Niuro
Senior AI Engineer (LLMs, Python, AWS)
Contractor role via Niuro for a US tax software company: build and stabilize production LLM/agent systems, integrate AI via REST APIs, and operate the services on AWS/Azure with CI/CD and infrastructure-as-code. Core stack is Python/FastAPI with LLM platforms like OpenAI, Anthropic or Bedrock; 100% remote from Latin America, paid in USD.
- Compensation
- $36K–$42K / yr
- Location
- Santiago
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 5+ years in software or AI engineering
- Strong Python with FastAPI or an equivalent framework
- Production experience with LLM platforms (OpenAI, Anthropic, Amazon Bedrock or Azure OpenAI)
- APIs, microservices, CI/CD and infrastructure as code
- Hands-on experience debugging, stabilizing and scaling AI systems in production
- C1 English, written and spoken
Nice to have
- C# / .NET
- LangGraph, LlamaIndex, LangChain or MCP
- Docker, Kubernetes or ECS; CloudWatch, Prometheus or Grafana
- Embeddings, semantic search and vector databases
Full description
Compensation: $36k – $42k • No equity
At Niuro, we're hiring a Senior AI Engineer for a US tax software company. Full-time contractor role, 100% remote from Latin America, paid in USD.
What you'll do
- Design, build and improve AI systems, including agent-based workflows
- Debug, refactor and stabilize LLM systems already running in production
- Integrate AI capabilities through REST APIs and backend services
- Deploy, monitor and operate AI services on AWS or Azure with CI/CD and infrastructure as code
- Work with engineering, product and leadership to pay down technical debt and explain trade-offs clearly
Must-have
- 5+ years in software or AI engineering
- Strong Python with FastAPI or an equivalent framework
- Production experience with LLM platforms (OpenAI, Anthropic, Amazon Bedrock or Azure OpenAI)
- APIs, microservices, CI/CD and infrastructure as code
- Hands-on experience debugging, stabilizing and scaling AI systems in production
- C1 English, written and spoken
Nice to have
- C# / .NET
- LangGraph, LlamaIndex, LangChain or MCP
- Docker, Kubernetes or ECS; CloudWatch, Prometheus or Grafana
- Embeddings, semantic search and vector databases