Agentic AI Developer

1 day ago

Pune, Maharashtra, India Invezza Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About Invezza Technologies

Invezza is a technology consulting and outsourced product development company. We believe in growing together and creating long-term relationships with the common purpose of delivering innovative solutions and cutting-edge digital experiences. We are technically creative, innovators with a deep passion for technology. 

Work location - Baner, Pune

Agentic AI Developer

Job Description:

Looking for an Agentic AI Developer experienced in building intelligent, LLM-integrated agents using LangChain, Python, and vector databases. The ideal candidate will have experience building end-to-end workflows for agents that can manage tasks like file handling, ticket creation, and information retrieval — all while maintaining context and memory across sessions. 

Key Responsibilities

  • Design and deliver complete generative AI solutions, taking ownership of the entire development lifecycle—from model conceptualization to deployment—ensuring high-quality, timely project delivery.
  • Drive LLM and LangChain adoption across business functions, spearheading the seamless integration of large language models and LangChain into existing workflows to unlock business value.
  • Apply strong proficiency in Python and related tools to clean, structure, and transform data for AI-driven applications.
  • Collaborate with stakeholders to interpret business challenges and architect generative AI solutions aligned with organizational goals.
  • Stay up to date with the latest advancements in AI, frameworks, and software tools, integrating them into ongoing projects as needed.

Required Skills

  • Bachelor's degree in computer science, Engineering, or a related field
  • 1+ year of hands-on experience with Generative AI, LLMs, and LangChain
  • Proficient in building autonomous AI agents using LangChain, LlamaIndex, or Semantic Kernel
  • Strong Python skills with experience in FastAPI/Flask, asyncio, Pandas, and NumPy
  • Experience implementing short-term and long-term conversational memory
  • Skilled in using vector databases like FAISS, Pinecone, Chroma, or Weaviate
  • Capable of integrating external tools, APIs, and custom functions into LLM workflows
  • Experience designing scalable, modular agent architectures
  • Familiarity with workflow orchestration (LCEL, DAGs, or custom logic)
  • Knowledge of Git, CI/CD pipelines, and containerization (Docker)

  • Strong debugging, testing, and evaluation skills for AI agent behavior

  • Soft Skills:

  • Problem-solving attitude.
  • Good communication skills.
  • Eagerness to learn and a team player mindset.

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