AI Developer

Experience: 1–5 Years
Location: Bangalore Onsite
Employment Type: Full-Time
About the Role
We are looking for a hands-on AI Developer who is passionate about building practical AI solutions and has experience working with Generative AI, LLMs, AI Agents, intelligent automation, chatbots and AI-powered applications.
This is a hands-on development role. We are looking for someone who can take an AI use case from idea → prototype → working solution → deployment, rather than someone with only theoretical AI/ML knowledge.
Since Generative AI and Agentic AI are rapidly evolving areas, strong hands-on project experience and the ability to learn and experiment quickly are more important than years of experience.
What You Will Work On
· Build AI-powered applications using LLMs and Generative AI
· Develop AI Agents and Agentic workflows capable of reasoning, tool calling and executing tasks
· Build intelligent chatbots, AI assistants and conversational applications
· Develop RAG (Retrieval-Augmented Generation) solutions over documents, databases and enterprise knowledge
· Build AI-powered business process automations
· Integrate AI models with APIs, databases, enterprise applications and third-party services
· Develop AI solutions for data analysis, insights, summarization, classification, prediction and decision support
· Experiment with multi-agent architectures and autonomous workflows
· Build AI solutions that can trigger actions, call APIs and automate business processes
· Work with LLM providers and models such as OpenAI, Azure OpenAI, Claude, Gemini, Llama or similar
· Develop APIs and backend services required to integrate AI capabilities into applications
· Evaluate AI responses and improve accuracy, reliability, latency and cost
· Build prototypes/POCs quickly and convert successful ideas into production-ready solutions
· Stay updated with emerging AI technologies, frameworks and agentic patterns
Required Technical Skills
· Strong Python development skills
· Hands-on experience with Generative AI / LLM applications
· Experience working with OpenAI or other LLM APIs
· Understanding of Prompt Engineering
· Experience building AI applications rather than only consuming AI tools
RAG & Knowledge Systems
· Hands-on experience with RAG
· Embeddings and semantic search
· Vector databases such as FAISS, Pinecone, Chroma, Weaviate, Qdrant or similar
· Document ingestion, chunking, retrieval and context management
AI Agents & Automation
· Experience building AI Agents / Agentic AI
· Tool/function calling
· Agent workflows and orchestration
· Multi-step task execution
· Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Google ADK or similar
· Exposure to MCP (Model Context Protocol) is an advantage
Application Development
· REST APIs and backend development
· FastAPI / Flask or similar
· SQL / databases
· Git/GitHub
· Basic Docker/container knowledge
· Experience integrating AI with external APIs and business applications
Good to Have
· Experience with Azure OpenAI / Microsoft Azure
· Experience with Power Automate, Copilot Studio or other automation platforms
· Experience building AI-powered dashboards or insight-generation solutions
· NLP / traditional ML experience
· Experience with speech/voice AI
· Experience with document intelligence / OCR
· Experience with AI evaluation, observability and guardrails
· Experience deploying AI applications to Azure, AWS or GCP
· Knowledge of fine-tuning or open-source models
· Experience with AI-based workflow automation

Work arrangement
Hybrid