Freelance Full-Stack AI Engineer (with DevOps)

Location

Engagement

Compensation

Role Split

About

Join our agile team building agentic AI workflows for SMBs and enterprises. You will prototype and deploy end-to-end AI solutions while managing the infrastructure that powers them.

Key Responsibilities

• Build full-stack AI applications with Python backend (FastAPI/Django) and React/Vue frontend
• Integrate LLMs (GPT-4, Claude, Llama) into production workflows with RAG frameworks, including CoT/ToT reasoning frameworks
• Design data pipelines and optimise both SQL/NoSQL databases
• Develop APIs and automation scripts for multi-service orchestration
• Maintain CI/CD pipelines and infrastructure as code for AI deployments
• Monitor performance, manage cloud resources, and ensure security compliance

Required Skills

• 3-5 years full-stack development (Python + JavaScript/TypeScript)
• Frontend: React/Vue/Angular, responsive design
• Backend: RESTful APIs, microservices architecture
• Data: PostgreSQL, MongoDB, ETL pipelines
• AI/ML: LLM integration, prompt engineering, RAG frameworks
• DevOps: Docker, Kubernetes, CI/CD, cloud platforms
• Automation: Logic Apps/Power Automate or similar

Nice to Have

• Vector databases (Pinecone, Weaviate)
• Streaming data (Kafka, Spark)
• Infrastructure as Code (Terraform)
• Monitoring tools (Prometheus, Grafana)

What We Offer

Cutting-edge AI implementation experience across multiple sectors. Flexible, idea-driven, meritocratic environment. Direct knowledge sharing with the founding team.