AI Software Engineer

Job Family:

Travel Required:

Clearance Required:

What You Will Do

• 15 years of experience in software engineering and production-quality Agentic AI Systems.
• Experience of generating code using prompts and navigating fluidly through generated code using GitHub Copilot or OpenAI Codex or similar platforms
• Design build evaluate deploy and maintain AI-enabled and agentic applications for enterprise use cases.
• Develop backend services and orchestration layers using Python and frameworks such as FastAPI Flask or Django; TypeScript/ experience is also valuable.
• Collaborate with front-end teams using React Angular or to deliver high-quality user experiences.
• Build AI application workflows that use LLMs retrieval and grounding tools structured outputs and APIs to complete business tasks reliably.
• Build and integrate REST and/or WebSocket APIs and connect applications to internal and external tools services and enterprise data sources.
• Deploy and operate applications on at least one cloud platform such as Azure AWS or GCP/Vertex AI.
• Create and maintain evaluations for AI features and agent workflows including quality checks regression testing and task-success criteria.
• Participate in code reviews testing documentation and continuous improvement of engineering workflows.
  

What You Will Need

• Strong software engineering fundamentals and hands-on experience building production-grade applications services APIs or microservices.
• Proficiency in one or more backend languages such as Python Java or TypeScript/.
• Experience with modern front-end frameworks such as React Angular or or strong collaboration experience with UI engineers.
• Experience designing and consuming REST and/or WebSocket APIs and integrating with databases services and external systems.
• Hands-on experience with at least one major cloud platform such as Azure AWS or GCP/Vertex AI.
• Interest in or hands-on experience building production AI systems including LLM-powered features agentic workflows or intelligent automation use cases.
• Experience applying software engineering discipline to AI systems including testing evaluation iteration and production readiness.
• Experience using Git and standard engineering practices such as branching code reviews issue tracking and CI/CD.
• Experience working in Agile teams and managing delivery through tools such as Jira.
• Ability to learn quickly and apply strong engineering judgment while working across evolving AI technologies and application requirements.
  

What Would Be Nice to Have

• Experience building AI applications with LLM integrations retrieval or grounding systems vector search tool or function calling or agent frameworks.
• Experience evaluating AI applications and agent workflows using test datasets automated checks grader-based evaluations and regression testing.
• Experience with observability and tracing for distributed or AI systems including logs metrics traces and production debugging.
• Experience with security controls for AI applications including access control secrets handling guardrails prompt-injection awareness and human-in-the-loop approvals where appropriate.
• Experience with CI/CD automated deployments GitHub Actions or similar engineering delivery pipelines.
• Experience in rapid prototyping and iterative product development.

Experience building low-code solutions using Power Apps Copilot Studio or similar platforms.

What We Offer:

Guidehouse offers a comprehensive total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

About Guidehouse

Guidehouse is an Equal Opportunity EmployerProtected Veterans Individuals with Disabilities or any other basis protected by law ordinance or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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