AI/LLM Engineer — Python, LangChain, RAG, AWS Lambda

OneSeven Tech (OST); Argentina; Presencial; ARS 30.863.258 - 69.442.331; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid PTO

Referral Program

Direct path to technical leadership

Descripción de la vacante

A tech startup is seeking a strong Python engineer to develop AI-powered products. This role involves end-to-end feature development using LLM APIs and various AWS services. The successful candidate will work in a fully remote environment and have the opportunity to shape the technical direction of the company while contributing to impactful AI solutions. Competitive compensation of $2,000 – $4,500 per month, with full benefits and a direct path to technical leadership awaits the right individual.

Formación

• Experience delivering production systems and developing AI features.
• Understanding of tool-based workflows and agentic workflows.
• Familiarity with CI/CD and observability.

Responsabilidades

• Develop AI components and intelligent agents.
• Automate workflows using Python and AWS.
• Collaborate with teams for model productionization.

Conocimientos

Strong Python engineering skills

Hands-on experience with LLM APIs

Experience with LangChain / LangGraph

Solid understanding of RAG concepts

Practical AWS experience

Backend engineering experience

Comfortable in fast-moving environments

Herramientas

AWS Lambda

Git

NoSQL databases

Descripción del empleo

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.