AI/ML Engineer – Agentic Systems

AI Engineering AI/ML Engineer – Agentic Systems On-site Full-time Location: Indore, India (on-site) Type: Full-time Experience: 2–5 years (strong freshers with real AI projects will be considered) Department: AI Engineering About the role We build AI agents that run real business workflows for clients around the world. As an AI/ML Engineer, you will design, build and ship production-grade agentic systems, including LLM-powered assistants, tool-using agents, retrieval systems and automation pipelines. You will work directly with clients and a small senior team, with no layers of approval. What you will do

• Design and develop LLM-based agents with tool use, planning, memory and multi-step reasoning.
• Build retrieval-augmented generation (RAG) systems, including chunking, embeddings, vector search and evaluation.
• Integrate agents with client systems through APIs, databases, CRMs and messaging channels.
• Write prompts, guardrails and evaluation suites to keep agents accurate, safe and on-brand.
• Deploy, monitor and improve agents in production, covering latency, cost and quality.
• Fine-tune or adapt models when needed, and select the right model for each use case.
• Work with product and client teams to turn business problems into working solutions.
• Document your work and share learnings with the team. What we are looking for
• Bachelor’s or master’s degree in computer science, AI/ML, data science or a related field (or equivalent experience).
• Strong Python skills and experience with REST APIs and backend development.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) and frameworks such as LangChain, LlamaIndex, LangGraph or similar.
• Understanding of RAG, vector databases (e.g., Pinecone, Qdrant, pgvector), embeddings and prompt engineering.
• Knowledge of core ML concepts, model evaluation and data pipelines.
• Experience with Git, Docker and a cloud platform (AWS, GCP or Azure).
• Good problem-solving and communication skills. Good to have
• Experience with multi-agent frameworks, function calling and the Model Context Protocol (MCP).
• Fine-tuning, LoRA or model-serving experience.
• Voice agents, speech-to-text or text-to-speech experience.
• Front-end basics (React) or workflow tools such as n8n.
• Open-source contributions or published AI projects. What we offer
• Real agentic AI work shipped to clients, with no internal tools that nobody uses.
• Direct work with senior engineers and clients, in small teams.
• Competitive salary based on skills and experience, with growth into lead roles. Ready to apply? Send your resume and a short note about a relevant project to our team. Email Your Application