Artificial Intelligence Engineer

Job description

Senior AI Engineer 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: • 9-13 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 • Programming 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. • Experience on Claude / Autogen / similar agentic Ai platforms would be plus Junior AI Engineer: 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- 8 year of strong technical background, including a deep understanding of AI concepts and methodologies. • 3- 4 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 • Programming 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. • Experience on Claude / Autogen / similar agentic Ai platforms would be plus