ML Agent Architect
AIMLEAPRepublic Of India, IN2 days ago
Job descriptionDesign and build advanced LLM-driven agentic systems with memory, multi-step planning, and tool invocation capabilities. Implement Model Context Protocol (MCP) patterns to coordinate LLMs with APIs, scrapers, and microservices. Collaborate with cross-functional teams to translate problem statements into intelligent automation flows. Maintain clean, scalable code and contribute to production-ready pipelines with Docker, FastAPI, and Git. Stay updated with the latest innovations in LLM reasoning, agent architectures, and open-source tools. Bachelor’s or master's in computer science, Artificial Intelligence, or related field. 3+ years of experience in AI / ML or backend engineering roles, with recent focus on LLM-based systems. Strong understanding of LLM prompting, tool chaining, memory management, and agent planning frameworks (e.G., ReAct, Tree of Thought). Familiar with containerization (Docker), REST APIs, and version control systems (Git). Good written and verbal communication skills.
AI Developer - ML & AI Agents (3 to 9 Years)
Experience : 3 to 6 years
Location : Remote
Mode of Engagement : Full-time
No of Positions : 4
Educational Qualification : B.E. / B.Tech / M.E. / M.Tech in Computer Science, AI / ML, or related field
Industry : IT – AI / ML Services
Notice Period : Immediate Joiner
What We Are Looking For :
- 3–5years of experience in AI / ML with hands-on exposure to LLMs and agentic AI development.
- Strong Python programming background for building AI workflows, APIs, and integrations.
- Experience with agentic AI frameworks like LangChain, LlamaIndex, or AutoGen.
- Ability to work independently and collaborate effectively in remote and fast-paced environments.
Responsibilities :
Qualifications :
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