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Agentic AI Engineer

Job in Kolkata, West Bengal, India
Listing for: People Prime Worldwide
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Science Manager
Job Description & How to Apply Below
GenAI / Agentic AI Engineer (Python)
Band:  C1 / C2

Location:

Kolkata
Work Mode:  Hybrid

Employment Type:

Permanent
Experience

Required:

7+ Years (Relevant GenAI / Agentic AI / Python)

Role Overview
We are looking for a highly skilled  GenAI / Agentic AI Engineer  with strong Python expertise and hands-on experience in building, deploying, and scaling  Generative AI and Agentic AI solutions . The role involves working on advanced AI-driven systems, LLM orchestration, and intelligent agents in an enterprise environment.

Key Responsibilities
Design, develop, and deploy  Generative AI  solutions using Python
Build  Agentic AI workflows  for autonomous reasoning, planning, and execution
Work with  LLMs , prompt engineering, embeddings, and vector databases
Develop scalable backend services to integrate GenAI capabilities
Optimize AI pipelines for performance, reliability, and cost
Collaborate with product, data science, and platform teams
Ensure responsible AI practices, security, and governance compliance
Support PoCs, production rollouts, and continuous enhancements
Mandatory Skills & Experience
7+ years  of relevant experience in  GenAI / Agentic AI / Python
Strong proficiency in  Python  (data structures, async programming, APIs)
Hands-on experience with  LLMs  and GenAI frameworks
Experience designing and implementing  AI agents / multi-agent systems
Knowledge of prompt engineering, RAG pipelines, and vector databases
Experience integrating AI models into enterprise applications
Strong debugging, optimization, and problem-solving skills
⭐ Good to Have

Experience with cloud platforms (AWS / Azure / GCP)
Exposure to MLOps, model lifecycle management, and CI/CD
Knowledge of AI security, governance, and responsible AI practices
Experience working in large-scale enterprise environments
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