Senior AI Platform Engineer
New
Remote-first work model within BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years of software engineering experience, including at least 2+ years building production AI or LLM-powered applications.
- Required Skills
- DockerPostgreSQLPythonKubernetesFastAPIRedisLangChain
Requirements
- 4+ years of software engineering experience, with at least 2+ years building production AI or LLM-powered applications.
- Strong Python expertise with experience building scalable backend systems using FastAPI or similar frameworks.
- Proven experience with agentic frameworks such as LangGraph, LangChain, or custom orchestration solutions.
- Hands-on experience designing and deploying RAG architectures with vector databases (Pinecone, Weaviate, Qdrant, FAISS, or pgvector).
- Strong understanding of prompt engineering, structured outputs, LLM optimization, and Pydantic.
- Solid knowledge of PostgreSQL, Redis, and distributed system design principles.
- Experience building observability, evaluation, and testing frameworks for AI-driven applications.
- Strong API design skills, including WebSockets and system debugging.
Responsibilities
- Design and build advanced agentic AI systems, including multi-agent workflows, orchestration frameworks, and tool-calling infrastructures.
- Develop and optimize RAG pipelines, including embedding strategies, vector databases, hybrid search, and reranking.
- Build robust AI application backends using Python and modern frameworks such as FastAPI.
- Implement structured output systems and validation layers using schema-driven approaches (e.g., Pydantic, JSON Schema).
- Design evaluation, testing, and monitoring systems for AI applications, including benchmarking and regression testing.
- Optimize LLM performance across latency, cost, and quality through prompt engineering and caching strategies.
- Collaborate on production deployment using containerized environments (Docker, Kubernetes).
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