Senior Software Engineer – GenAI and AIML Engineering

Software Engineer

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 Lang Chain, 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 Git Ops 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).

• 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.

• Inclusive and diverse work environment.
• Opportunities for professional growth and development.
• Collaborative and innovative team culture.