AI/ML Engineer – MCP Infrastructure

OneSeven Tech (OST)

. Monitor, maintain, and optimize agentic infrastructure running on LangChain, LangSmith, and LangGraph .

Posted 11/5/2026full-timeRemote • ArgentinaMid-LevelSenior💰 $4,000 - $5,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong DevOps fundamentals with hands-on experience in managing container-based deployments and CI/CD pipelines. Proficient in maintaining observability for LLM infrastructure and collaborating effectively with technical leads and client stakeholders.

Highest-signal resume keywords

DevOps FundamentalsContainer Orchestration: Docker + ECS/FargateGitHub Actions for CI/CDAWS: ECS, RDS, S3, CloudWatchLangChain, LangSmith, LangGraph Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DevOps FundamentalsContainer OrchestrationGitHub ActionsAWSLangChainLangSmithLangGraphMCP Protocol FamiliarityLLM Infrastructure UnderstandingProduction Monitoring

Soft Skills

Autonomous WorkCollaboration

Tools & Technologies

DockerECSFargateDatadogGrafanaCloudWatch

Industry Keywords

Agentic InfrastructureCI/CD PipelinesObservabilityPerformance DashboardsLatency IssuesCost IssuesReliability Issues

Tech Stack

Tools & technologies

AWSDockerGrafana

About the role

Key responsibilities & impact

Monitor, maintain, and optimize agentic infrastructure running on LangChain, LangSmith, and 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, including 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 production incidents
Work closely with the client's MCP technical lead and integrate into the established technical dynamic
Maintain production infrastructure for a Model Context Protocol system used by a mid-market US software company

Requirements

What you’ll need

Strong DevOps fundamentals in practice; ownership of deployments
Container orchestration: Docker + ECS/Fargate or equivalent
GitHub Actions for CI/CD
AWS: ECS, RDS, S3, CloudWatch
MCP protocol familiarity
Hands-on production experience with LangChain, LangSmith, and/or LangGraph
Understanding of LLM infrastructure, including token cost, latency tradeoffs, rate limits, and production monitoring
Comfortable working autonomously in a small team
Near-native English for daily async communication with a US-based technical lead and client stakeholders
LangSmith tracing and evaluation features are nice to have
Experience collaborating directly with a client-side senior engineer is nice to have
Familiarity with Datadog, Grafana, or similar observability tooling is nice to have
Resume in English
LinkedIn Profile URL required
GitHub repository or project examples required

Benefits

Comp & perks

Paid 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