Lead Python Developer

Remote in Argentina,

Python.Core

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We are seeking a Lead Python Developer to drive technical direction and hands-on development within our pod, focusing on backend AI services, LLM orchestration and agentic experiences. You will write production code, mentor engineers, and collaborate cross-functionally with Security, Data and Infrastructure teams while partnering with US-based product and engineering counterparts. This role blends embedded leadership with deep technical ownership, ensuring observability, reliability and operational excellence across pod services.

Responsibilities

Set technical direction for the pod and own architecture decisions within scope
Write production code (~50%+ of the time) across backend AI services, LLM orchestration and frontend integration
Design and build Agentic Experiences (AX) with streaming, low-latency agent UIs
Mentor 3 Senior Engineers and 1 Data Engineer within the pod
Partner with Security, Data and Infrastructure teams on daily collaboration
Align with US-based product and engineering counterparts
Conduct design reviews and unblock sprint deliverables
Enforce observability, SLOs and reliability standards for pod services

Requirements

5+ years of software engineering experience with a track record of owning complex backend systems end-to-end
1–2+ years on LLM-era AI/ML platforms such as LangChain, LangGraph or Bedrock in a production context; candidates with deeper pre-LLM ML backgrounds (TensorFlow, scikit-learn) who have made a clear and recent pivot to generative AI will also be considered
Expert-level proficiency in Python for backend services and AI integration as the primary language for all backend and AI work
Hands-on expertise in LangChain, LangGraph and LangSmith for orchestrating multi-step, multi-agent workflows and evaluation/observability
Proven background in AWS, Docker and microservices at production scale
Skills in GitHub Actions, ArgoCD and OpenTofu/Terraform
Competency in secure coding practices, auth/authz awareness and data governance as default standards
Expertise in API design including RESTful APIs and microservices
English proficiency at B2 level or higher

Nice to have

Fluency in React and TypeScript with the capability to contribute to UI-layer code and review frontend work
Familiarity with MCP (Model Context Protocol) and emerging agent interoperability standards
Knowledge of AI evaluation tooling such as RAGAS or custom eval frameworks
Background in designing and optimizing RAG pipelines with vector databases (Amazon Kendra, OpenSearch)
Understanding of identity/security domains (IAM, CIAM) and handling unstructured data (images, videos) with prompt context management via LangGraph State