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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