> Markdown version of [/jobs/ext/1233734-senior-gen-ai-developer](https://www.wearedevelopers.com/jobs/ext/1233734-senior-gen-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Gen AI Developer - **Company:** KBR Inc - **Location:** El Segundo, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $182,000.0 - $228,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Program Optimization, Continuous Integration, DevOps, Graph Database, Python (Programming Language), Neo4j, Systems Development Life Cycle, Search Technologies, Software Deployment, Software Engineering, Systems Integration, Data Processing, Large Language Models, Prompt Engineering, Generative AI, Kubernetes, Information Technology, GPT - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c40b54d319b3d5e7 ## About the Role Required: * Ability to obtain and maintain a Secret security clearance * Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline * 15+ years of software development experience, including 3+ years building generative AI or LLM-powered applications * Strong proficiency in Python for AI/ML development, data processing, and automation * Hands-on experience designing, developing, and deploying applications using large language models (LLMs) * Proven experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, and semantic search * Experience with prompt engineering, LLM orchestration, and developing agent-based workflows * Familiarity with LLM frameworks such as LangChain, LlamaIndex, or Semantic Kernel * Experience integrating AI solutions with enterprise data sources, APIs, and knowledge graphs * Ability to evaluate and fine-tune model outputs for quality, bias, explainability, and performance * Experience deploying and maintaining applications in cloud-native environments (Azure, Kubernetes, CI/CD pipelines) * Solid understanding of software development lifecycle (SDLC) and DevOps practices for production AI systems Desired: * Master's in Computer Science, Artificial Intelligence, or a related field * Experience integrating knowledge graphs and graph databases (e.g., Neo4j, ArangoDB) into LLM-driven applications * Exposure to multi-modal AI models (text, image, audio) and their application in real-world systems * Experience building custom LLM evaluation pipelines and benchmarking frameworks * Familiarity with model optimization techniques or edge deployment for constrained environments * Experience deploying AI solutions in defense, government, or other high-security environments * Knowledge of responsible AI practices, including bias mitigation, explainability, and governance Basic Compensation: $182,000 - $228,000 in California The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal parity. Ready to Make a Difference? If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)