freehire launches on Product Hunt on 26 August.

Follow →

Full Stack Engineer (Python, React & AI/ML)

Summary

Build full-stack apps with React and Python, integrate AI/ML features, and deliver end-to-end solutions for client teams using Azure and Azure AI Foundry.

Systems Ltd is looking for a Fullstack Engineer (6+) who can embed directly with client teams and deliver end to end solutions spanning frontend, backend, data, and AI/ML This role sits at the intersection of engineering and client delivery, requiring both strong technical range and the ability to work autonomously in fast moving, ambiguous environments. This is a fully hands on coding role.

Key Responsibilities

  • Work with client teams to understand business problems and translate them into technical solutions
  • Build and ship full stack features covering UI, APIs/services, data pipelines, and AI/ML components as the project demands
  • Rapidly learn and adapt to whatever tech stack the client environment uses
  • Prototype quickly, iterate based on client feedback, and productionize solutions
  • Collaborate with client stakeholders, product managers, and internal engineering teams
  • Troubleshoot and resolve issues across the full stack under production or client pressure
  • Document solutions and enable knowledge transfer to client or internal teams

Required Skills & Experience

  • Proven experience building full stack applications, with React JS preferred for frontend and Python preferred for backend development
  • Solid understanding of data engineering fundamentals including pipelines, databases, and APIs
  • Working knowledge of AI/ML concepts and integrating AI/LLM capabilities into applications
  • Hands on experience with Azure and Azure AI Foundry
  • Demonstrated ability to learn new languages, frameworks, and tools quickly
  • Strong problem-solving skills and comfort with ambiguity
  • Excellent communication skills, with the ability to work directly with clients and stakeholders

Nice to Have

  • Experience with other cloud platforms such as AWS or GCP
  • Exposure to multiple tech stacks across past projects

See also