TrustIn
This range is provided by TrustIn. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
$200,000.00/yr - $300,000.00/yr Direct message the job poster from TrustIn Overview
Hiring Leaders in DevOps and High Performance Engineering - Technology Infrastructure/ Talent Advisor @ TrustIn My client are on a mission to democratize safe, trustworthy, and reliable generative AI. Their popular open-source framework for ML data quality with 10k+ GitHub stars and used by top companies worldwide. We productionize our research in the form of APIs and Web Applications to help organizations tackle one of generative AIs biggest challenges: ensuring safe and reliable outputs at scale. Candidates Experience Needed
Youll work on technically challenging problems at the intersection of containerization, cloud infrastructure, and deployment automation to ensure our technology can be reliably deployed anywhere. Experience with
Python ,
FastAPI/Flask ,
PostgreSQL , and infrastructure tools like
Kubernetes, Helm, Terraform Prior work in
AI/ML infra , or experience productionizing ML prototypes = strong plus Candidates with
510 years
of backend or infrastructure engineering experience Exposure to
product-oriented engineering , especially backend systems with end-user impact Why Apply to this Startup
Work on one of the most important problems in tech : Help make generative AI safe, reliable, and production-ready. High impact, high ownership : Join a small team (~25 people) where your contributions shape core products and infrastructure. Deeply technical, research-driven environment : Founded by MIT PhDs, this company builds real AI infrastructure. Collaborate with exceptional talent : Work alongside a mission-aligned team with backgrounds in top AI labs and startups. Strong growth potential : Backed by a Series A round, operating in a fast-growing, high-need segment of the AI market. Seniority level
Mid-Senior level Employment type
Full-time Job function
Software Development Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
$200,000.00/yr - $300,000.00/yr Direct message the job poster from TrustIn Overview
Hiring Leaders in DevOps and High Performance Engineering - Technology Infrastructure/ Talent Advisor @ TrustIn My client are on a mission to democratize safe, trustworthy, and reliable generative AI. Their popular open-source framework for ML data quality with 10k+ GitHub stars and used by top companies worldwide. We productionize our research in the form of APIs and Web Applications to help organizations tackle one of generative AIs biggest challenges: ensuring safe and reliable outputs at scale. Candidates Experience Needed
Youll work on technically challenging problems at the intersection of containerization, cloud infrastructure, and deployment automation to ensure our technology can be reliably deployed anywhere. Experience with
Python ,
FastAPI/Flask ,
PostgreSQL , and infrastructure tools like
Kubernetes, Helm, Terraform Prior work in
AI/ML infra , or experience productionizing ML prototypes = strong plus Candidates with
510 years
of backend or infrastructure engineering experience Exposure to
product-oriented engineering , especially backend systems with end-user impact Why Apply to this Startup
Work on one of the most important problems in tech : Help make generative AI safe, reliable, and production-ready. High impact, high ownership : Join a small team (~25 people) where your contributions shape core products and infrastructure. Deeply technical, research-driven environment : Founded by MIT PhDs, this company builds real AI infrastructure. Collaborate with exceptional talent : Work alongside a mission-aligned team with backgrounds in top AI labs and startups. Strong growth potential : Backed by a Series A round, operating in a fast-growing, high-need segment of the AI market. Seniority level
Mid-Senior level Employment type
Full-time Job function
Software Development Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr