Senior Software Engineer (AI Solutions)

You’ll build the AI behind Animus, our internal agent for revenue and customer intelligence. Your work turns scattered GTM data into clear answers and usable workflows for Sales, Success, Product, and Marketing.

You design, ship, and improve AI workflows on a proven AWS and TypeScript base. You partner with GTM leaders, product, and infra to test, measure, and refine while keeping the system accurate, observable, and cost-aware.

What you’ll do here

- Design and implement AI workflows on top of existing data pipelines (product feedback extraction, customer update generation, onboarding plans, win/loss summaries, CRM enrichment)

- Extend and refine the current TypeScript-based agent: tooling, tool schemas, routing logic, error handling, and observability

- Improve transcript and account matching across Zoom, Granola, and Salesforce using entity resolution, heuristics, and/or LLM-assisted matching

- Integrate new data sources (Slack, Zendesk, Google Drive, Nexus/telemetry, email) into the existing AWS stack

- Define and consume pre-aggregated account/opportunity summaries in S3 for fast, reliable query

- Optimize Lambda-based data processing jobs for cost, reliability, and performance

- Iterate on model strategy: cheap routing (e.g., Claude Haiku) vs. higher-quality response models (e.g., Claude Sonnet/Opus)

- Evaluate prompts, tool selection quality, and response accuracy with clear metrics

- Collaborate with GTM stakeholders (Sales, SE, CS, Product, Marketing) to define, test, and refine AI-assisted workflows

- Partner with infra engineering (Terraform, Kubernetes) to ensure deployment, security, and observability are production-ready

- Contribute to future UI/UX (Slack bot flows, simple web UI/dashboards) to expose workflows to end users

What we’re looking for

- 5+ years in software engineering, including 1-2+ years building LLM-based applications or agents

- Strong experience in TypeScript/Node.js (ideal) or Python for backend and da...