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.