Senior AI Product Engineer
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Key skills for this role
About the Role
JODAYN seeks a Senior AI Product Engineer to lead design, development, and deployment of enterprise AI solutions. You will build scalable AI platforms, integrate LLMs, and develop agentic AI systems.
Key Skills for This Role
Responsibilities
- 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
- Build autonomous and semi autonomous AI agents with multi agent orchestration workflows
- Integrate and optimise large language model services including Claude, OpenAI, and open source models
- Develop prompt orchestration pipelines and retrieval augmented generation architectures
- Integrate AI platforms with enterprise systems, collaboration tools, and document repositories
- Develop intelligent proposal generation and evaluation systems
- Deploy AI applications in cloud, hybrid, and on premise environments
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field
- 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
- Proficiency in Python, FastAPI, RESTful APIs, PostgreSQL, Git
- Experience with Claude APIs, OpenAI APIs, LangGraph, LangChain, RAG, vector databases, prompt orchestration, AI workflow automation
- Experience with React or Next.js, API integration, authentication
- Experience with Docker, Linux, CI/CD pipelines, cloud deployment
Full Job Posting
Role Overview
- Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise grade AI solutions.
- The successful candidate will play a critical role in developing scalable AI powered products and reusable enterprise AI services.
- This role requires a strong engineering mindset combined with hands on experience in modern AI frameworks, LLM integration, AI orchestration, backend engineering, and enterprise solution development.
Key Responsibilities
- 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.
- Build autonomous and semi autonomous AI agents with multi agent orchestration workflows.
- Integrate and optimise large language model services including Claude, OpenAI, and open source models.
- Develop prompt orchestration pipelines and retrieval augmented generation architectures.
- Integrate AI platforms with enterprise systems, collaboration tools, and document repositories.
- Develop intelligent proposal generation and evaluation systems.
- Deploy AI applications in cloud, hybrid, and on premise environments.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.
- 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: Python, FastAPI, RESTful APIs, PostgreSQL, Git.
- AI Technologies: Claude APIs, OpenAI APIs, LangGraph, LangChain, RAG, vector databases, prompt orchestration, AI workflow automation.
- Frontend & Integration: React or Next.js, API integration, authentication.
- Infrastructure & DevOps: Docker, Linux, 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.
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