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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. This role focuses on building autonomous AI systems that can execute complex workflows (reasoning, decision-making, automation) with minimal human intervention. Key Responsibilities AI / 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 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 ● Implement memory, context handling, and tool usage ● Handle failures, retries, and human-in-the-loop (HITL) flows Backend & Systems ● Develop backend services using Python (Rapid 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) ● 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, maint

Apply on Kit Job: kitjob.in/job/45g06b

📌 Ai/ml engineer (Nellore)
🏢 TC CONSULTING SERVICES
📍 Nellore