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Coder

Software development on your infrastructure. Offload your team's development from local workstations to cloud servers.

Senior Software Engineer, AI Solutions

Full-stack EngineerSoftware EngineerOtherRemoteSeniorTeam 11-50H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

132 days ago

Salary

$165K - $249K / year

Seniority

Senior

Job Description

Senior Software Engineer, AI Solutions

Coder

• 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

Job Requirements

  • 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 data processing
  • Hands-on experience with LLM tool calling/agents (custom frameworks, LangChain, or equivalent)
  • Practical RAG expertise: chunking, metadata schemas, retrieval, relevancy, and evaluation
  • Solid AWS experience: Lambda, S3, IAM, CloudWatch; exposure to Bedrock is a plus
  • Background in data integration/pipelines: consuming APIs and webhooks (Salesforce, Slack, Zendesk, Zapier, etc.)
  • Skill in designing JSON schemas, pre-aggregated summaries, and metadata models for query
  • Familiarity with Salesforce data structures (accounts, opportunities, leads, activities) or willingness to ramp quickly
  • Comfortable working in a partially “vibe‑coded” codebase and refactoring toward higher quality (testing, structure, observability)
  • Experience with prompt engineering and evaluation for business workflows (accuracy, reliability, user trust)

Benefits

  • Offers Equity
  • Offers Bonus

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