Sr Software Engineer

Role Overview

Senior Software Engineer in Effectual’s Office of the CTO, reporting to the CTO & Chief AI Officer. You’ll bring AI/agentic ideas to production on AWS—integrating LLMs and agents with enterprise APIs and internal/customer platforms.

Responsibilities

• Build agentic services in Python using LangGraph and LangChain with modern frontier LLMs (e.g., Anthropic, OpenAI).
• Integrate with enterprise platforms/APIs and developer/data systems to automate workflows and enrich context.
• Design, develop, and deploy web apps using TypeScript, React, and Tailwind CSS.
• Create data and retrieval patterns (e.g., PostgreSQL, DynamoDB, RAG) including evaluation and guardrails.
• Build backends in Python using FastAPI.
• Contribute to CI/CD, collaborate on infrastructure automation (Terraform preferred), and instrument services with tests, monitoring, and safe rollback.
• Work in an end-to-end flow from discovery/use-case identification through experimentation to production deployments.

Requirements

• 7+ years building production applications from design through release and iteration.
• Strong hands-on LLM integration (tool use/function calling, retrieval, evaluations, safety/guardrails, tracing/observability).
• Strong Python (APIs, async/concurrency, packaging, testing).
• Solid TypeScript and React experience.
• Comfortable with databases and pipelines (notably PostgreSQL and/or DynamoDB; log/event pipelines).
• Experience with AWS (compute, messaging/queueing, storage, CI/CD, observability, basic IAM).
• Practical use of AI dev tools (e.g., Claude Code, ChatGPT, GitHub Copilot, Cursor, etc.).
• Excellent collaboration across product, sales, solution architecture, delivery, and operations.

Nice to Have

• LangGraph/LangChain and multiagent patterns.
• Terraform and maintaining CI/CD pipelines.
• UI/UX instincts for operator workflows.
• LLM evaluation and guardrails tooling (e.g., harnesses, red teaming, content filters).
• Experience in enterprise-scale or public sector environments.