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
Job Title: Agentic AI Developer
Experience: 1 to 2 Years
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.
