Senior Software Engineer (Python) (AI)

Location: Remote US

Company

Mitratech builds SaaS products that simplify legal, risk, compliance, and HR operations for 20,000 client companies and more than 500,000 users across 160+ countries.

What you will do

• Build AI-first SaaS features including LLM-powered workflows, retrieval over compliance content, tool-using agents, and agent orchestration.
• Design modular engineering tasks, specifications, acceptance criteria, domain models, and repository context for both engineers and AI coding agents.
• Develop and optimize CI/CD pipelines with AI agents for code generation, automated testing, code review, quality gates, and human approval points.
• Review human- and AI-generated code for quality, security, scalability, architecture, and domain alignment.
• Design evaluation and testing approaches for non-deterministic AI systems and improve agent output based on measured results.
• Participate in on-call operations, resolve production and AI-feature issues, mentor teammates, and support architecture and design decisions.

Requirements

• Bachelor’s degree or equivalent experience; engineering, data science, computer science, or information systems emphasis is preferred.
• At least 5 years of software engineering experience developing SaaS applications, with strong hands-on experience in Python, React, AWS Lambda, and DynamoDB.
• Hands-on experience with LLM application patterns including prompt design, embeddings, vector search/RAG, tool or function calling, structured outputs, and agent orchestration.
• Demonstrated experience delivering software with AI coding agents such as Claude Code, Devin, or Codex, including CI/CD integration with automated quality gates.
• Experience designing evaluation and testing strategies for non-deterministic systems and deciding when AI is appropriate.
• Strong fundamentals in system design, API security, automated testing, and multi-tenant SaaS architecture.
• Clear, precise written communication for specifications and documentation that people and AI agents can execute.

Nice to have

• Experience with managed model platforms and provider APIs such as Amazon Bedrock, Anthropic, or OpenAI, plus agent frameworks or SDKs.
• Production experience shipping and supporting an AI/LLM-powered SaaS feature through monitoring, evaluation, and iteration.
• Experience building MCP servers or other AI-agent tool integrations.
• Background in HR, legal, risk, or compliance and familiarity with SOC 2, GDPR, or CCPA.
• Familiarity with AI risk and governance practices such as NIST AI RMF and the OWASP Top 10 for LLM Applications.
• Experience with spec-driven development.

Culture & Benefits

• Remote work in the US within a globally dispersed, diverse, and inclusive engineering culture.
• Health, dental, and vision insurance; 401(k) with employer match; FSA and HSA options; and life, short-term disability, and long-term disability insurance.
• Open PTO, 11 paid holidays, four annual paid global wellness days, and paid parental leave.
• Pet insurance, an employee assistance program, professional development opportunities, employee recognition, and LinkedIn Learning.
• Commitment to secure, well-tested, scalable software and responsible use of AI agents.