Engineering Team Lead

Fetcherr is an AI-driven company at the forefront of deep learning, e-commerce, and large-scale market optimization. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time decision-making for complex markets. Initially transforming the airline industry, Fetcherr continues to expand its platform capabilities to power intelligent, data-driven products across industries.

We are looking for an experienced Engineering Team Lead to establish and lead a new team focused on building advanced data interaction and analytics capabilities for our clients. This role offers a unique opportunity to shape a highly impactful platform layer that enables intuitive, flexible, and scalable access to complex business data.

Responsibilities

• :Lead and mentor a team of engineers building core platform capabilitie
• sDesign and develop end-to-end solutions for data access, interpretation, and presentatio
• nArchitect scalable services and APIs that support complex analytical workflow
• sDrive research and experimentation to improve system accuracy, performance, and usabilit
• yCollaborate closely with product, data, and engineering teams to align platform capabilities with business need
• sDefine and maintain engineering best practices including code quality, testing, and reproducibilit
• yTake ownership of the team’s technical roadmap, architecture, and long-term strateg
• yCommunicate technical concepts and design decisions to a wide range of stakeholder

s
Requirement

• s:2+ years of experience leading and mentoring agile engineering tea
• msStrong engineering background with hands-on development experience in Pyth
• onExperience building and maintaining scalable, production-grade syste
• msProven ability to design robust platform components and abstractio
• nsA strong product mindset with attention to performance, usability, and reliabili
• tyExecution focus, clear and consistent routines, measurements and KP
• IsExcellent communication skills and a collaborative leadership sty

leNice to ha

• veExperience with advanced data systems, analytics platforms, or intelligent decision-support too
• lsExperience building LLM applicatio
• nsFamiliarity with cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelin
• esExperience designing developer-facing or client-facing interfac
• esDegree in Computer Science or a related quantitative fie