Software Engineer II

About the role

At Mitratech, we are a team of technocrats 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

The Software Engineer is responsible for coding, testing and implementing products for our HRS Platform Team, which is increasingly focused on agentic and AI-driven engineering. This role is for engineers who have meaningfully adapted their day-to-day workflow (design, coding, testing and debugging) around AI-assisted and agentic development tools and who can bring that fluency to raise the bar for the broader team. Responsibilities include reviewing functional and technical requirements, performing research, designing solutions and developing code in a variety of programming languages for a Web + AI -based enterprise application.

Key responsibilities

Engineering

- Design, build, test and ship full-stack features in C#/.NET, ASP.NET Core Web APIs, SQL and a modern web front end.

- Write code that meets design specifications, follows team standards, and is easy to maintain.

- Review functional and technical requirements, research options, and propose designs. Write or contribute to design documents.

- Join design sessions and code reviews.

AI-assisted engineering

- Use AI-assisted and agentic development tools in daily work, including code generation, coding agents, AI code review and test generation, to improve both speed and quality.

- Get reliable, production-quality output from agentic tools through good context engineering: agent instructions, skills, repo conventions and guardrails.

- Coach teammates on effective and responsible AI tool use, including review discipline, security and data-handling rules.

AI in the product

- Build and integrate LLM features into Tracker I-9, such as document extraction, RAG, agents and tool use, using Azure OpenAI and related Azure AI services.

- Add observability, evaluation and cost and latency monitoring to AI features. Make sure they meet compliance, privacy and security requirements for employee PII.