Senior Agentic AI Developer

AIMLEAP Inc; India; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

AIMLEAP Inc is seeking a Senior Agentic AI Developer with 3+ years of AI/ML experience, particularly in LLM systems. Preferred qualifications include a degree in Computer Science or a related field, strong Python skills, and familiarity with orchestration frameworks like LangChain and Docker. The role emphasizes independent work in fast-paced environments, with responsibilities including designing advanced agentic systems and collaborating with cross-functional teams. This is a full-time, remote position.

Qualifications

• 3+ years of experience in AI/ML with a strong focus on LLMs and agentic systems.
• Hands-on experience with LLM-based agents and orchestration frameworks.
• Strong understanding of LLM prompting, tool chaining, and agent planning frameworks.

Responsibilities

• Design and build advanced LLM-driven agentic systems with memory and multi-step planning.
• Collaborate with teams to translate problem statements into intelligent automation flows.
• Maintain clean, scalable code and contribute to production-ready pipelines.

Skills

AI/ML experience

Python skills

LLM-based systems knowledge

Experience with Docker

Version control with Git

Education

B.E./B.Tech/M.E./M.Tech in Computer Science, AI/ML, or related field

Tools

LangChain

LlamaIndex

AutoGen

Job description

Senior Agentic AI Developer

Experience: 3+ years.

Location: Remote.

Mode of Engagement: Full-time.

No of Positions: 1.

CTC: As per industry standards.

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.

Job Description

What We Are Looking For:

• 3+ years of experience in AI/ML with a strong focus on LLMs and agentic systems.
• Hands‑on experience with LLM‑based agents and orchestration frameworks (LangChain, LlamaIndex, AutoGen).
• Strong Python skills and familiarity with prompting, tool integration, and agent planning strategies (ReAct, ToT).
• Ability to work independently and collaborate effectively in remote and fast‑paced environments.

Responsibilities:

• Design and build advanced LLM‑driven agentic systems with capabilities like memory, multi‑step planning, and tool invocation.
• 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.

Qualifications:

• 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.