilities so agents can interact with APIs, databases, and systems

- Upgrade existing product features by layering in AI-powered enhancements

- Evaluate agent performance, improve prompt engineering, and iterate on reliability

- Collaborate with product and research teams to identify automation opportunities

- Write clean, testable, and well-documented code that others can build on

Must-Have (Non-Negotiable)

Education: B.Tech/M.Tech in Computer Science, IT, or a related field

Experience: 12 years of hands-on software development experience

Programming: Strong proficiency in Python - your primary language for agent development

AI/ML Awareness: Working knowledge of LLMs, prompt engineering, and AI APIs

Agent Frameworks: Hands-on exposure to at least one framework - LangChain, CrewAI, AutoGen, or LangGraph

APIs & Integration: Comfortable building and consuming REST APIs to connect agents with external systems

CS Fundamentals: Solid grasp of data structures, algorithms, and software design principles

Version Control: Proficient with Git - branching, pull requests, and code reviews

Good-to-Have (Strong Plus)

RAG Pipelines: Experience with Retrieval-Augmented Generation, vector databases (Pinecone, ChromaDB, Weaviate), and semantic search

Open-Source LLMs: Familiarity with models like LLaMA, Mistral, or Phi and tools like Hugging Face

Multi-Agent Systems: Experience designing systems where multiple agents collaborate or hand off tasks

Backend Development: Experience with FastAPI or Flask for building agent-serving APIs

Cloud Platforms: Basic AWS/GCP/Azure knowledge for deploying agent workloads

Containerization: Familiarity with Docker for packaging and deploying services

Databases: Working knowledge of SQL/NoSQL and vector stores

Evaluation & Observability: Exposure to LLM evaluation tools like LangSmith or Weights & Biases

GitHub Presence: Personal projects or contributions to open-source AI/agent tooling

Who Should Apply

- You have built or experimented with AI agents, chatbots, or LLM-powered tools, even as side projects

- You are comfortable with the ambiguity and iteration that comes with building AI systems

- You don't just want to call APIs - you want to understand why the agent behaves the way it does

- You want to grow into someone who shapes AI features in a product, not just implement tickets

Bonus: Share a GitHub repo, demo, or write-up of an AI agent or LLM project you have built.