About the Role:
We are looking for a hands-on Senior Software Engineer – AI & ML to build and scale next-generation AI applications, including conversational chatbots, voice bots, and AI agents.
You will work with the latest Large Language Models (LLMs), Agentic AI frameworks, speech technologies, and cloud platforms to develop intelligent, production-ready solutions.
You will collaborate closely with Product, Engineering, and Data teams to deliver scalable AI-powered experiences.
Key Responsibilities:
- Design, develop & deploy AI-powered applications using LLM & Generative AI.
- Build conversational AI solutions e.g. chatbots, voice bots & autonomous AI agents.
- Develop Agentic AI workflows using frameworks such as LangChain, LangGraph, Claude, OpenAI Agents SDK, MCP or similar technologies.
- Implement Retrieval-Augmented Generation (RAG), prompt engineering, embeddings & vector databases to improve response quality & accuracy.
- Develop scalable backend services & REST APIs & deploy AI applications on AWS using modern engineering & CI/CD practices.
- Optimize AI models & applications for latency, cost, reliability & user experience.
Required Skills & Qualifications:
- 4-6 years of software engineering including 2+ years of working experience with AI/ML & Generative AI applications.
- Experience in developing AI agents, multi-agent workflows, tool calling, functional calling & orchestration frameworks such as LangChain, LangGraph, Clause or OpenAI Agents SDK.
- Strong proficiency in Python & backend development.
- Experience in deploying cloud-native applications on AWS, Azure or GCP using Docker & CI/CD Pipelines.
- Hands on experience with leading LLMs including OpenAI GPT, Claude, Gemini, Llama or equivalent.
- Strong understanding of REST APIs, microservices, Git & distributed systems.
- Experience in building RAG pipelines using vector databases such as Pinecone, Chroma, FAISS or similar.
- Experience with Model Context Protocol (MCP), AI evaluation frameworks, guardrails, observability & MLOps.
- Experience in integrating speech technologies (STT/TTS) & voice platforms such as Twilio, ElevenLabs or Exotel.
- Exposure to Kubernetes, Redis, Kafka, Elasticsearch or similar technologies.