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# Senior Software Engineer GenAI and AIML Engineering

- **Company:** Artech
- **Location:** Beaverton, OR, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Review, Computer Programming, Data Governance, Monitoring of Systems, Interoperability, Python (Programming Language), Machine Learning, OAuth, Object-Oriented Software Development, OpenID, OpenAI, Swagger, Software Engineering, Openapi, Scripting, Enterprise Software Applications, Cloud Platform System, Test-Driven Development (TDD), Okta, Evaluation Pipelines, Large Language Models, Agentic-AI, Containerization, Infrastructure Automation Frameworks, Data Management, Splunk, New Relic (SaaS), Artificial Intelligence Markup Language (AIML), Human in the Loop, Docker, Databricks, Microservices, Agent2Agent Protocol
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-genai-and-aiml-engineering-beaverton-or--f996e7be-3176-4e98-ab7b-a2cf273eddf5

## About the Role

Software Engineering, Software Engineering, Artificial Intelligence (AI), Team Player, Software Development, Python Programming/Scripting Language, Computer Programming, Cloud Computing, Amazon Web Services (AWS), Cloud Applications, We are seeking an experienced software engineer passionate about designing and delivering robust, scalable AI/ML solutions that accelerate insights at an enterprise scale. You thrive in a fast-paced, collaborative environment and have a proven track record of building high-quality software., * Applicants must be Local and able to work directly for Artech on W2.

 * 5 years of professional software development experience.
 * Strong programming skills in Python (additional languages a plus).
 * Hands-on experience with AWS Cloud Platform and large-scale application development on cloud platforms.
 * Knowledge and experience in agentic workflows, AI/LLM-powered enterprise applications, and interoperability standards such as A2A and MCP protocol.
 * Knowledge and experience in operationalizing LLMs, including evaluation pipelines (automated and human-in-the-loop), guardrails for safety and compliance, and continuous improvement strategies for model performance.
 * Familiarity with LLM tooling and frameworks such as LangChain, Guardrails AI, OpenAI Evals, or similar for monitoring, observability, and governance.
 * Proficiency in object-oriented, multi-tier architectures within complex environments.
 * Experience with Infrastructure-as-Code (IaC) and GitOps workflows.
 * Familiarity with containerization (Docker), CI/CD pipelines, and dependency management tools (e.g., Poetry, uv).
 * Experience working in Agile development environments and mentoring junior engineers.
 * Strong problem-solving and analytical skills, with a focus on delivering well-tested, well-documented code.
 * Ability to communicate technical concepts in business terms, translating insights into actionable recommendations.
 * Experience working on Databricks platform.
 * Knowledge of Atomic Design principles for scalable component organization.
 * Experience in Test-Driven Development (TDD) or willingness to adopt TDD practices.
 * Familiarity with instrumentation and monitoring tools (e.g., New Relic, Splunk).
 * Understanding of API documentation standards (OpenAPI/Swagger).
 * Knowledge of enterprise authentication/authorization protocols (OAuth, OIDC, Okta, or similar SSO platforms).

## Description

* Design, develop, and maintain scalable AI services powering data platforms.
 * Build SDKs, APIs, and microservices to support enterprise-wide applications.
 * Develop agentic workflows and AI/LLM-powered enterprise applications.
 * Collaborate with product managers and cross-functional engineering teams to deliver impactful solutions.
 * Implement best practices in software development, data governance, and platform observability.
 * Participate in code reviews, provide constructive feedback, and mentor junior engineers.