AI Engineering ManagerLead (IR-488)
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Job Location:
Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Our customers 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.
Requirements
- 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
Benefits
- 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
Required Experience:
Manager
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
About Intellectsoft: Since 2007 we have been helping companies and established brands reimagine their business through digitalization. Our values: DIVERSITY, OPENNESS, TEAMWORK. We embrace our diversity, strive for open dialogue and constructive feedback, and this unites us and allows ... View more
