AI Developer

RChilli Inc.

Sahibzada Ajit Singh Nagar

Vor Ort

INR 600.000 - 1.200.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

RChilli Inc. in Mohali is seeking an AI Developer to build end-to-end production-ready agents and design their workflows. You will integrate with MCP servers, internal systems, and enterprise APIs, using Python and FastAPI to deliver scalable AI solutions.

You will work on LLM, RAG, embeddings, NLP, and ML/DL-based projects, optimize performance, and write clean, testable code. A Bachelor’s degree in CS or related field is required; AI/ML specialization is a plus.

Qualifikationen

  • 1–3 years hands-on AI/ML/DL and NLP experience.
  • Experience building AI agents, LLM apps, RAG pipelines, APIs.
  • Familiarity with production API development and speed-focused optimization.

Aufgaben

  • Build end-to-end production-ready AI agents and workflows.
  • Design tool-calling logic, reasoning flows, and API actions.
  • Integrate agents with MCP servers and enterprise APIs.
  • Develop scalable APIs using FastAPI and Python.
  • Work on LLM, RAG, embeddings, NLP, ML/DL solutions.
  • Optimize agent performance for accuracy, latency, and cost.
  • Write clean, testable Python code and document it.
  • Monitor and improve agents in production.
  • Experiment with new AI tech for business solutions.

Kenntnisse

Python
Agentic AI development
LangChain
LangGraph
MCP
tool calling
function calling
API integrations
FastAPI
NLP

Ausbildung

Bachelor’s degree in computer science, Business, or related field
AI/ML specialization or certification

Tools

LangChain
LangGraph
MCP
API Integrations
FastAPI

Jobbeschreibung

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
Technical Expertise
  • 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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