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Role Description

Effectual’s Office of the CTO sets the company’s technical strategy and delivers the innovation that makes it real. As a Senior Software Engineer, you will bring ideas to production on AWS, including integrating LLMs and agents with various platforms and enterprise APIs.

• Build agentic services in Python using frameworks like LangGraph and LangChain, leveraging the latest frontier LLMs from Anthropic, OpenAI, and others.
• Integrate with enterprise platforms, APIs, and developer/data systems to automate workflows and enrich context.
• Design, develop, and deploy web apps, generally leveraging Typescript, React, and Tailwind CSS.
• Design data and retrieval patterns (PostgreSQL, DynamoDB, RAG), as well as evaluation and guardrails.
• Build backends in Python using libraries like FastAPI.
• Contribute to CI/CD, collaborate with platform and DevOps engineers to codify infrastructure (Terraform preferred), and instrument services (tests, monitoring, safe rollback).

Qualifications

• 7+ years building production applications from design through release and iteration.
• Hands-on LLM integration (tool use/function calling, retrieval, evaluations, safety/guardrails, tracing/observability).
• Strong Python (APIs, async/concurrency, packaging, testing), and TypeScript with React skills.
• Comfortable with databases (PostgreSQL and/or DynamoDB preferred) and log/event pipelines.
• Experience with a hyperscale cloud platform (AWS preferred): compute, messaging/queueing, storage, CI/CD, observability, IAM basics.
• Practical use of AI dev tools (Claude Code, ChatGPT, GitHub Copilot, Cursor, etc.) to accelerate delivery.
• Excellent collaboration and communication; able to partner with internal stakeholders and (when needed) customers.

Requirements

• LangGraph/LangChain (others welcome) and multiagent patterns.
• Terraform; maintaining CI/CD pipelines.
• UI/UX instincts for operator workflows.
• LLM evaluation and guardrails (harnesses, red teaming, content filters).
• Experience delivering in enterprise scale or public sector environments, including regulated/compliance contexts.
• AWS Bedrock model fine-tuning and/or SageMaker experience; vector stores (OpenSearch, pgvector); prompt caching.
• Docker or other containerization technologies.
• Business process automation/analysis; consulting/stakeholder management.

Benefits

• Medical, dental, and vision health insurances
• Short term disability, long term disability and life insurances
• 401k with Company match
• Paid time off (PTO) (120 hours PTO that accrue over one year)
• Paid time off for major holidays (14 days per year)