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Baseten

Engineering Manager, Forward Deployed Engineering (LLM)

Toronto, ON, Canada

Pay: $260,000 to $380,000 USD / year
Job type: Full-time
Apply by: Oct 18, 2026
Experience: 4+ years of professional software engineering experience, including 1+ year in a leadership or mentorship capacity.
Posting language: English
Posted: Sep 18, 2026

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Original job description

About Baseten

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

As an Engineering Manager (Player & Coach), you will lead and mentor a team of Forward Deployed Engineers focused on building, scaling, and optimizing LLM inference workloads for Baseten customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. FDE at Baseten is not a sales function – we are a mix of engineering, product, and customer architects who contribute to the core Baseten codebase, drive large portions of our feature roadmap, and execute on complicated customer engagements.

You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments.

EXAMPLE INITIATIVES

Take a look at these blog posts written by members of our Forward Deployed Engineering team:

Forward Deployed Engineering on the frontier of AI
The fastest, most accurate Whisper transcription
Deploy production-ready model servers from Docker images
Deploy custom ComfyUI workflows as APIs

Responsibilities

Leadership & Team Management

Lead, mentor, and grow a team of Forward Deployed Engineers, providing guidance on technical direction, project execution, and professional development.
Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization.
Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives.
Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed.

Technical Ownership

Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.
Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.
Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.

Requirements

Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or related field.
4+ years of professional software engineering experience, including 1+ year in a leadership or mentorship capacity.
Strong programming skills in Python, with production experience in building or optimizing ML inference systems.
Proven experience with LLMs, inference optimization, or serving frameworks (e.g., vLLM, TensorRT, Triton, Hugging Face, Ray Serve).
Familiarity with observability, profiling, and cost/performance tradeoffs in production ML systems.
Excellent communication and collaboration skills - able to lead cross-functional efforts and drive outcomes in ambiguous, fast-paced environments.

NICE TO HAVE

Experience leading customer-facing engineering teams or working directly with enterprise partners.
Deep understanding of GPU infrastructure, distributed inference, or model compression techniques.

Benefits

Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Compensation Range: $260K - $380K

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More about this job

Responsibilities

Lead and mentor a team of Forward Deployed Engineers to build and optimize LLM inference workloads for customers. Act as a player-coach by driving strategic product initiatives and designing end-to-end AI solutions on the Baseten platform.

Requirements

Requires a degree in Computer Science or Engineering with 4+ years of software engineering experience and at least 1 year in leadership. Must have strong Python skills and proven experience with LLM serving frameworks and production ML systems.

Skills

Engineering Management
Python
LLM Inference Optimization
MLOps
vLLM
TensorRT
Triton
Hugging Face
Ray Serve
GPU Infrastructure
Distributed Inference
Model Compression
Project Management
Product Management
Technical Leadership
Customer Architecture

Benefits

Competitive compensation
Equity
Medical insurance
Dental insurance
Vision insurance
Flexible PTO
Winter Break
Paid parental leave
Fertility and family-building stipend
401(k)

Visa sponsorship

Not detected in the job text

Keywords

LLM
Generative AI
Inference
Python
vLLM
TensorRT
Triton
Hugging Face
Ray Serve
GPU
Distributed Inference
Model Compression
MLOps
Docker
ComfyUI
Whisper
Observability
Profiling
Software Engineering
Forward Deployed Engineering
AI Infrastructure
Production ML
API
PRD
PoC

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