Software Engineer III - Applied AI
AI summary of the role
This role leads full-stack development of enterprise search, RAG, and agentic AI applications at Blue Origin's Enterprise Technology division.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Lead full-stack development of search, RAG, and agentic AI applications using Python, TypeScript/React, and Java
- Own retrieval pipeline quality: design and maintain evaluation harnesses for chunking, embedding, reranking, and end-to-end RAG response quality
- Build and maintain LLM evaluation frameworks including automated regression suites, human preference datasets, and task-specific benchmarks
- Architect and deliver production-grade React frontends with deep component design, accessible UI patterns, and state management
What you’ll bring
- Bachelor's degree in Computer Science, Software Engineering, or a related field
- 5+ years of software engineering experience with demonstrated ownership of production systems
- Hands-on experience building and maintaining LLM/RAG pipelines and evaluation frameworks
- Strong frontend engineering skills: React, TypeScript, state management, accessibility, and performance optimization
Technologies
Python · TypeScript · React · Java · AWS · ECS/EKS · Lambda · OpenSearch · Terraform · CDK · RAG · LLM
About Blue Origin
Builds reusable rockets, engines, lunar landers, in-space systems, and satellite networks for civil, defense, commercial, and human-spaceflight customers.
Bootstrapped · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
AI to join our enterprise search and AI team. You'll take meaningful ownership over the architecture and delivery of agentic, workflow-driven search and discovery platforms - powering enterprise knowledge graphs and AI-assisted retrieval systems that help Blue Origin teams find critical data in seconds. At this level, you will drive technical decisions, mentor junior engineers, lead cross-functional delivery, and bring rigor to the areas that matter most: retrieval quality, LLM evaluation, frontend engineering depth, and system observability. You will help mature the team's standards in these areas and set the example for how we build production-grade AI applications. Key Responsibilities Lead full-stack development of search, RAG (Retrieval-Augmented Generation), and agentic AI applications using Python, TypeScript/React, and Java Own retrieval pipeline quality: design and maintain
More from the job description
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Enterprise Technology (ET), where we’re developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to advance Blue Origin’s mission. Enterprise Technology is the center of excellence for digital technology at Blue Origin, providing oversight and governance to align technology and business strategies. We are seeking a skilled and self-directed Software Engineer III - Applied AI to join our enterprise search and AI team. You'll take meaningful ownership over the architecture and delivery of agentic, workflow-driven search and discovery platforms - powering enterprise knowledge graphs and AI-assisted retrieval systems that help Blue Origin teams find critical data in seconds. At this level, you will drive technical decisions, mentor junior engineers, lead cross-functional delivery, and bring rigor to the areas that matter most: retrieval quality, LLM evaluation, front [... source excerpt omitted ...] d engineering depth, and system observability. You will help mature the team's standards in these areas and set the example for how we build production-grade AI applications. Key Responsibilities Lead full-stack development of search, RAG (Retrieval-Augmented Generation), and agentic AI applications using Python, TypeScript/React, and Java Own retrieval pipeline quality: design and maintain evaluation harnesses for chunking strategies, embedding models, reranking, and end-to-end RAG response quality; drive improvements through offline and online evals Build and maintain LLM evaluation frameworks - including automated regression suites, human preference datasets, and task-specific [... source excerpt omitted ...] ices including CI/CD, automated testing gates, and release management Collaborate with other engineers to integrate embedding models, vector databases, and reranking systems into production-ready pipelines Mentor junior engineers in engineering craft, testing discipline, and AI product quality Partner with product, design, and mission stakeholders to translate complex requirements into durable technical solutions Contribute to engineering standards, ADRs, and team knowledge bases Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field 5+ years of software engineering experience, with demonstrated ownership of production systems
Employer postings · Data from · Sources