Back to SearchSenior Backend Developer (Python and AI)
Remote in Argentina, & 2 others
Python.Core& 8 others
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We are looking for a Senior Backend Developer with Python and AI expertise to build robust AI-powered API services and agentic workflows.
This role focuses on language model interaction with internal systems, vector databases, and external tools via orchestration frameworks, treating LLMs as components in a secure, scalable distributed system. You will own API contracts and service reliability end-to-end, ensuring AI edge cases fail gracefully, while integrating LLMs using rigorous systems engineering with built-in evaluation, observability, fallback handling, and cost awareness.
Responsibilities
- Design and build backend API services and LLM orchestration layers
- Develop reliable, reusable orchestration frameworks and logic for downstream developer consumption
- Implement and maintain complex RAG pipelines, including document ingestion, chunking, embedding, and retrieval optimization
- Build and connect agent tools using LangChain, LangGraph, and potentially MCP (Model Context Protocol)
- Integrate LLMs with rigorous systems engineering, embedding evaluation, observability, fallback handling, and cost awareness
- Ensure security, privacy, enterprise-grade observability, and test coverage for all backend workflows
- Own API contracts and service reliability end-to-end, ensuring AI edge cases fail gracefully
- Contribute to architecture decisions and engineering standards within the pod
- Collaborate with frontend engineers, data engineers, and infrastructure teams
Requirements
- Strong backend engineering experience, focused on microservices and distributed systems
- 3+ years of experience in Python for high-performance backend services and cloud-native APIs
- Expertise in AWS
- Familiarity with Docker and ECS/EKS
- Skills in building RESTful APIs and working with LangChain
- Knowledge of secure coding practices and strong auth/authz fundamentals
- English level of minimum B2 (Upper-Intermediate) for effective communication
Nice to have
- Hands-on experience with AI SDKs (OpenAI, Anthropic/Claude, AWS Bedrock, or equivalent) in production
- Practical experience with vector databases (Amazon Kendra, OpenSearch), embedding strategies, and retrieval systems
- Familiarity with LlamaIndex, LangGraph, or agent interoperability patterns (MCP)
- Background in AI evaluation tooling or real-time APM (LangSmith, Langfuse, Arize)
- Experience with React and TypeScript
- Understanding of identity/security domains (IAM, CIAM), plus deploying to EKS environments at scale
- Flexibility to use secondary languages such as Java, Node.js, or Go