Engineering Manager - AI Product (100% Remote EMEA)

3 нед. назад

LatviaEuropeLeadRemoteC1

aimachine learningmodel deploymentgpu schedulinginference pipelines

Lead and mentor a small engineering team to develop and maintain a scalable AI product platform, combining hands-on coding with strategic architectural decisions.

Обязанности

Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product.
This team owns the full stack that makes the product work from model serving and inference infrastructure to the AI platform and application layer that users interact with.
You will combine leadership and technical depth, leading a team of 3 engineers , setting direction, and staying hands-on with production-grade code (~50%). With a team this size, your own output matters as much as your judgment: this is a player-coach role for a technical leader who can make strategic decisions, guide architecture, and ship reliable, cost-efficient AI systems at scale.
Lead, mentor, and grow a small, high-performing team of engineers focused on AI platform and product engineering
Drive architectural direction for the AI product with an emphasis on inference performance, reliability, cost efficiency, and developer experience
Contribute hands-on to design, implementation, and optimization of core AI systems (model serving, inference pipelines, retrieval, orchestration, evaluation)
Own the AI/ML platform end to end: GPU capacity and scheduling, model deployment and versioning, data and embedding pipelines, monitoring and quality evaluation
Collaborate closely with Product, Infrastructure, Security, and Backend teams to define priorities and ensure smooth integrations
Conduct regular 1:1s, performance reviews, and technical coaching
Foster a culture of ownership, engineering excellence, and continuous improvement
Translate strategic objectives into actionable execution plans and ensure timely delivery
Influence the evolution of the AI platform with pragmatic, forward-looking technical decisions
Champion best practices across software development, automation, evaluation, and operational excellence

Требования

7+ years of experience in software engineering, including 2+ years in a technical leadership or engineering management role
Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization)
Solid experience building distributed backend systems, strong Python, plus a systems language (Go, Rust, or similar) is a plus
Hands-on familiarity with the modern LLM stack: model APIs and open-weight models, serving frameworks (vLLM, TGI, Triton or similar), retrieval/vector databases, and prompt or context engineering
Strong grasp of AI product quality: evaluation frameworks, benchmarking, regression testing, and observability for non-deterministic systems
Strong expertise in cloud platforms (AWS preferred: EC2, ECS, Lambda, IAM, CloudWatch) and GPU compute
Familiarity with Kubernetes, containerization, and Infrastructure-as-Code (Terraform, Pulumi, AWS CDK)
Understanding of CI/CD automation (GitHub Actions, CircleCI, or similar)
Strong knowledge of Linux systems, networking fundamentals, and monitoring/alerting best practices
Excellent communication and leadership skills, able to guide performance, set expectations, and motivate engineers
Strong technical judgment and the ability to balance hands-on coding with people and strategic responsibilities

Другое

Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI
Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on
High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships
Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions
Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment
Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale
Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization
Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise
Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone
is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance wi