Job description
Our customer’s product is an AI-powered platform that helps businesses make better decisions and work more efficiently. It uses advanced analytics and machine learning to analyze large amounts of data and provide useful insights and predictions. The platform is widely used in various industries, including healthcare, to optimize processes, improve customer experiences, and support innovation. It integrates easily with existing systems, making it easier for teams to make quick, data-driven decisions to deliver cutting-edge solutions.
This is a hands-on leadership role for someone who brings strong engineering judgment, deep GenAI experience, and the ability to grow high-performing teams while owning complex delivery outcomes.
- 8+ years of software engineering experience, including 3+ years in a technical leadership or engineering management role
- Strong backend engineering experience in Python (FastAPI, Flask, or similar frameworks)
- Hands-on experience building, integrating, and scaling GenAI / LLM-based systems, including prompt pipelines, model APIs, and agentic or workflow-based AI solutions
- Experience building and operating AI-enabled or data-intensive systems in production
- Proven ability to lead engineers while remaining technically credible
- Experience owning architecture and delivery across multiple services
- Comfortable operating in ambiguity and making pragmatic technical and delivery decisions
Nice to have skills:
- Experience with cloud platforms (AWS, Azure, or GCP)
- Exposure to consulting or client-facing environments
- Background in platform, shared services, or accelerator-based engineering
Responsibilities:
Technical Leadership & Architecture:
Own system-level architecture and technical decision-making across AI platforms and services
Guide design and implementation of backend services, APIs, and AI integrations
Ensure systems are scalable, secure, and production-ready
Provide technical direction on GenAI workflows, agentic systems, and service orchestration Engineering Management & Team Leadership:
Manage and mentor senior engineers, technical leads, and service owners
Set clear expectations around ownership, quality, and delivery
Support team growth through coaching, feedback, and development planning
Build a culture of strong engineering fundamentals, accountability, and collaboration Delivery Ownership & Execution:
Own delivery outcomes across multiple parallel workstreams
Partner with product and delivery teams to plan, prioritize, and sequence work
Identify risks early and make pragmatic trade-offs
Act as escalation point for technical and delivery challenges AI Platform & Service Enablement:
Oversee development of AI-powered backend services using Python (FastAPI / Flask)
Enable GenAI use cases by integrating LLMs, prompt pipelines, agentic workflows, and enterprise data systems
Drive standardization and reuse across AI components where appropriate
Ensure clear service ownership and operational readiness Engineering Quality & Governance:
Define and enforce engineering standards, patterns, and best practices
Review designs and code at a system level to ensure quality and maintainability
Identify technical debt and guide remediation plans
Partner with DevOps to ensure observability, reliability, and operational clarity Cross-Functional Collaboration:
Work closely with Product, AI/ML, DevOps, Data Engineering, and Consulting teams
Translate business and client needs into sound technical approaches
Communicate technical trade-offs clearly to non-technical stakeholders
Support client-facing discussions when required for complex AI systems What Success Looks Like in This Role:
Engineering teams operate independently with clear ownership
GenAI systems are scalable, reliable, and reusable
Delivery is predictable and high quality
Technical decisions balance speed with long-term sustainability
Engineers grow in capability, confidence, and impact
Awesome projects with an impact
Udemy courses of your choice
Team-buildings, events, marathons & charity activities to connect and recharge
Workshops, trainings, expert knowledge-sharing that keep you growing
Clear career path
Absence days for work-life balance
Flexible hours & work setup - work from anywhere and organize your day your way
