Project Brief\nWe'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.\nMust-Haves\nStrong Python engineering skills and experience delivering production systems\nHands-on experience building with LLM APIs (OpenAI, Anthropic, etc.) and deploying AI features end-to-end\nExperience with LangChain / LangGraph — including Prompt Engineering, Token Management, and Agent creation with tool-based workflows\nExperience building agentic workflows (tool use, routing, memory, safety/guardrails), ideally with MCP\nSolid understanding of RAG concepts — retrieval, chunking, embeddings, re-ranking, and evaluation\nPractical AWS experience, especially AWS Lambda and serverless architecture patterns\nBackend engineering experience: RESTful API design, webhook integration, JWT, pytest, and observability tools like Sentry\nExperience doing Git repository analysis — understanding large codebases, debugging, refactors, and code health\nComfortable working in fast-moving product environments with high ownership\nNice to Have\nNextJS and TypeScript for frontend components and integration\nAWS CDK for infrastructure-as-code and deployment\nBroader AWS services knowledge: S3, CloudWatch, IAM, API Gateway\nExperience with NoSQL databases\nExperience integrating or serving custom models (inference, model endpoints, monitoring)\nFamiliarity with evaluation frameworks (offline tests, human feedback loops, regression suites)\nStrong software engineering fundamentals: testing, CI/CD, observability, performance\nWhat You Will Do\nPlan and develop applications that include custom AI components — orchestration, evaluation, tooling, and integrations\nBuild intelligent agents using LLMs and the MCP framework to enable context-aware automation and decision-making\nAutomate internal workflows and operational processes using Python and AWS Lambda\nDevelop and improve RAG-based chatbots to increase response accuracy, grounding, and consistency\nCollaborate with Applied Science teams to productionize custom models and connect them with product systems\nDesign and maintain multi-agent AI pipelines, including fallback and graceful degradation strategies for reliability\nWhy You'll Want This Role\n🚀 First engineering hire — Shape the technical foundation of a rapidly growing product. Your decisions set the standard.\n📈 Massive market opportunity — Tech debt affects $3 trillion globally, with 41% created by AI. You'll be building the tools that solve it.\n💡 Real impact — Help companies save millions in development costs through cutting-edge AI/ML solutions.\n🔝 Direct path to technical leadership — This is a ground-floor opportunity with clear growth into a senior or lead engineering role.\nBenefits & Compensation\n💵 $2,000 – $4,500/month — paid in USD, bi-weekly via Deel\n🌎 Fully Remote — work from anywhere in Latin America\n📄 Full-time contract with a U.S. company — 6-month initial term, full-time conversion\n🏖️ Paid PTO — competitive package, grows with tenure\n🤝 Referral Program — earn a bonus for referring talent that gets hired\n📈 Be an early employee at a fast-growing startup with direct path to technical leadership To Apply\nPlease send your resume in English.\nInclude the following\n🔗 LinkedIn Profile URL (required)\n💻 GitHub Portfolio — show us your best work (required)\n🌐 Live Project Examples — applications or tools you've built (encouraged)\n✉️ Cover Letter — tell us why you're excited about this role (optional but encouraged)\nAbout OneSeven Tech\nFounded 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.\nWe work fully remote, move fast with 1-week sprints, and focus on elegant solutions to complex problems.\nSalary: 2000 - 4500 USD Per month
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