Senior Software Engineer (Python) - Remote New Remote US

Mitratech, Inc.; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote Work

Career Development

Employee Recognition

Job summary

Mitratech, Inc. is seeking a Senior Software Engineer (Python) to join our AI-first Workforce Compliance Engineering team. The role focuses on building LLM-powered features, retrieval over compliance content, and agent-based coding workflows in a remote US setting.

You will shape how AI agents plan, write, and review code within robust engineering oversight. You will design modular solutions, lead CI/CD pipelines with AI agents, and ensure secure, scalable multi-tenant SaaS architecture while

Qualifications

• Bachelor's degree in engineering, data science, CS or information systems preferred.
• 5+ years of SaaS software development experience with Python, React, and AWS (Lambda, DynamoDB).
• Experience with LLM application patterns: prompts, embeddings, vector search/RAG, tool calls, structured outputs, agent orchestration.
• Experience delivering AI-assisted software using coding agents and integrating them into CI/CD with quality gates.
• Experience designing evaluation/testing for non-deterministic AI-driven systems.

Responsibilities

• Lead system design and task decomposition for AI-enabled SaaS features.
• Develop and optimize AI-assisted CI/CD pipelines with safe guardrails and human approvals.
• Design and test structured prompts and repository context for AI agents.
• Conduct thorough code reviews of human and AI-generated code for security and scalability.
• Ensure architectural compliance and modularity across multi-tenant deployments.
• Contribute to domain models and technical docs to support AI agent performance.

Skills

Python

React

AWS

LLM patterns

CI/CD pipelines

System design

Code review

Security

Education

Bachelor's degree in CS or related

Tools

Docker

Kubernetes

Terraform

Job description

Senior Software Engineer (Python) - Remote

Remote US

At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Job Overview:

You’ll be joining our Mitratech Workforce Compliance Engineering team, building AI-first SaaS products. This role sits at the intersection of two disciplines. First, you’ll build the AI features our customers use every day: LLM-powered workflows, retrieval over compliance content, and agents that take action inside our products. Second, you’ll help lead how we build software, using agentic, pipeline-driven development in which AI coding agents plan, write, test, and review code under strong engineering oversight.

We hold both to the same bar: high quality (low escaped defects), well tested (Cypress automation framework with focus on unit test coverage), secure (scanned and verified), scalable (AWS, but hardware isn’t the answer), and measurably accurate when AI is involved. This is a great opportunity to join a growing company, be part of an excellent team, architect solutions to complex problems, and deliver valuable features where clean code, and trustworthy AI, matter.

• System Design & Task Decomposition: Break down high-level product goals into well-defined, modular engineering tasks with clear specifications and acceptance criteria that can be executed by both engineers and AI coding agents.
• Agentic Development Pipelines: Develop and optimize CI/CD pipelines that incorporate AI agents for code generation, automated testing, and intelligent code review, with guardrails, quality gates, and clear human approval points.
• Specification & Context Engineering: Design and test structured instructions, prompts, specifications, and repository context (e.g., agent instruction files, reusable skills, MCP tools) that drive accurate, context-aligned output from AI agents, and measure and improve agent output over time.
• Code Review & Validation: Conduct in-depth reviews of both human and AI-generated code, ensuring quality, security, scalability, and alignment with domain requirements.
• Architectural Oversight: Ensure design plans created by both human engineers and AI tools adhere to architectural best practices with a focus on modularity, bounded contexts, etc.
• Documentation and Domain Clarity: Contribute to the development of domain models, technical documentation, and internal knowledge bases that support AI agent performance and team activity.

Engineering Excellence & Teamwork

• Write secure code. Avoid introducing an OWASP vulnerability, including those in the OWASP Top 10 for LLM Applications. Know how APIs are secured, sessions are handled, and data is validated properly.
• Serve in an on-call rotation (DevOps philosophy where you will participate in ops) and respond promptly to any production issues, including AI feature degradations, to remediate rapidly.
• Be a teammate, help other teammates resolve complex problems or think through design/architecture challenges. Be available and responsive.
• Mentor others and foster an excellent engineering culture based in trust, accountability, character, and honesty, including coaching teammates on using AI agents effectively and responsibly.
• Seek feedback and deliver constructive criticism (e.g., code reviews) in a tactful and empathetic manner; build others up and mentor without ego.

Your Qualifications:

Required

• Possess a bachelor’s degree, or equivalent experience. Emphasis in engineering, data science, computer science or information systems is preferred.
• Have a minimum of 5 years of software engineering experience developing SaaS applications, with strong hands‑on experience in our stack: Python, React, AWS (Lambda, DynamoDB).
• Hands‑on experience with LLM application patterns: prompt design, embeddings and vector search/RAG, tool/function calling, structured outputs, and agent orchestration.
• Demonstrated experience delivering software with AI coding agents such as Claude Code, Devin, or Codex as a core part of your workflow, including integrating agents into CI/CD pipelines with automated quality gates.
• Experience designing evaluation and testing strategies for non-deterministic systems, and the judgment to decide when AI is, and is not, the right solution.
• Strong fundamentals in system design, API security, automated testing, and multi‑tenant SaaS architecture.
• Clear, precise written communication: specs and documentation that both people and AI agents can act on.

Preferred

• Experience with managed model platforms and provider APIs (e.g., Amazon Bedrock, Anthropic, OpenAI) and agent frameworks or SDKs.
• Have shipped at least one AI/LLM-powered feature to production in a SaaS product and supported it after launch (monitoring, evaluation, and iteration based on real usage).
• Experience building MCP servers or other tool integrations for AI agents.
• Background in regulated domains (HR, legal, risk, or compliance) and with data privacy and security standards (e.g., SOC 2, GDPR, CCPA).
• Familiarity with AI risk and governance practices (e.g., NIST AI RMF, OWASP Top 10 for LLM Applications).
• Experience with spec‑driven development.
• Python, React
• AWS (Lambda, DynamoDB, SQS, S3, CloudFront, API Gateway)
• Containerized environments with CICD pipelines, RESTful APIs, etc.
• LLM, RAG, and MCP components powering in-product AI features
• AI coding agents integrated into the development lifecycle with automated quality gates

Benefits we offer:

• 401 (k) + Employer Match *
• Open PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off
• STD, LTD & Group Life Insurance
• Pet Insurance
• FSA & HSA Options
• Employee Assistance Program

Perks we offer:

• Remote Work
• Career Advancement & Professional Development Opportunities
• Employee Recognition

Mitratech is proud to be an EEOE, M/F/D/V, and we are committed to diversity both in practice and spirit at the corporate level.Mitratech participates in the Electronic Employment Verification Program. E-Verify is an Internet-based system that compares information from an employee’s I-9 to data from the U.S. Department of Homeland Security and Social Security Administration Records. To learn more, visit: everify.com

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

As set forth in Mitratech’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.