[Hiring] AI/ML Engineer @OneSeven Tech

Role Description

We're building out a Model Context Protocol (MCP) infrastructure for a mid-market US software company that's moving fast into agentic AI. This is a new, independent engineering team — separate from existing projects — building from the ground up. Your role has a strong DevOps lean: keeping the MCP infrastructure healthy, observable, and scalable as agents and tools get added. You'll own deployments, pipelines, and production stability. The title is flexible — what matters is the function: someone who can hold the technical ground on infrastructure while the team builds.

Qualifications

• Strong DevOps fundamentals in practice
• Hands-on production experience with LangChain, LangSmith, and/or LangGraph
• LLM infrastructure thinking
• Comfortable working autonomously in a small team without daily hand-holding
• Near-native English

Requirements

• Container orchestration (Docker + ECS/Fargate or equivalent)
• GitHub Actions for CI/CD
• AWS (ECS, RDS, S3, CloudWatch)
• MCP protocol familiarity

Nice to Have

• LangSmith tracing and evaluation features
• Experience collaborating directly with a client-side senior engineer
• Familiarity with observability tooling beyond CloudWatch (Datadog, Grafana, or similar)

What You Will Do

• Monitor, maintain, and optimize the agentic infrastructure running on LangChain / LangSmith / LangGraph
• Manage container-based deployments and ensure stability across environments
• Build and own CI/CD pipelines for agent and model deployments
• Set up and maintain observability — tracing, alerting, and performance dashboards for LLM-based systems
• Support MCP server integration as the client-side team ships new components
• Identify and resolve latency, cost, and reliability issues before they become production incidents
• Work closely with the client's MCP technical lead — small team, no bureaucracy, your infrastructure decisions are immediately visible

Benefits

• $4000 - $5000/month — paid in USD, bi-weekly via Deel
• US Eastern Time hours (EST) — Monday to Friday, 9:00 AM–6:00 PM EST
• Fully Remote — work from anywhere in Latin America
• Long-term contract — starting with a 6-month contract, with potential to extend
• Paid PTO — accrual begins after 3-month trial period
• Referral Program — earn a bonus for referring talent that gets hired

To Apply

Please send your resume in English. Include the following depending on your role:

• LinkedIn Profile URL (required)
• GitHub repository or project examples (required)
• Cover Letter — tell us about an agentic or ML infrastructure project you've maintained or deployed in production, and the hardest infrastructure problem you've had to debug (optional but encouraged)