Full-Stack AI Engineer

Ovii's Interpretation of the Role

We need a Full‑Stack AI Engineer to design, build and operate AI‑driven web applications. The role spans front‑end UI work, back‑end services, model integration, data pipelines and cloud MLOps, delivering production‑ready AI features for a US‑based client.

Role Snapshot

• Full‑stack development
• AI/ML model integration
• Cloud‑native deployment
• Data pipeline engineering
• Production monitoring & optimization

Must-Have Requirements

• Python
• JavaScript/TypeScript
• React/Next.js/Vue
• AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain)
• SQL
• Cloud data warehouses (Snowflake, BigQuery, Redshift)
• Docker
• CI/CD workflows
• AWS/GCP/Azure
• software engineering with AI/ML exposure

Nice-to-Have Signals

• Embeddings & vector databases (Pinecone, Weaviate, Chroma, FAISS)
• Retrieval‑augmented generation (RAG) pipelines
• LLM fine‑tuning, evaluation, prompt optimization
• MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker, Weights & Biases)
• Serverless architectures
• SaaS product experience
• REST APIs
• Microservices
• Distributed systems
• building AI‑powered SaaS applications
• embeddings & vector DBs
• MLOps

Work Setup

• Location: Portugal
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: Portugal
• Timezone: U.S. client business hours
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Application Requirements

• Coding test mentioned
• Assessment mentioned

Not Specified in JD

• Visa sponsorship
• Salary range
• Relocation
• Security clearance
• Travel
• Shift
• Notice period

What You'll Likely Work On

• Integrate and serve pre‑trained or fine‑tuned LLMs via FastAPI/Flask/Node.js
• Build responsive front‑end interfaces with React, Next.js or Vue
• Design and maintain scalable back‑end services and AI inference APIs
• Create ETL/ELT pipelines and orchestrate data workflows with Airflow, Prefect or Dagster
• Containerize AI services, manage Kubernetes deployments and CI/CD pipelines
• Monitor model performance, latency, cost and drift using MLflow, Weights & Biases or Prometheus
• Implement security, authentication and compliance (GDPR, HIPAA, SOC 2)
• Collaborate with product, design and data‑science teams to turn prototypes into production‑grade features

Good Fit If You Have

• Enjoys moving quickly from prototype to production
• Strong debugging and performance‑optimization mindset
• Effective communicator across technical and non‑technical stakeholders