Position Overview

We are seeking a Software Engineer I to join our engineering team and take on meaningful technical challenges. In this role, you will contribute to building end-to-end features that form the foundation of our next-generation SaaS platform, designed to make compliance simple, scalable, and powerful for global customers.

As AI capabilities become central to our products, you will have the opportunity to work on AI-enabled features alongside traditional full-stack development. This includes developing integration layers that connect AI services to existing applications, building new AI-powered features, and contributing across our expanding product portfolio.

What You’ll Do

Develop full-stack features using Node.js, Python, and React.
Build integration layers that connect AI capabilities to existing applications.
Work on MCP (Model Context Protocol) servers and AI integration patterns.
Create APIs and backend services that expose application features for AI consumption.
Develop React components supporting AI-enhanced user experiences.
Implement security, authentication, and authorization mechanisms for AI features.
Build audit logging and observability solutions for AI-driven workflows.
Work with AWS services and containerized deployments using Docker.

Required Qualifications

Tech Stack

Core: Node.js, React, TypeScript, AWS, MSSQL, Docker, CI/CD.
Good to have knowledge of .NET (C#).
AI & Integration (Good to Have): Python, MCP, AWS Bedrock, LangGraph or Semantic Kernel, Vector Databases.

Technical Skills

1–3 years of professional software development experience.
Hands-on experience with Node.js, Python, React, and JavaScript/TypeScript.
Familiarity with REST APIs and API design principles.
Understanding of relational databases such as PostgreSQL, MSSQL, or similar.
Experience with Git, Docker, and CI/CD pipelines.
Familiarity with AWS or other cloud platforms.
Understanding of authentication and authorization patterns.

Problem-Solving & Learning

Open to learning new technologies and frameworks.
Applies a structured approach to solving technical problems.
Comfortable working with ambiguity and evolving requirements.
Actively seeks feedback and iterates on solutions.

Communication & Collaboration

Clearly explains technical concepts to peers and stakeholders.
Engages constructively in code reviews.
Collaborates effectively with cross-functional teams.
Documents code, architectural decisions, and technical processes.

Ownership & Execution

Follows through on deliverables and assigned commitments.
Completes tasks independently while knowing when to seek guidance.
Takes ownership of features with appropriate mentorship and support.

AI & Integration Experience (Good to Have)

Exposure to AI/ML concepts or LLM APIs such as AWS Bedrock, OpenAI, or Anthropic.
Basic Python programming skills.
Understanding of Model Context Protocol (MCP) or similar integration approaches.
Familiarity with API gateway or wrapper patterns.
Interest in prompt engineering and AI tool design.
Awareness of vector databases and Retrieval-Augmented Generation (RAG) concepts.

Additional Information

We are looking for engineers with strong software fundamentals who are excited about AI innovation. You may begin with projects such as building MCP servers for our Policy Manager product and gradually expand into broader AI-driven features as you grow in the role.

AI-specific experience is helpful but not mandatory. We prioritize curiosity, learning agility, and solid engineering principles, empowering you to build impactful solutions in an evolving AI-driven environment.