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AI/ML Engineer (LLM + Agent Systems) Role Overview We 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.

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This role focuses on building autonomous AI systems that can execute complex workflows (reasoning, decision-making, automation) with minimal human intervention.

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Key Responsibilities AI / ML Development ● Design, develop, and optimize ML/AI models (NLP, LLMs, embeddings, ranking)

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● Fine-tune LLMs and evaluate performance across real-world tasks

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● Build RAG pipelines, retrieval systems, and semantic search

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● Optimize inference pipelines for performance and cost Agent Systems & Orchestration ● Design and build agent-based systems (MANDATORY) ● Architect and implement multi-agent workflows (MANDATORY) ● Use frameworks like Lang Chain / Lang Graph for orchestration ● Build planning → execution → feedback → retry pipelines

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● Implement memory, context handling, and tool usage

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● Handle failures, retries, and human-in-the-loop (HITL) flows Backend & Systems ● Develop backend services using Python (Fast API) or Node.js ● Integrate AI systems into production-ready APIs ● Work with relational databases + vector databases ● Design async workflows, queues, and scalable pipelines Automation & Applied AI ● Build intelligent automation systems (e.g., browser agents, workflows)

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● Implement structured data extraction from unstructured inputs

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● Work on real-world AI execution systems (not just models) Collaboration & Engineering ● Collaborate with product and engineering teams

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● Conduct code reviews and guide junior engineers ● Write clean, maintainable, production-grade code

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● Contribute to architecture and technical decisions

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Required Skills Must Have (Strict) ● Strong experience in Python ● Solid understanding of Machine Learning & NLP ● Hands-on experience with LLMs (prompting, fine-tuning, evaluation) ● Strong experience with Lang Chain / Lang Graph (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 ( Fast API / Node.js ) ● Solid understanding of system design, async workflows, scalability Candidates without hands-on experience in agent-based or multi-agent systems will not be considered.

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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

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What You’ll Build ● Autonomous AI agents executing real-world workflows end-to-end

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● Multi-agent systems with reasoning, coordination, and execution

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● Scalable backend systems powering AI-driven products

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● Production-grade orchestration pipelines

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Experience ● 1–4 years (flexible for strong candidates)

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● years

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COMPENSATION 7–8 LPA (based on experience and skills)

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Hiring Focus ● Strong builders (not just theoretical knowledge)

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● System design + execution capability

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● Clean architecture thinking

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● Ability to ship real AI systems

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APPLY Interested candidates can apply and share their work/projects (Git Hub, portfolio, case studies) at:

Apply on Kit Job: kitjob.in/job/4641dj

📌 Ai/ml engineer (Nellore)
🏢 Leading
📍 Nellore