AI ENGINEER

Employer not named by the sourceRemote

AI/MLFull StackAI Tooling

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About this role

Java, Python, Azure, Machine Learning (ML), PostgreSQL, Software Development, LangChain, GitHub CoPilot, AI Agents, RAG Pipelines · POSITION RESPONSIBILITIES • Design, develop, and deploy Al-driven agents for identified business use cases. • Develop and implement AI solutions using LLM frameworks and advanced prompt engineering techniques. • Explore and enable deployment and serving of LLMs in local and cloud environments. • Integrate AI agents with enterprise applications and development tools (e.g., IDEs). • Implement observability, versioning, monitoring, and auditing mechanisms for AI model usage. • Optimize AI models for performance, latency, scalability, and real-time applications. • Design and build ML Ops pipelines, data pipelines, storage systems, and APIs for model training and inference. • Integrate enterprise data sources securely within the AI ecosystem. • Develop high-quality, maintainable, and well-documented code using Python, TypeScript, or similar technologies. • Build full-stack applications including front-end UI, backend services, and database integration. • Collaborate with cross-functional teams to deliver scalable and efficient AI solutions. • Ensure security, compliance, and governance standards are adhered to for AI systems. DESIRED / PREFERRED QUALIFICATIONS • 4—6