Full-Stack AI Engineer

Ovii's Interpretation of the Role

We are looking for a Full‑Stack AI Engineer to design, build, and scale AI‑powered applications. The role blends backend, frontend, and machine‑learning expertise to turn prototype models into production‑ready services for real business impact.

Role Snapshot

• Full‑stack development
• AI/ML model integration
• API design & implementation
• Frontend UI creation
• Data pipeline engineering
• MLOps & cloud deployment

Must-Have Requirements

• Python
• JavaScript/TypeScript
• React / Next.js / Vue
• PyTorch or TensorFlow
• SQL and cloud data platforms
• API development
• software engineering
• AI/ML

Nice-to-Have Signals

• LLM fine‑tuning, embeddings, RAG
• Vector databases (Pinecone, Weaviate, FAISS)
• MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker)
• Microservices, serverless, distributed systems
• Inference cost and performance optimization
• Docker
• CI/CD pipelines
• Cloud deployments
• AI‑powered SaaS platforms
• LLM fine‑tuning
• MLOps

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States
• Timezone: U.S. Business Hours
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Application Requirements

• Coding test mentioned
• Assessment mentioned

Not Specified in JD

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

What You'll Likely Work On

• Deploy and integrate AI/ML models (OpenAI, Hugging Face, PyTorch, TensorFlow) into production services
• Build scalable backend APIs (FastAPI, Flask, Node.js) and frontend interfaces (React, Next.js, Vue) for AI‑driven features
• Design and maintain data pipelines and preprocessing workflows (Airflow, Prefect, Dagster)
• Containerize AI services, set up CI/CD pipelines, and manage cloud infrastructure (AWS, GCP, Azure, Kubernetes)
• Implement security, compliance (GDPR, HIPAA, SOC 2), monitoring, and observability for production systems
• Collaborate with product and data teams to translate AI prototypes into reliable, user‑friendly products

Good Fit If You Have

• Enjoys moving AI prototypes to production independently
• Thinks critically about scalability, performance, cost, and usability
• Communicates clearly across technical and non‑technical stakeholders