AI & Backend Engineer — Agentic Systems AR

Description

Summary: Seeking an AI & Backend Engineer to build AI-powered product capabilities and supporting backend systems, focusing on agentic systems for production use. Highlights: 1. Build AI agents and multi-step agentic workflows using LLMs 2. Develop production systems using Python, TypeScript, PostgreSQL, and GCP/AWS 3. Real ownership over agentic systems that ship into production **AI \& Backend Engineer — Agentic Systems** **Location:** Remote **Type:** Contract / Full\-time **Experience:** 4\+ years software engineering experience **About the Role** We're a remote\-first, US\-based technology company looking for a hands\-on **AI \& Backend Engineer** to build AI\-powered product capabilities and the backend systems that support them. You'll work directly with the founding technical team, with real ownership over where agents replace manual work entirely and where they augment it. If you want to build agentic systems that ship into production and get used immediately — not a lab project, not a demo — this is that role. We are. This is not a traditional backend role with AI added on. You’ll build **AI agents and agentic workflows**, integrate LLMs with application data and external services, and develop production systems using **Python, TypeScript, PostgreSQL, and GCP/AWS**. We’re looking for someone who can move quickly from product requirements to working, production\-ready solutions. **Responsibilities** * Build **AI agents and multi\-step agentic workflows** using LLMs, tool/function calling, structured outputs, retrieval, and context management. * Develop backend services and APIs using **Python and TypeScript**. * Design and maintain **PostgreSQL** based schemas, queries, authentication, RLS, and data access. * Integrate AI agents with internal data, APIs, and third\-party services. * Build reliable AI workflows with validation, retries, guardrails, observability, and appropriate human\-in\-the\-loop controls. * Deploy and operate services on **GCP/AWS**. * Debug and optimize systems for reliability, performance, latency, and cost. * Collaborate closely with product and engineering to turn ideas into working solutions. **Requirements** * Strong professional experience with **Python** and working knowledge of **TypeScript/Node.js**. * Hands\-on experience building production applications with **LLMs and generative AI APIs**. * Experience building **agentic systems**, not just basic chatbot or prompt/response applications. * Experience with frameworks/SDKs such as **LangGraph, Google ADK, OpenAI Agents SDK, AWS Strands**, or similar. * Strong experience with **PostgreSQL**. * Experience designing REST APIs and integrating third\-party services. * Understanding of authentication, authorization, OAuth2, JWT, RBAC, and API security. * Experience deploying cloud applications, preferably on **GCP**. * Strong problem\-solving skills and ability to work independently. **Bonus Points** * GCP services such as Cloud Run, Pub/Sub, Cloud Functions, and Secret Manager * RAG, embeddings, pgvector, and semantic search * MCP and agent tool integrations * Docker and CI/CD * Event\-driven architectures and background jobs * AI evaluation, observability, and cost optimization **What We're Looking For** We want an engineer who understands that building production AI is more than calling an LLM API. You should be comfortable deciding **when to use an agent vs. deterministic workflow, how agents safely access tools and data, and how to evaluate and improve AI reliability in production.** **Education:** Bachelor's degree in Computer Science or related field, or equivalent practical experience. Sueldo: $1\.311,05 \- $3\.374,67 al mes Pregunta(s) de postulación: * Have you shipped a production LLM agent system (not a demo)? Briefly describe it and the framework used. * Which have you used in production: LangGraph, Google ADK, OpenAI Agents SDK, AWS Strands, or a custom framework? * What is your desired compensation, in USD per month? Lugar de trabajo: Empleo remoto