Role Description We’re looking for a Senior Full Stack Developer (Python - React) to join Source Meridian. You are the builder. You work directly alongside the domain experts, co-write the most critical and risk-sensitive modules, build the test infrastructure, and handle the complex backend work that requires deep engineering skill — not just domain knowledge and an AI prompt. You also serve as the second PR reviewer, taking load off the Tech Lead for lower-risk PRs so the review queue doesn't become a bottleneck. What You’ll Do - Co-build the platform scaffold: PostgreSQL schema (core entities, tenant-scoped tables, RLS policies), FastAPI project structure, Entra ID auth integration, Azure Service Bus queue setup. - Implement the TenantScopedModel base class and write the first RLS test battery. - Load and validate the CMS MPFS fee schedule (ETL pipeline from CMS fixed-width files into PostgreSQL). - Set up the local development environment (Docker Compose: PostgreSQL, Redis, Service Bus emulator) and document it. - Repricing engine: Write the Medicare RVU calculation core (hlh-repricing-core package). This is the single most sensitive component in the platform — pure deterministic function, zero external dependencies, unit tests for each of the five calculation steps independently. This is not AI-generated. You write this by hand. - Tenant isolation layer: Implement and test the dual-control pattern (application-layer TenantScopedModel + PostgreSQL RLS with set_config on connection checkout/checkin). Write the cross-tenant test battery that runs in CI on every PR. - State machine transitions: Implement the custom state machine (14 states, WorkflowTask table, SLA polling job). - Service Bus workers: Build the worker infrastructure (OCR jobs, packet generation, sync adapters). Ensure idempotency, dead-letter handling, and forward-compatible message schemas for rolling deployments. - PHI automated controls: Implement the CI/CD PHI pattern scanner, the runtime outbound payload filter for LLM API calls, and the continuous log monitoring queries. - Review PRs that the Tech Lead delegates: UI components, Service Bus worker handlers, non-financial data pipeline code, Dynamics sync adapters. - You review for: module boundary compliance, idempotency, error handling, and test coverage. The Tech Lead retains final authority on financial logic and tenant isolation PRs. Qualifications - Python 3.12+ / FastAPI - PostgreSQL — advanced. RLS policies, SQLAlchemy 2.0 async, Alembic migrations, JSONB with GIN indexing, connection pool lifecycle management. - Azure Service Bus — message handling, dead-letter queues, retry with exponential backoff, idempotent consumer patterns. - Test-driven development - Azure — Container Apps, Blob Storage (pre-signed URLs, lifecycle policies), Key Vault, Application Insights structured logging. - React — solid working knowledge. - AI-assisted code review. - CI/CD pipeline engineering — Azure DevOps Pipelines. - English B2+ - C1 Requirements - Healthcare domain experience or HIPAA-regulated environment experience. - Anthropic Claude API integration (structured JSON extraction, prompt engineering for schema-conformant output). - Azure Form Recognizer / Document Intelligence experience. - Experience with financial calculation engines (fee schedules, pricing models, audit trail requirements). Soft Skills - Proven client-facing experience. - Excellent communication skills. - Strong expectation management abilities. - Strategic mindset with a solution-oriented approach and strong decision-making skills. Benefits - Permanent contract - Learning and continuous growth environment - Benefits package focused on health and well-being - Competitive salary based on experience Company Description At Source Meridian, you’ll be part of a high-impact tech-health company, building products that truly make a difference. 📍 Apply only if you reside in Colombia or Ecuador. If you meet the profile — or know someone who might be interested — apply now! We’d love to meet you 💬

• Design and develop software applications that address client problems while balancing technical feasibility and business requirements • Contribute expertise throughout the client journey - from initial scoping and estimation through development and knowledge transfer • Partner with clients to identify high-impact and pragmatic opportunities where AI can solve business challenges and deliver measurable outcomes • Communicate technical capabilities in clear, business-focused language that resonates with clients and builds TXI's credibility as an AI innovation partner • Develop proof-of-concept prototypes and demos that showcase AI possibilities and help clients envision transformative solutions • Ensure AI solutions adhere to responsible AI, including considerations for security, ethics, privacy, bias, and transparency • Continuously evaluate emerging AI technologies, capabilities, and limitations to identify new client opportunities and enhance TXI's AI service offerings • Equip the demand team with the tools, insights, and technical validation they need to discuss AI solutions with clients confidently • Upskill client teams and other TXIers to promote a culture of continuous improvement

• Architectural Rigor: Lead the effort to 'unblur' the lines between frontend and backend in our Next.js applications, ensuring scalability and a clean separation of concerns. • Technical Modernization: Act as the technical driver for migrating legacy systems (Flask/jQuery) into a modern, robust stack (Next.js/Node/TypeScript). • AI Productization: Design and implement RAG (Retrieval-Augmented Generation) architectures and AI agent workflows to optimize medical and legal processes. • Data layer Ownership: Lead the optimization of complex PostgreSQL/MySQL queries and ensure our infrastructure scales to handle massive growth in clinical and financial records. • Lead by Velocity: Set the 'gold standard' for the team by using AI-assisted development tools (Cursor, Copilot, LLMs) to drive unprecedented delivery speed without compromising quality.

• Design and implement automated, reusable training pipelines to ensure consistent, scalable model delivery across the partner portfolio • Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models • Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment • Monitor production systems for latency, drift, and training-serving skew, optimising continuously to maintain model integrity • Run champion-challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditions • Partner with data scientists, engineers, and product stakeholders to translate business needs into well-scoped technical solutions