Ai/Ml Engineer

DetailsAs an AI-First AI/ML Engineer, you'll be architecting and deploying intelligent systems that leverage cutting-edge AI technologies including LangChain orchestration, autonomous AI agents, and robust AWS cloud infrastructure.
We are seeking expertise in modern AI/ML frameworks, agentic systems, and scalable backend development using Node.js and Python.
Your AI-powered engineering approach will create sophisticated machine learning solutions that drive autonomous decision-making and solve complex business challenges at enterprise scale.About YouYou are an AI/ML specialist who has fully embraced AI-first development methodologies, using advanced AI tools (e.g., Copilot, ChatGPT, Claude, CodeLlama) to accelerate your machine learning workflows.
You're equally comfortable building LangChain orchestration pipelines, deploying Hugging Face models, developing autonomous AI agents, and architecting scalable AWS backend systems using Node.js and Python.
You move FAST - capable of shipping complete, production-ready features within 1 week cycles.
You are a proactive person and a go-getter, willing to go the extra mile.
You understand that modern AI engineering means creating intelligent systems that can reason, learn, and act autonomously while maintaining reliability and performance.
You thrive using TDD methods, MLOps practices, and Agile methodologies while focusing on finding elegant solutions to complex AI challenges.This is a hybrid role where you'll be spending your time across 4 core functions:Internal Projects (25%) - Building and maintaining OneSeven's internal AI tools and platformsSales Engineering (25%) - Supporting sales team with technical demos, proof-of-concepts, and client presentationsAI-First Engineering and Innovation Sprints (25%) - Rapid prototyping and innovation on cutting-edge AI technologiesForward Deployed Engineering (25%) - Working directly with clients on-site or embedded in their teams to deliver solutionsQualificationsTechnical RequirementsCore AI/ML Skills4+ years AI/ML development experience with production deploymentsFluent English required - strong written and verbal communication skills for direct client interaction9am-5pm EST availability with reliable workspace/internet - willing to work extra hoursFAST execution mindset - must be able to ship complete features within 1 weekStrong system architecture experience - designing scalable, distributed AI/ML systemsExpert-level LangChain experience for AI orchestration and workflow managementHugging Face experience - transformers, model integration, and deploymentExtensive AI Agent development with LangChain or Google Vertex AIHeavy AWS cloud experience, particularly with Bedrock, SageMaker, and AI/ML servicesBackend generalist comfortable with Node.js and Python for AI service developmentAgile methodologies experience, startup environment passionIndependent problem-solver, team player willing to work extra hoursAI Agent & LangChain Expertise (Required)LangChain framework mastery for complex AI workflow orchestrationHugging Face integration - transformers, model deployment, and API integrationAI Agent architecture design with LangChain or Google Vertex AIPrompt engineering and chain-of-thought optimizationVector databases and embedding systems (Pinecone, Pgvector, Chroma)RAG pipeline development and optimizationLLM integration across multiple providers (OpenAI, Anthropic, AWS Bedrock, Hugging Face)Agentic system design with memory, planning, and execution capabilitiesBackend & Cloud InfrastructureHeavy AWS Cloud services experience (Lambda, API Gateway, S3, RDS, SageMaker, Bedrock)System architecture design for high-scale, distributed AI/ML applicationsMicroservices architecture and design patterns for AI systems at scaleNode.js and Python backend development for AI service APIsRESTful API design and GraphQL for AI service integrationDatabase design and management for AI data workflowsModern JavaScript/TypeScript and Python async programmingMLOps & IntegrationCI/CD pipelines and GitHub Actions for ML model deploymentModel versioning, monitoring, and automated retraining workflowsContainer orchestration (Docker, Kubernetes) for AI servicesPerformance optimization for high-throughput AI systemsModern authentication and secure API design for AI endpointsAPI security implementation (XSS, CSRF protection)Bonus QualificationsAdvanced Hugging Face experience (fine-tuning, custom models, optimization)Multi-modal AI experience (vision, audio, text processing)Advanced prompt engineering and fine-tuning experienceDevOps and infrastructure as code (Terraform, CloudFormation)Database optimization for vector search and AI workloadsAdditional cloud platforms (Azure AI, Google Vertex AI)Knowledge graph integration and semantic reasoningProject DeliverablesYou'll be working on building a comprehensive AI-powered business intelligence system with autonomous agent capabilities.
Key deliverables include:Core AI Agent PlatformMulti-agent orchestration system with LangChain workflow managementAutonomous reasoning agents with tool integration and decision-making capabilitiesIntelligent document processing pipeline with advanced OCR and classificationReal-time AI analysis dashboard with predictive insights and recommendationsAdvanced AI WorkflowsRAG-powered knowledge synthesis with multi-source data integrationAutomated business process agents with approval workflows and notificationsAI-driven anomaly detection with proactive alerting and response systemsIntelligent API orchestration with dynamic routing and load balancingComprehensive agent performance monitoring with usage analytics and optimization insightsIntegration & Deployment SystemsScalable AWS backend infrastructure with auto-scaling AI servicesProduction MLOps pipeline with automated model deployment and monitoringMulti-tenant AI service architecture with usage tracking and billing integrationReal-time AI API gateway with rate limiting and authenticationBenefits/CompensationFully Remote, Contract-based with U.S. company$4,000/mo - $8,000/mo depending on experience and project durationCompany-paid PTO plan, 9am-5pm EST, international team of 15+To ApplySEND YOUR RESUME IN ENGLISH, please.Include the URL of your LinkedIn profile.Include Website references, GitHub repositories, and any other online references that would highlight your prior work for the qualifications described in this role.
? AUTOMATIC DISQUALIFICATION: You will be automatically disqualified if your resume is not in English or you don't include your LinkedIn profile URL.About OneSeven TechOneSeven Tech is a premier digital product studio serving both high-growth startups and established enterprises.
We've partnered with startup clients who have collectively raised over $100M in Venture Capital, while our enterprise portfolio includes 2000+ person hospitality groups and publicly traded NASDAQ companies.Our passion lies in crafting exceptional AI-powered digital products that drive real business success.
Joining OneSeven means working alongside a skillful team of consultants where you'll sharpen your AI/ML expertise, expand your capabilities, and contribute to cutting-edge solutions for industry-leading clients.OST's headquarters is in Miami, Florida, but our employees work remotely worldwide.
Our 3 main locations are Miami, Mexico City, Mexico, and Buenos Aires, Argentina.
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