Solutions Engineer, AI/ML
Company shown to members 🔒 · Remote · Location not stated
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 6+ years required
- Where you can live
- Location not stated
- Skills and tools
- python, aws, gcp, azure, kubernetes, machine learning
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Job details
- Where you can work
- Location not stated
- Employment type
- Not stated by the employer
- Advertised pay
- Not stated by the employer
- Experience
- 6+ years required
- Employer publication date
- 8 July 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 10 November 2026
About the job
About the Company
The company is on a mission to make cutting-edge AI accessible to every business. We remove complexity and cost barriers, empowering teams to adopt AI/ML faster and more easily. Backed by top investors, including Google’s Gradient Ventures and Primary Venture. Partners, the company solves the entire AI infrastructure problem for customers 10x faster and 10x cheaper than alternatives.
Our platform comprises four layers: compute infrastructure management, open-source components, common integrations, and pre-built recipes.
Security and monitoring are built-in, ensuring a smooth path to production. This approach resonates strongly across mid-market enterprises, and we’re poised for significant growth in the coming year.
Intensity, humility, and collaboration are the cornerstones of our culture. We’re a dynamic team of forward-thinking technologists who love to learn from each other and push the boundaries of AI at an incredibly fast pace. If you’re excited about reshaping the future of AI, we’d love to hear from you.
What You’ll Do
- Work hands on with customers to deliver high quality production-ready AI and Software solutions
- Drive exceptional customer success as reflected in successful implementations and high POC conversion rates, renewal rates, and customer satisfaction scores
- Leverage deep technical expertise to support customers and troubleshoot complex issues
- Work with the product team to prioritize the roadmap based on real customer feedback
- Communicate findings to stakeholders in a clear and concise way
Requirements
- 6+ years of experience in AI, Data Science, Machine Learning, and/or software engineering
- 2+ years of experience developing AI Solutions, including modern Generative AI technologies, such as LLMs, Vector DBs, Agent frameworks, Tools, and MCP
- Strong grasp of the full MLOps lifecycle, including data engineering, training/evaluation, serving, and monitoring
- Experience with cloud platforms (AWS, GCP, Azure) and ideally Kubernetes
- Strong programming skills in Python
- Proven ability to manage multiple projects and customers simultaneously
- Excellent communication, collaboration, and customer relationship management skills
Benefits
- Competitive cash compensation
- Top-tier fully covered medical, dental, and vision insurance
- Life insurance
- 401k program
Additional Perks
- Unlimited PTO
- Monthly half day
- Citi Bike membership
- Monthly wellness stipend
- Office equipment stipend, including reimbursement for approved disability-related accommodations
- Investment in employee learning and growth opportunities
The company is committed to providing equal employment opportunities to all employees and job seekers regardless of race, color, religion, national origin, sexual orientation, gender, gender identity, marital status, disability, veteran status, or any other legally protected category. As an equal opportunities employer, we value diversity and its positive impact on our culture.
The company also complies with the Americans with Disabilities Act (ADA). We are dedicated to working with and providing reasonable accommodation to job applicants with physical or mental disabilities. If you require accommodation, please email us at [link for members] and we will promptly address your request.
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