Position 1 :
Job Title : Lead GenAI / Agentic AI Engineer
Location : Pune – Kharadi
Experience : 8 to 10 Years
Key Responsibilities :
- Lead the design and development of GenAI and Agentic AI-based applications using Python.
- Architect scalable and secure solutions integrating LLMs, vector databases, and orchestration frameworks.
- Collaborate with data scientists, ML engineers, and product teams to translate business needs into AI-driven solutions.
- Manage project timelines, resources, and deliverables across agile teams.
- Ensure adherence to best practices in AI development, MLOps, and cloud deployment.
- Stay updated with emerging trends in GenAI, multi-agent systems, and open-source AI tooling.
Required Skills & Technologies :
Strong proficiency in Python and AI / ML libraries (e.g., LangChain, Hugging Face, OpenAI SDKs).Experience with Agentic AI frameworks and multi-agent orchestration.Hands-on experience with LLMs, RAG pipelines, vector databases (e.g., FAISS, Pinecone, Weaviate).Familiarity with Databricks, PySpark, and SQL for data engineering.Cloud experience with AWS and containerization tools (e.g., Docker, Kubernetes).Knowledge of CI / CD, Git, and DevOps best practices.Exposure to Scaled Agile environments.Position 2 :
Job Title : GenAI Developer – Python & Agentic AI
Location : Pune – Kharadi
Experience : 4 to 6 Years
Key Responsibilities :
Develop and deploy GenAI applications using Python and modern AI frameworks.Build and optimize RAG pipelines, integrate LLMs, and manage vector databases.Collaborate with cross-functional teams including data scientists, DevOps, and product managers.Implement and maintain agentic AI workflows using orchestration tools.Ensure code quality, scalability, and performance of AI-driven applications.Stay updated with the latest advancements in GenAI and agentic systems.Required Skills & Technologies :
Strong programming skills in Python.Experience with LLM frameworks (e.g., LangChain, Hugging Face, OpenAI SDK).Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate).Understanding of RAG architecture, prompt engineering, and token optimization.Exposure to agentic AI frameworks and multi-agent orchestration.Experience with AWS, Databricks, PySpark, and SQL.Knowledge of Git, CI / CD pipelines, and Agile development practices.Education
Master in Computer Application (M.C.A), Bachelor Of Computer Application (B.C.A), Post Graduate Diploma in Computer Applications (PGDCA)
Skills Required
Python, Llm, Databricks, Aws, Pyspark