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Software Engineer II - Python​/TypeScript

Job in Boston, Suffolk County, Massachusetts, 02108, USA
Listing for: Ursus
Full Time position
Listed on 2026-07-26
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps
Job Description & How to Apply Below

Software Engineer II - Python/Type Script

We're looking for a Software Development Engineer to help design, build, and scale Bina's agentic AI platform. You'll work at the intersection of generative AI, distributed systems, and compliance automation — building the core primitive that thousands rely on to ship faster and safer.

Workplace Trust is responsible for privacy and AI compliance for all workers. We are building a GenAI model, Bina, that will automatically review and approve applications to launch to the worker population. This role will join the Bina team and help build the model and automation capabilities. Bina is an AI-powered compliance orchestration primitive, enabling applications and data processing activities to be "born compliant."

We integrate with tools like AZA, Q CLI, and Pippin to provide builders with proactive, consolidated compliance guidance across Privacy, AI, Labor & Employment Legal, IXT, and EEO — reducing review cycles and accelerating product launches. Our team sits within Workplace Trust and is building the infrastructure that makes compliance scalable, consistent, and developer-friendly.

Forefront of AI development and learning

Automating and building useful things

Design and implement Bina's serverless backend (API Gateway, Lambda, DynamoDB, S3) on AWS

Build and maintain MCP (Model Context Protocol) servers and tools that power Bina's agentic workflows

Develop integrations with internal platforms (AZA, Q CLI, UBX, Kiro) to meet builders where they are

Implement context management, prompt orchestration, and RAG pipelines using AWS Bedrock

Build extensible frameworks that allow compliance teams to "Bring Your Own Wisdom" via scripted workflows

Implement AuthN/AuthZ flows using Cloud Auth and transitive authentication

Develop feature flagging, prompt versioning, and monitoring systems to ensure reliable, auditable AI behavior

Contribute to hallucination mitigation strategies, confidence scoring, and deterministic guardrails

2+ years of professional software development experience

Proficiency in Python or Type Script

Experience building and operating production services on AWS (Lambda, API Gateway, DynamoDB, S3)

Strong understanding of distributed systems and API design

Bachelor's degree in Computer Science or equivalent experience

Experience with generative AI / LLM application development (prompt engineering, agentic architectures, RAG)

Familiarity with MCP (Model Context Protocol) or similar agent-tool frameworks

Experience with authentication/authorization systems (OAuth, transitive auth)

Understanding of compliance, privacy, or policy automation domains

Track record of building extensible, multi-tenant platforms

Excellent written communication — you can explain complex technical concepts to non-technical stakeholders

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching. IND
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