The AI, Data and Platform Engineering team leads Relativity's initiative to make AI a core part of how we design, build, and test rocket hardware. We build the applications, agents, data foundations, and platform that put AI in the hands of engineers and operators across the company. We are a small, high-ownership team that ships quickly, works directly with users, and treats reliability and evaluation as first-class parts of every AI product.
About the Role
You will help build AI systems used by engineers and operators across the company, working across the full software development life cycle: concept, design, implementation, and ongoing iteration. Build AI-powered applications and agents on top of foundation models, and make them reliable in production. Follow agile development practices and ship quality software that is continuously integrated and deployed. Solve complex problems with simple solutions. Work directly with users and stakeholder teams to define requirements, implement solutions, and iterate. Technologies we use: Python, React, TypeScript, Go. Foundation models (Claude and others), agent and orchestration frameworks, retrieval and vector search, LLM evaluation tooling. Spark, Iceberg, DuckDB, Redshift, DBT, Postgres, Mongo. AWS, Kubernetes (cloud and on-prem), Terraform, Helm.
About You
Bachelor's degree or higher in Computer Science or a related engineering field (Computer, Software, Electrical, Aerospace)
3 to 5 years of experience building, shipping, and iterating on applications and services
Practical experience building AI features with large language models, such as agents, retrieval-augmented generation, tool use, or evaluation, and shipping them to real users
Hands-on experience building with large language models, whether through coursework, projects, or self-directed work
Experience designing in collaboration with non-software stakeholders
Proficient in the languages and tools you love most, and willing to learn new ones
Nice to haves but not required
Experience designing and scaling AI or service architectures that support high-performance, user-facing applications
Experience building evaluation and observability systems that keep AI reliable in production
Background in data engineering, applied machine learning, or building and maintaining knowledge bases and ontologies
Experience turning research into working prototypes and reading current AI literature to inform design choices
Experience developing, debugging, and shipping software products on large code bases that span platforms and tools
Exposure to manufacturing, hardware, robotics, or other physical-world domains
At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.
Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here.
Hiring Range
$130,000—$196,000 USD
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need a reasonable accommodation, please contact us at accommodations@relativityspace.com.
Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.
