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# AI, Data and Platform Engineering

- **Company:** Relativity Space, Inc.
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $130,000.0 - $196,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Information Engineering, Software Debugging, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, Search Technologies, Service-Oriented Architecture, Software Engineering, TypeScript, ReactJS, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Kubernetes, Information Technology, Terraform, Golang
- **Published:** August 23, 2026
- **Apply:** https://www.dice.com/job-detail/d0cd7ab4-7b9c-4e6c-a26c-e8407d7a3a37

## About the Role

* 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

## Description

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.


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