AI Software Engineer, Senior The Opportunity:
As an experience d sof tware engineer, you know how to design, develop , and deliver production AI applications that demonstrate the practical value of generative AI, large language models ( LLMs ) , and autonomous workflows. You combine strong sof tware engineering fundamentals with modern AI develop ment practices to build reliable, scalable, and secure systems that solve real-world problems.
In this role, you'll design AI applications that leverage prompting, retrieval-augmented generation ( RAG ) , agentic workflows, evaluation pipelines, and human-in-the-loop interactions to deliver measurable mission impact. You'll build modular, reusable AI capabilities that integrate multiple model providers and external tools while optimizing for performance, cost, observability, and safety.
You'll rapidly prototype and iterate using AI-assisted develop ment tools, applying eval-driven develop ment and continuous experimentation to validate solutions before deploying them into production.
Working alongside data engineers, data scientists, solution architects, and product owners, you'll help define the architecture and engineering practices behind mission-critical AI applications while collaborating with a multidisciplinary team to deliver impactful mission solutions.
What You’ll Do:
Design and develop production AI applications that integrate foundation models, retrieval systems, external tools, and enterprise data sources.
Architect modular and reusable AI components for prompting, retrieval, orchestration, tool execution, memory, and evaluation.
Build AI applications that leverage structured outputs, embeddings, RAG, long-context reasoning, and agentic workflows where appropriate.
Develop data pipelines for ingesting, transforming, indexing, and refreshing structured and unstructured data used by AI applications.
Implement evaluation frameworks to measure correctness, robustness, safety, and mission outcomes using both automated and human evaluation techniques.
Optimize AI applications for latency, reliability, scalability, and operational cost through experimentation, benchmarking, and continuous improvement.
Apply asynchronous programming and event-driven design patterns to support long-running workflows and distributed AI applications.
Incorporate observability, monitoring, guardrails, access controls, and responsible AI practices throughout the application lifecycle.
Deploy AI services securely on AWS or equivalent cloud platforms using Docker, Kubernetes, serverless, or other cloud-native deployment patterns.
Apply modern sof tware engineering practices, including automated testing, CI / CD, prompt and workflow versioning, and safe rollout of AI updates.
Leverage AI-assisted develop ment tools to accelerate implementation while maintaining engineering rigor, maintainability, and code quality.
Collaborate with clients and cross-functional teams to identify high-value AI opportunities, rapidly prototype solutions, and transition successful concepts into production.
Present technical solutions to both technical and non-technical stakeholders.
Join us. The world can’t wait.
You Have:
3+ years of experience with sof tware engineering in a professional work environment
2+ years of experience develop ing AI or machine learning solutions in a professional environment
Experience building production AI applications using programming languages such as Python
Experience designing and implementing generative AI applications using large language models
Experience building retrieval-augmented generation ( RAG ) solutions and integrating AI systems with enterprise data
Experience with AI orchestration frameworks such as LangChain
Experience develop ing AI applications that interact with external tools, APIs, or enterprise systems, and evaluating and improving AI application quality through testing, experimentation, or benchmarking
Experience deploying cloud-native applications using cloud platforms…