Descripción de la vacante Remoto: Teletrabajo 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 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 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 TypeScript for frontend components and integration
- AWS CDK for infrastructure-as-code and deployment
- Broader AWS services knowledge: S3, CloudWatch, 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 Do

- Plan 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

- 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 Tech

Founded 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.

📌 Remote AI/LLM Engineer - Build Production AI Pipelines (Mendoza)
🏢 OneSeven Tech (OST)
📍 Mendoza