Join Baseten as a Forward Deployed Engineer to architect and deploy high-scale AI applications while collaborating with customers.
Posted by employer 2 years ago
First seen on Joblaze 1 month ago
Last verified on the company career page 16 hours ago
Skills & Technologies
Role intensity
70% hands-on coding
AI in the day-to-day
Engineers partner directly with customers to deploy high-scale production AI applications.
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Forward Deployed Engineer at Baseten, the individual will engage directly with clients to design, build, and implement large-scale AI applications, ensuring a smooth transition from concept to deployment. Proficiency in programming, particularly Python, along with a solid understanding of AI/ML pipelines, is essential for success in this hands-on engineering position. This role is ideal for engineers with a background in fast-paced environments who thrive on customer interaction and enjoy navigating complex technical challenges. Baseten's rapid growth and focus on cutting-edge AI solutions provide a dynamic setting for innovation and collaboration.
Joblaze insights
Quick facts
From the original posting
THE ROLE
As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.
This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.
To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Forward Deployed Engineering team:
RESPONSIBILITIES
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.
Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.
REQUIREMENTS
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
2+ years of professional work experience in a fast-paced, high-growth environment.
Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.
Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.
Strong communication skills, particularly on complex technical topics.
Experience in building or optimizing AI/ML projects is highly valued.
BENEFITS
Competitive compensation, including meaningful equity
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
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