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Senior AI Product Engineer

Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.

The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.

This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.

The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments.


Requirements


AI Platform Engineering

  • Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions
  • Build modular and reusable AI services and APIs
  • Develop AI-powered workflow automation systems and intelligent orchestration pipelines
  • Design and implement scalable backend architectures supporting AI workloads

Agentic AI Development

  • Build autonomous and semi-autonomous AI agents
  • Develop multi-agent orchestration workflows and task delegation systems
  • Implement memory management and contextual reasoning capabilities
  • Integrate AI systems with external tools, APIs, and enterprise applications

Large Language Model Integration

  • Integrate and optimise large language model services including Claude, OpenAI, and open-source models
  • Develop prompt orchestration pipelines and retrieval-augmented generation architectures
  • Implement vector database integration and semantic search capabilities
  • Optimise model performance, response quality, and operational efficiency

Enterprise System Integration

  • Integrate AI platforms with enterprise systems, collaboration tools, and document repositories
  • Develop secure API integration patterns
  • Support authentication and identity integration requirements
  • Build AI-enabled enterprise workflow capabilities

Proposal & Compliance Automation

  • Develop intelligent proposal generation and evaluation systems
  • Build compliance validation and document inspection workflows
  • Implement AI-assisted scoring and recommendation engines
  • Support enterprise governance automation initiatives

Infrastructure & Deployment

  • Deploy AI applications in cloud, hybrid, and on-premise environments
  • Configure logging, observability, monitoring, and operational diagnostics
  • Support containerisation and deployment automation practices
  • Optimise infrastructure scalability and operational cost efficiency


Required Qualifications

Education

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field
  • Master’s degree is preferred but not mandatory

Experience

  • Minimum 7 years of software engineering experience
  • Minimum 3 years practical experience developing AI-powered applications
  • Proven experience building and deploying production-grade AI systems
  • Experience working in enterprise or regulated environments preferred

Required Technical Skills

Programming & Backend Development

  • Python
  • FastAPI or equivalent backend frameworks
  • RESTful APIs
  • PostgreSQL or equivalent databases
  • Git and version control systems

AI Technologies

  • Claude APIs
  • OpenAI APIs
  • LangGraph
  • LangChain
  • Retrieval-Augmented Generation
  • Vector databases
  • Prompt orchestration
  • AI workflow automation

Frontend & Integration

  • React or Next.js
  • API integration
  • Authentication and access control concepts

Infrastructure & DevOps

  • Docker
  • Linux environments
  • CI/CD pipelines
  • Cloud deployment concepts

Preferred Skills

  • Experience with enterprise AI governance solutions
  • Experience with intelligent document processing systems
  • Experience using AI-assisted development tools
  • Exposure to multi-agent systems and orchestration frameworks
  • Familiarity with enterprise architecture concepts


Core Competencies

  • Strong analytical and problem-solving skills
  • Ability to independently deliver complex technical solutions
  • Strong software design capability
  • Fast execution and delivery orientation
  • Excellent communication and documentation skills
  • Ability to work in fast-paced enterprise environments

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