About the role
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 (Neo4J 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 TensorFlow, PyTorch, 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.