Project Brief We'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 Brief We'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-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 Lang Chain / Lang Graph — including Prompt Engineering, Token Management, and Agent creation with tool-based workflows Experience building agentic workflows (tool use, routing, memory, safety/guardrails), ideally with MCPSolid understanding of RAG concepts — retrieval, chunking, embeddings, re-ranking, and evaluation Practical AWS experience, especially AWS Lambda and serverless architecture patterns Backend engineering experience: RESTful API design, webhook integration, JWT, pytest, and observability tools like Sentry Experience doing Git repository analysis — understanding large codebases, debugging, refactors,



and code health Comfortable working in fast-moving product environments with high ownership Nice to Have NextJS and Type Script for frontend components and integrationAWS CDK for infrastructure-as-code and deployment Broader AWS services knowledge: S3, Cloud Watch, IAM, API Gateway Experience with NoSQL databases Experience 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, performance What You Will DoPlan and develop applications that include custom AI components — orchestration, evaluation, tooling, and integrations Build intelligent agents using LLMs and the MCP framework to enable context-aware automation and decision-making Automate internal workflows and operational processes using Python and AWS Lambda Develop and improve RAG-based chatbots to increase response accuracy, grounding, and consistency Collaborate with Applied Science teams to productionize custom models and connect them with product systems Design and maintain multi-agent AI pipelines, including fallback and graceful degradation strategies for reliability Why 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 leadership To Apply Please send your resume in English. Include The Following Linked In Profile URL (required) Git Hub 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 One Seven Tech Founded by James Sullivan, One Seven 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