AI Developer

Campus Engineerhub Private Limited; Mohali; Presencial; INR 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

RChilli Inc. is seeking an AI Engineer to build end-to-end Agentic AI agents and design complex workflows.

You will integrate agents with internal systems and third‑party APIs, develop scalable APIs with FastAPI, and work with LLM/NLP technologies to deliver real-time, production-grade solutions. Ideal candidates have 1–3 years of hands-on AI/ML experience, strong Python, and a track record of building production-ready agents.

Formación

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

Responsabilidades

• 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

Conocimientos

Python programming

Agentic AI development

AI agents

LLM, RAG, embeddings

NLP, NER, ML

API integration

LangChain/LangGraph

FastAPI

Problem solving

Production-ready agents

Educación

Bachelor’s in CS/related field

AI/ML specialization or certification

Herramientas

LangChain

LangGraph

MCP servers

Embeddings/Vector databases

APIs (FastAPI)

Descripción del empleo

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Application Start Date

26 Oct 2026

Job Description

At RChilli, we help organizations transform their hiring strategies with AI-powered solutions that streamline talent acquisition. Our AI-driven solutions simplify recruitment by automating candidate screening, data migration, and profile updates, ensuring recruiters have access to enriched, real-time candidate data for better hiring decisions.

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 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.