
51 - 200 employees
Founded 2021
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
TechTorch is an AI-native B2B company that provides revenue operations and digital transformation solutions for enterprises and private-equity–backed portfolio companies. Their Beacon platform and AI agents automate quote-to-cash, CRM modernization (Salesforce, HubSpot, Dynamics), CPQ, data integration, analytics, billing/subscriptions, and other revenue workflows to accelerate growth, reduce errors, and deliver rapid, measurable value.
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51 - 200 employees
Founded 2021
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
TechTorch is an AI-native B2B company that provides revenue operations and digital transformation solutions for enterprises and private-equity–backed portfolio companies. Their Beacon platform and AI agents automate quote-to-cash, CRM modernization (Salesforce, HubSpot, Dynamics), CPQ, data integration, analytics, billing/subscriptions, and other revenue workflows to accelerate growth, reduce errors, and deliver rapid, measurable value.
• Design and implement multi-step AI agents and orchestration workflows in Python • Build using LangGraph, LangChain, n8n, AWS Bedrock, and similar tools • Integrate and evaluate models including Gemini, GPT, and Claude • Connect agents to APIs, SaaS applications, webhooks, queues, and events • Implement memory, retrieval, and planning for reliable agent behavior • Take prototypes to production using CI/CD, containers, and cloud deployment • Build internal SDKs and reusable agent templates • Implement logging, tracing, guardrails, and evaluation • Work directly with clients to capture requirements, run experiments, and iterate • Apply security, privacy, and safety best practices in deployments
• 3+ years of hands-on experience building and shipping AI agents or complex automations • Strong Python skills, including async, testing, and packaging • Experience with LangGraph or LangChain, plus orchestration tools such as n8n, Bedrock, Airflow, Prefect, or Temporal • Familiarity with OpenAI, Gemini, Claude, or similar model ecosystems • Solid data foundations: embeddings, RAG, chunking, and indexing • Software engineering fundamentals: Git, CI/CD, Docker, and AWS • Bonus: TypeScript, FastAPI, Node.js, Supabase, or observability tools such as Langfuse, W&B, or OpenTelemetry • Proactive, adaptable, and collaborative working style • Clear communication and problem-solving ability
• Remote-first and flexible — we care about results, not hours • Career growth • Certifications • Access to leading AI tech • Exposure to Fortune 500 and private equity clients • Fast recruitment process
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