AI Developer

RChilli Inc

Mohali

On-site

INR 1,400,000 - 2,200,000

Full time

6 days ago
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Job summary

RChilli Inc in Mohali is seeking an AI Developer with 1–3 years of hands-on experience to build production-ready AI agents, design workflows, and integrate with MCP servers and enterprise APIs. You will work on LLM, RAG, embeddings, and NLP to create scalable solutions.

The role requires strong Python skills, API development with FastAPI, and a practical mindset for testing, profiling, and improving agent performance in production.

Qualifications

  • Bachelor's degree in CS or related field.
  • Specialization or certification in AI/ML is a plus.
  • Hands-on AI/ML/DL experience is preferred.

Responsibilities

  • Build end-to-end production-ready AI agents.
  • Design agent workflows, reasoning flows, and tool-calling logic.
  • Integrate agents with MCP servers and enterprise APIs.
  • Develop scalable and secure APIs using frameworks like FastAPI.
  • Work on LLM, RAG, embeddings, NLP, NER, ML, and DL-based solutions.
  • Optimize agents for accuracy, latency, cost, and reliability.
  • Write clean, reusable Python code with good tests.
  • Monitor and improve agent performance in production.
  • Experiment with new AI technologies for business solutions.

Skills

Python programming
Agentic AI development
AI agents
MCP servers
Tool calling
Function calling
Agent workflows
LLM applications
RAG pipelines
Embeddings
Vector databases

Education

Bachelor’s degree in computer science
Specialization or Certification in AI/ML

Tools

LangChain
LangGraph
MCP
Tool calling
Function calling
FastAPI

Job description

Role: AI Developer

Exp: 1-3 years

Work Mode: Work from Office, Mohali

Shift time: 10am - 8pm IST (10 hrs shift)

Job Role & Responsibilities
  • Build end-to-end production-ready Agentic AI agents.
  • Design agent workflows, reasoning flows, tool-calling logic, and API-based actions.
  • Integrate agents with Agentic Platforms, MCP servers, internal systems, third-party APIs, and enterprise applications.
  • Develop scalable and secure APIs using frameworks like FastAPI.
  • Work on LLM, RAG, embeddings, vector databases, NLP, NER, ML, and DL-based solutions.
  • Optimize AI agents and models for accuracy, latency, cost, reliability, and scalability.
  • Write clean, reusable, testable, and well-documented Python code.
  • Monitor, debug, profile, and improve agent performance in production.
  • Experiment with new AI technologies and convert them into working business solutions
Qualification Required
  • Bachelor’s degree in computer science, Business, or related field.
  • Specialization or Certification in AI or ML is a plus.
Technical background
  • 1-3 years of hands-on experience in AI/ML/DL, NLP, LLM, or Agentic AI projects.
  • Practical experience in building AI agents, LLM applications, RAG pipelines, and API integrations.
  • Experience with LangChain, LangGraph, MCP, tool calling, function calling, embeddings, and vector databases.
  • Strong understanding of NLP, NER, text analytics, ML, and deep learning.
  • Experience in production API development is preferred.
  • HR-tech, recruitment AI, resume parsing, or job matching experience is highly preferred.
  • Knowledge of Reinforcement Learning is a plus.
  • Certifications or specialization in Artificial Intelligence is highly desirable.
Minimum skills we look for
  • Strong Python programming skills.
  • Hands-on experience in Agentic AI development.
  • Strong understanding of AI agents, MCP, tool calling, function calling, and agent workflows.
  • Experience in building end-to-end production-ready agents.
  • Ability to integrate agents with Agentic platforms, MCP servers, APIs, and enterprise systems.
  • Knowledge of LLMs, RAG, prompt engineering, embeddings, and vector databases.
  • Experience with LangChain, LangGraph, CrewAI, or similar agent frameworks.
  • Experience with FastAPI or similar frameworks for API development.
  • Basic understanding of ML, DL, NLP, and NER.
  • Strong problem-solving skills and willingness to experiment with new agent technologies.
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