Senior Full-Stack Engineer (Agentic AI Systems)

We are looking for a Senior Full-Stack Engineer who is highly technical, product-focused, and comfortable navigating architectural ambiguity. You will be responsible for building the user-facing digital application, engineering the integration interfaces, and developing the multi-agent orchestration layers. Working alongside our Senior Platform Engineers, you will translate advanced data science pipelines and machine learning guardrails into highly responsive, enterprise-grade digital experiences.

• Develop Scoped AI Microservices: Build and maintain the specialized backend logic for purpose-built agents (e.g., coverage explanation, policy comparison, and claims status workflows).
• Orchestrate Agent Workflows: Engineer the mediating Agent Advisor Layer that brokers user intents, manages multi-agent workflows, and handles state synchronization using frameworks like LangGraph, AutoGen, or AWS Step Functions.
• Governed API Integration: Develop secure microservices and API abstractions to bridge the gap between the AWS agentic layer and the carrier's legacy systems of record (CRM, Billing, Claims) without unmediated exposure.

• Build Next-Generation UIs: Develop highly responsive, accessible web interfaces optimized for token-by-token text generation and interactive decision-support widgets.
• Optimize Streaming Protocols: Implement Server-Sent Events (SSE) or WebSockets to sustain conversational streams under highly variable latency budgets.
• Human-in-the-Loop Integration: Build operational dashboards and user routing flows that seamlessly elevate complex or unauthorized agent decisions to human advisors.

• Implement Platform Guardrails: Programmatically enforce real-time input/output validation, PII filtering, and content boundaries directly within the application layer.
• Trace System Reasoning: Integrate distributed tracing and custom application-level metrics into the codebase to reconstruct an agent's reasoning path (tools called, data fetched) for regulatory compliance.
• Secure Machine Identities: Write application logic that respects short-lived, scoped credentials and distinct machine identities for agent-to-tool communications.

• Automate Prompt & Code Testing: Partner with platform teams to design automated evaluation suites within Bitbucket Pipelines that test agent behavior alongside standard unit/integration tests.
• Maintain Environment Parity: Ensure clean configuration separation and application stability across Dev, Test, Staging, and Production tiers.

• Programming Languages: Deep proficiency in Python (FastAPI, Flask) for AI-orchestration and Java or Node.js for enterprise microservices stack alignment.
• Frontend Stack: Modern Java frameworks (React.js, Next.js, or Angular) optimized for state management and high-performance rendering.
• AI & Orchestration Frameworks: Experience with LangChain, LangGraph, AutoGen, or native cloud services like AWS Bedrock Agents and AWS Step Functions.
• Databases & Vector Engines: Hands-on experience with SQL/NoSQL databases (PostgreSQL, DynamoDB) and familiarity with Vector Datasets (OpenSearch, pgvector, Pinecone).
• Cloud & Operations (AWS): Comfortable deploying applications inside AWS ecosystems (ECS, EKS, Lambda, API Gateway).
• Tools & Utilities: Bitbucket/Git for version control and CI/CD pipeline integration; Jira and Confluence for workflow tracking.

• Experience: 8-12 years of full-stack software development experience within fast-paced enterprise environments, digital product labs, or tech consulting firms.
• Domain Exposure: Prior engineering experience in FinTech, InsurTech, HealthTech, or highly regulated industries where data security and compliance are paramount is highly advantageous.
• Mindset: Strong architectural curiosity, excellent cross-functional collaboration habits (working with data scientists and devops), and the ability to solve open-ended business problems.