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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

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