AI Developer

RChilli Inc; Mohili Village; On-site; INR 600,000 - 900,000; Full time

Job summary

RChilli Inc. is seeking an AI Developer to build end-to-end production-ready Agentic AI agents and design workflows and tool-calling logic. You will integrate agents with MCP servers, internal systems, and external APIs while developing scalable APIs with FastAPI.

You will work with LLM, RAG, embeddings, vector databases, NLP/NER, ML/DL solutions and optimize for performance, cost, and reliability. Strong Python skills and production API experience are essential.

Qualifications

• Bachelor’s degree in computer science, business, or related field.
• Specialization or Certification in AI or ML is a plus.

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

Skills

Python

Agentic AI

LLM & NLP

API integration

LangChain

FastAPI

Prompt engineering

Vector databases

MCP servers

Education

Bachelor’s degree in CS / related field

AI/ML specialization or certification

Tools

LangChain

LangGraph

MCP

CrewAI

Embeddings

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.