Project BriefWe're building AI-powered products, primarily leveraging off-the-shelf LLM APIs, while also partnering with our Applied Science teams to integrate 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.Project BriefWe're building AI-powered products, primarily leveraging off-the-shelf LLM APIs, while also partnering with our Applied Science teams to integrate 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.Must-HavesStrong Python engineering skills and experience delivering production systemsHands-on experience building with LLM APIs (OpenAI, Anthropic, etc.) and deploying AI features end-to-endExperience with LangChain / LangGraph — including Prompt Engineering, Token Management, and Agent creation with tool-based workflowsExperience building agentic workflows (tool use, routing, memory, safety/guardrails), ideally with MCPSolid understanding of RAG concepts — retrieval, chunking, embeddings, re-ranking, and evaluationPractical AWS experience, especially AWS Lambda and serverless architecture patternsBackend engineering experience: RESTful API design, webhook integration, JWT, pytest, and observability tools like SentryExperience doing Git repository analysis — understanding large codebases, debugging, refactors,



and code healthComfortable working in fast-moving product environments with high ownershipNice to HaveNextJS and TypeScript for frontend components and integrationAWS CDK for infrastructure-as-code and deploymentBroader AWS services knowledge: S3, CloudWatch, IAM, API GatewayExperience with NoSQL databasesExperience integrating or serving custom models (inference, model endpoints, monitoring)Familiarity with evaluation frameworks (offline tests, human feedback loops, regression suites)Strong software engineering fundamentals: testing, CI/CD, observability, performanceWhat You Will DoPlan and develop applications that include custom AI components — orchestration, evaluation, tooling, and integrationsBuild intelligent agents using LLMs and the MCP framework to enable context-aware automation and decision-makingAutomate internal workflows and operational processes using Python and AWS LambdaDevelop and improve RAG-based chatbots to increase response accuracy, grounding, and consistencyCollaborate with Applied Science teams to productionize custom models and connect them with product systemsDesign and maintain multi-agent AI pipelines, including fallback and graceful degradation strategies for reliabilityWhy You'll Want This Role? First engineering hire — Shape the technical foundation of a rapidly growing product.
Your decisions set the standard.




Massive market opportunity — Tech debt affects $3 trillion globally, with 41% created by AI.
You'll be building the tools that solve it.
Real impact — Help companies save millions in development costs through cutting-edge AI/ML solutions.
Direct path to technical leadership — This is a ground-floor opportunity with clear growth into a senior or lead engineering role.Benefits & Compensation $2,000 – $4,500/month — paid in USD, bi-weekly via Deel Fully Remote — work from anywhere in Latin America Full-time contract with a U.S. company — 6-month initial term, full-time conversion ️ Paid PTO — competitive package, grows with tenure? Referral Program — earn a bonus for referring talent that gets hired Be an early employee at a fast-growing startup with direct path to technical leadershipTo ApplyPlease send your resume in English.Include The Following LinkedIn Profile URL (required) GitHub Portfolio — show us your best work (required) Live Project Examples — applications or tools you've built (encouraged)✉️ Cover Letter — tell us why you're excited about this role (optional but encouraged)About OneSeven TechFounded by James Sullivan, OneSeven Tech is a premier digital product agency serving startups and enterprises.
Our clients have collectively raised over $100M in VC, and our enterprise partners include 2,000+ person hospitality groups and NASDAQ-listed companies.We work fully remote, move fast with 1-week sprints, and focus on elegant solutions to complex problems.
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📌 Remote Ai/Llm Engineer - Build Production Ai Pipelines (Mendoza)
🏢 OneSeven Tech (OST)
📍 Mendoza