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Remote Lead Python Software Engineer (AI Agent) - LATAM

Rad Hires · Peru · Remote

About the job

tl;dr: a high-impact opportunity for a strong software engineer aspiring to build the next generation of AI Agents for inbound sales.The JobWe are looking for a growth-oriented, positive-minded, talented, and motivated software engineer to join our team as the lead Software Engineer for our AI Agents for inbound sales. You will be based in New York (or remote) and report directly to the company’s co-founder and CTO.Joining us at this stage means you will have a significant influence over the technical and cultural evolution of the company. You are signing up for a fast-paced working environment with a high bar for quality, and the opportunity to solve complex problems with high-impact results.This is a great fit if you hope to start your own company one day, or if you're driven by tackling and solving hard technical challenges and the cutting edge of agentic technology.What You’re Signing Up ForAI Agent Development

  • Design and develop advanced AI Agents designed to exceed human performance
  • Enhance the capabilities and usability of our AI Agent framework, with a focus on scalability, ease of configuration, and control
  • Build AI Agents with the ability to write or extend AI frameworks where necessary, rather than relying on existing, new AI agent frameworks
  • Lead the expansion of our roster of off-the-shelf AI Agents and AI Agent capabilities to enable rapid deployment and scaling
  • Collaborate closely with product, sales, and customer success teams to deliver AI Agent improvements
  • Design and build automated analytics to measure outcomes across thousands of AI Agent conversations to quantify performance and opportunities for improvement
Strategy & Culture
  • Act as a thought partner to the founders on technical strategy and team scaling
  • Mentor and guide future engineers, helping them grow and fostering a collaborative team environment
The Outcomes You Will Drive
  • Increase the percentage of leads converted by our AI Agent compared to human sales agents
  • Reduce the time required to configure and launch AI Agent for each client
  • Ensure each client’s AI Agent meets pre-defined business KPIs
You Are
  • A software engineer with minimum five years experience (bonus: Experience in early-stage startups)
  • An expert in building applications using Python (bonus: Familiarity and interest in AI Agent frameworks like Langchain, Autogen, or LlamaIndex)
  • An excellent verbal communicator, who excels at crafting clear prompts (bonus: Experience with prompt engineering)
  • Experienced with ML pipelines (bonus: Experience working with NLP and RAG systems)
  • Able to work with customer requirements and specifications, delivering end-to-end solutions
  • A quick learner with the ability to adopt new frameworks or build custom solutions when necessary
  • A total owner who delivers end-to-end solutions and cracks yet unsolved problems
  • A force of nature, you sprint toward goals and consistently get the job done.
  • You ship rapidly, iterating quickly to drive progress
  • Focused on efficiency, you know how to achieve 80% of the value with 20% of the effort
  • Hands-on, action-oriented, and thriving in the build, measure, learn, and repeat cycle.
  • Highly collaborative, with clear, honest, and open communication skills
  • A fast and eager learner with a growth mindset, you see feedback as a gift
  • Comfortable navigating ambiguity and thriving in uncertain environments
About Our ClientOur client builds inbound sales AI agents that can actually hold an in-depth sales conversation with a humans. Their flagship agent exceeds human sales agent performance. Inbound growth teams worldwide rely on it to engage leads, qualify them, and either close them or pass them on to sales for closing.The company was founded and is led by Harvard Business School graduates and Financial Institution + AI experts. The team includes AI researchers and engineers with experience at C3 AI, DataRobot, IBM, SAP, and Columbia.Our Tech Stack
  • Languages: Python, TypeScript
  • Frameworks: React
  • Databases: PostgreSQL, Redis, S3, GCS
  • Cloud Providers and Infrastructure: AWS, GCP, Azure, Vercel
  • Dev Tools: Github, Docker, Kubernetes, Terraform
  • APIs & Middleware: FastAPI
  • Inference Servers: vLLM, triton
  • Authentication & Authorization: Auth0
  • Monitoring & Logging: Prometheus, Grafana
  • CI/CD: Github Actions
  • Collaboration: Slack, Notion, Attio