AI/LLM Engineer — Python, LangChain, RAG, AWS Lambda
OneSeven Tech
RemoteRemote OKFull-time$140k – $220k / year
About this role
AI/LLM Engineer — Python, LangChain, RAG, AWS Lambda at OneSeven Tech | Jobs at OneSeven Tech
Location
Remote, Argentina
Salary
4500 - 5500 USD Per month
Job Type
Full-time
Date Posted
March 27th, 2026
AI/LLM Engineer — Python, LangChain, RAG, AWS Lambda at OneSeven Tech
Location
Remote, Argentina
Salary
4500 - 5500 USD
Job Type
Full-time
Date Posted
March 27th, 2026
Project Brief
We're building AI-powered products for a US-based B2B marketing and communications platform, primarily leveraging off-the-shelf LLM APIs while also integrating custom models when needed. You'll own end-to-end development of AI features — from prototyping to production — focused on reliability, accuracy, and scalable delivery. You'll be embedded in an existing cross-functional team that includes a CTO, data scientist, backend and frontend devs, and a PM.
Must-Haves
- Strong Python engineering skills and experience delivering production systems
- Hands-on experience building with LLM APIs (OpenAI, Anthropic, etc.) and deploying AI features end-to-end
- Experience with LangChain / LangGraph — including Prompt Engineering, Token Management, and Agent creation with tool-based workflows
- Experience building agentic workflows (tool use, routing, memory, safety/guardrails), ideally with MCP
- Solid understanding of RAG concepts — retrieval, chunking, embeddings, re-ranking, and evaluation
- Practical AWS experience, especially AWS Lambda, DynamoDB, Bedrock, and serverless architecture patterns
- Backend engineering experience: RESTful API design, webhook integration, JWT, pytest, and observability tools like LangSmith, Langfuse, or Sentry
- Experience doing Git repository analysis — understanding large codebases, debugging, refactors, and code health
- Comfortable working in fast-moving product environments with high ownership
- Available to work US Eastern Time hours
Nice to Have
- NextJS and TypeScript for frontend components and integration
- AWS CDK for infra