AI/ML Engineer Lisboa

AI/ML Engineer
Lisboa
Lisboa, Lisboa, Portugal

Details

As an AI-First AI/ML Engineer, you'll be architecting and deploying intelligent systems that leverage
- edge AI technologies including Lang
Chain 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
- making and solve complex business challenges at enterprise scale.

About You

You are an AI/ML specialist who has fully embraced AI-first development methodologies, using advanced AI tools (e. g. , Copilot, Chat
GPT, Claude, Code
Llama) to accelerate your machine learning workflows. You're equally comfortable building Lang
Chain 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,
- ready features within 1 week cycles. You are a proactive person and a
- 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 One
  Seven's internal AI tools and platforms
• Sales Engineering (25%) - Supporting sales team with technical demos,
  -
  - concepts, and client presentations
• AI-First Engineering and Innovation Sprints (25%) - Rapid prototyping and innovation on
  - edge AI technologies
• Forward Deployed Engineering (25%) - Working directly with clients
  - site or embedded in their teams to deliver solutions
  
  

Qualifications

Technical Requirements

Core AI/ML Skills

• 4+ years AI/ML development experience with production deployments
• Fluent English required - strong written and verbal communication skills for direct client interaction
• 9am-5pm EST availability with reliable workspace/internet - willing to work extra hours
• FAST execution mindset - must be able to ship complete features within 1 week
• Strong system architecture experience - designing scalable, distributed AI/ML systems
• Expert-level Lang
  Chain experience for AI orchestration and workflow management
• Hugging Face experience - transformers, model integration, and deployment
• Extensive AI Agent development with Lang
  Chain or Google Vertex AI
• Heavy AWS cloud experience, particularly with Bedrock, Sage
  Maker, and AI/ML services
• Backend generalist comfortable with Node. js and Python for AI service development
• Agile methodologies experience, startup environment passion
• Independent
  - solver, team player willing to work extra hours
  
  

AI Agent & Lang
Chain Expertise (Required)

• Lang
  Chain framework mastery for complex AI workflow orchestration
• Hugging Face integration - transformers, model deployment, and API integration
• AI Agent architecture design with Lang
  Chain or Google Vertex AI
• Prompt engineering and
  -
  - thought optimization
• Vector databases and embedding systems (Pinecone, Pgvector, Chroma)
• RAG pipeline development and optimization
• LLM integration across multiple providers (Open
  AI, Anthropic, AWS Bedrock, Hugging Face)
• Agentic system design with memory, planning, and execution capabilities
  
  

Backend & Cloud Infrastructure

• Heavy AWS Cloud services experience (Lambda, API Gateway, S3, RDS, Sage
  Maker, Bedrock)
• System architecture design for
  - scale, distributed AI/ML applications
• Microservices architecture and design patterns for AI systems at scale
• Node. js and Python backend development for AI service APIs
• RESTful API design and Graph
  QL for AI service integration
• Database design and management for AI data workflows
• Modern Java
  Script/Type
  Script and Python async programming
  
  

MLOps & Integration

• CI/CD pipelines and Git
  Hub Actions for ML model deployment
• Model versioning, monitoring, and automated retraining workflows
• Container orchestration (Docker, Kubernetes) for AI services
• Performance optimization for
  - throughput AI systems
• Modern authentication and secure API design for AI endpoints
• API security implementation (XSS, CSRF protection)
  
  

Bonus Qualifications

• Advanced Hugging Face experience (fine-tuning, custom models, optimization)
• Multi-modal AI experience (vision, audio, text processing)
• Advanced prompt engineering and
  - tuning experience
• Dev
  Ops and infrastructure as code (Terraform, Cloud
  Formation)
• Database optimization for vector search and AI workloads
• Additional cloud platforms (Azure AI, Google Vertex AI)
• Knowledge graph integration and semantic reasoning
  
  

Project Deliverables

You'll be working on building a comprehensive AI-powered business intelligence system with autonomous agent capabilities. Key deliverables include:

Core AI Agent Platform

• Multi-agent orchestration system with Lang
  Chain workflow management
• Autonomous reasoning agents with tool integration and
  - making capabilities
• Intelligent document processing pipeline with advanced OCR and classification
• Real-time AI analysis dashboard with predictive insights and recommendations
  
  

Advanced AI Workflows

• RAG-powered knowledge synthesis with
  - source data integration
• Automated business process agents with approval workflows and notifications
• AI-driven anomaly detection with proactive alerting and response systems
• Intelligent API orchestration with dynamic routing and load balancing
• Comprehensive agent performance monitoring with usage analytics and optimization insights
  
  

Integration & Deployment Systems

• Scalable AWS backend infrastructure with
  - scaling AI services
• Production MLOps pipeline with automated model deployment and monitoring
• Multi-tenant AI service architecture with usage tracking and billing integration
• Real-time AI API gateway with rate limiting and authentication
  
  

Benefits/Compensation

• Fully Remote, Contract-based with U. S.company
• $4, 000/mo - $8, 000/mo depending on experience and project duration
• Company-paid PTO plan, 9am-5pm EST, international team of 15+
  
  

To Apply

• SEND YOUR RESUME IN ENGLISH, please.
• Include the URL of your Linked
  In profile.
• Include Website references, Git
  Hub 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 Linked
In profile URL.

About One
Seven Tech

One
Seven Tech is a premier digital product studio serving both
- 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 One
Seven means working alongside a skillful team of consultants where you'll sharpen your AI/ML expertise, expand your capabilities, and contribute to
- edge solutions for
- 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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