Senior AI Engineer

Teciem designs, builds, and delivers treasury and capital markets software solutions for financial institutions worldwide. We serve banks of every size and geography, offering the right setup for the right need.

Our solutions are designed to replace multiple disconnected systems with one complete, front-to-back platform, helping customers to capture trading and business opportunities quickly, clearly and with control. We cover the entire trading lifecycle, ensuring that everything - from execution to position keeping, to risk management – runs smoothly.

With decades of experience and one of the largest, most diverse client bases in the industry, we turn deep industry knowledge into software that covers most asset classes, meets complex real-world treasury and capital market's needs, and adapts as markets evolve.

What will you contribute? We are looking for a hands-on Senior AI Engineer to join our Bangalore-based team at Teciem. As a senior individual contributor, you will design, build, and deliver our GenAI solutions to production quality. You will work within the Bangalore team, reporting to the AI Engineering Lead.

Key responsibilities • Design, develop, and deliver GenAI features to production quality. • Contribute to architecture, tooling, and development standards alongside the AI Engineering Lead. • Take part in code reviews, performance optimization, and technical design. • Mentor and support other engineers, sharing knowledge and best practices. • Collaborate with product managers, designers, and software engineers on the AI roadmap. • Stay current with AI research and trends.

Required qualifications & skills • Bachelor's or Master's in Computer Science, Engineering, or a related field with a focus on AI/ML. • 5+ years of software development experience, including 2+ years in AI/ML/GenAI engineering. • Deep expertise in AI/ML, with hands-on experience in GenAI, LLMs, NLP, and conversational AI. • Demonstrated success in deploying GenAI solutions in production. • Proficiency in Python and familiarity with large-scale analytics and machine learning libraries. • Experience with modern AI frameworks and tools (e.g., LangGraph, MCP). • Ability to work autonomously across distr