Agentic AI Developer

Job Title: Agentic AI Developer

Client Company who is hiring for this role: Invezza Technologies

Location: Baner, Pune, Maharashtra - 411069

Work Mode: In-Office

Experience Required: 2-4 years

Only those apply who are situated or residing in Pune.

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.

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

1. 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.
2. 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.
3. Apply strong proficiency in Python and related tools to clean, structure, and transform data for AI-driven applications.
4. Collaborate with stakeholders to interpret business challenges and architect generative AI solutions aligned with organizational goals.
5. Stay up to date with the latest advancements in AI, frameworks, and software tools, integrating them into ongoing projects as needed.

Required Skills

1. Bachelor's degree in computer science, Engineering, or a related field
2. 1+ year of hands-on experience with Generative AI, LLMs, and LangChain
3. Proficient in building autonomous AI agents using LangChain, LlamaIndex, or Semantic Kernel
4. Strong Python skills with experience in FastAPI/Flask, asyncio, Pandas, and NumPy
5. Experience implementing short-term and long-term conversational memory
6. Skilled in using vector databases like FAISS, Pinecone, Chroma, or Weaviate
7. Capable of integrating external tools, APIs, and custom functions into LLM workflows
8. Experience designing scalable, modular agent architectures
9. Familiarity with workflow orchestration (LCEL, DAGs, or custom logic)
10. Knowledge of Git, CI/CD pipelines, and containerization (Docker)
11. Strong debugging, testing, and evaluation skills for AI agent behavior

Soft Skills:

Problem-solving attitude.

Good communication skills is mandatory.

• Eagerness to learn and a team player mindset.