AI/ML Engineer

AI/ML Engineer (LLM + Agent Systems)Role OverviewWe are hiring an AI/ML Engineer to design, build, and scale intelligent systems powered by LLMs and agent-based architectures. You will work on end-to-end AI pipelines including model development, fine-tuning, multi-agent orchestration, and backend integration.This role focuses on building autonomous AI systems that can execute complex workflows (reasoning, decision-making, automation) with minimal human intervention. Key ResponsibilitiesAI / ML Development●     Design, develop, and optimize ML/AI models (NLP, LLMs, embeddings, ranking)●     Fine-tune LLMs and evaluate performance across real-world tasks●     Build RAG pipelines, retrieval systems, and semantic search●     Optimize inference pipelines for performance and costAgent Systems & Orchestration●     Design and build agent-based systems (MANDATORY)●     Architect and implement multi-agent workflows (MANDATORY)●     Use frameworks like LangChain / LangGraph for orchestration●     Build planning → execution → feedback → retry pipelines●     Implement memory, context handling, and tool usage●     Handle failures, retries, and human-in-the-loop (HITL) flowsBackend & Systems●     Develop backend services using Python (FastAPI) or Node.js●     Integrate AI systems into production-ready APIs●     Work with relational databases + vector databases●     Design async workflows, queues, and scalable pipelinesAutomation & Applied AI●     Build intelligent automation systems (e.g., browser agents, workflows)●     Implement structured data extraction from unstructured inputs●     Work on real-world AI execution systems (not just models)Collaboration & Engineering●     Collaborate with product and engineering teams●     Conduct code reviews and guide junior engineers●     Write clean, maintainable, production-grade code●     Contribute to architecture and technical decisions Required SkillsMust Have (Strict)●     Strong experience in Python●     Solid understanding of Machine Learning & NLP●     Hands-on experience with LLMs (prompting, fine-tuning, evaluation)●     Strong experience with LangChain / LangGraph (or equivalent)●     Deep understanding of RAG, embeddings, and vector databases●     Proven experience building agent-based systems (MANDATORY)●     Proven experience with multi-agent architectures (MANDATORY)●     Backend development experience (FastAPI / Node.js)●     Strong understanding of system design, async workflows, scalabilityCandidates without hands-on experience in agent-based or multi-agent systems will not be considered. Good to Have●     Experience with browser automation (Playwright, Puppeteer)●     Experience with job/resume parsing or ATS systems●     Knowledge of queue systems (Kafka, Redis, Celery, etc.)●     Exposure to distributed systems What You’ll Build●     Autonomous AI agents executing real-world workflows end-to-end●     Multi-agent systems with reasoning, coordination, and execution●     Scalable backend systems powering AI-driven products●     Production-grade orchestration pipelines Experience●     1–4 years (flexible for strong candidates)●     Real project experience > yearsCOMPENSATION7–8 LPA (based on experience and skills) Hiring Focus●     Strong builders (not just theoretical knowledge)●     System design + execution capability●     Clean architecture thinking●     Ability to ship real AI systems APPLYInterested candidates can apply and share their work/projects (GitHub, portfolio, case studies) at:

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