Job Description
Location: Mumbai, Pune India Experience Required: 5–9 years
Short Description ::
We are looking for a hands-on, logically strong Senior AI Engineer who can design, build, and optimize intelligent systems using LLMs, agentic frameworks, graph databases, python and modern AI/ML tooling. This role is ideal for someone who enjoys solving complex problems, experimenting with cutting-edge architectures, and shipping production-grade AI solutions.
Role Highlights ::
• Build next-gen agentic AI workflows • Develop and productionize RAG systems and graph-augmented reasoning pipelines • Work hands-on with cutting-edge LLM architectures and tooling • Solve challenging logical and engineering problems every day • Contribute to architecture, experimentation, and optimization decisions
Skills and Qualifications: ::
• 4-9 years of strong technical background, including a deep understanding of AI concepts and methodologies.
• 3-5 years hands on experience with LLM (commercial and open source), Lang Chain, Llama Index, agentic AI, Retrieval Augmented Generation, and Vector Databases
• 3-5 years of experience with graph databases (Neo4 J and Cypher would be a big plus • Txt2sql hand on experience is a plus
• Programing languages such as Python and Java and familiarity with libraries/frameworks such as Tensor Flow, Py Torch, scikit-learn, Scipy, Pandas, etc.
• Solid understanding of experimental design, hypothesis testing, and casual inference methods
• Experience working with agile methodologies and tools.
• A passion for innovation and a desire to push the boundaries of AI.
• Financial industry experience would be a plus.
Short Description ::
We are looking for a hands-on, logically strong Senior AI Engineer who can design, build, and optimize intelligent systems using LLMs, agentic frameworks, graph databases, python and modern AI/ML tooling. This role is ideal for someone who enjoys solving complex problems, experimenting with cutting-edge architectures, and shipping production-grade AI solutions.
Role Highlights ::
• Build next-gen agentic AI workflows • Develop and productionize RAG systems and graph-augmented reasoning pipelines • Work hands-on with cutting-edge LLM architectures and tooling • Solve challenging logical and engineering problems every day • Contribute to architecture, experimentation, and optimization decisions
Skills and Qualifications: ::
• 4-9 years of strong technical background, including a deep understanding of AI concepts and methodologies.
• 3-5 years hands on experience with LLM (commercial and open source), Lang Chain, Llama Index, agentic AI, Retrieval Augmented Generation, and Vector Databases
• 3-5 years of experience with graph databases (Neo4 J and Cypher would be a big plus • Txt2sql hand on experience is a plus
• Programing languages such as Python and Java and familiarity with libraries/frameworks such as Tensor Flow, Py Torch, scikit-learn, Scipy, Pandas, etc.
• Solid understanding of experimental design, hypothesis testing, and casual inference methods
• Experience working with agile methodologies and tools.
• A passion for innovation and a desire to push the boundaries of AI.
• Financial industry experience would be a plus.
Apply for this Position
Ready to join ? Click the button below to submit your application.
Submit Application