Native AI Engineer

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• AI Feature Development: Create, construct, and deploy production-level AI functionalities within our SaaS product, employing RAG pipelines, autonomous agentic tools, and the Model Context Protocol (MCP).

• Architectural Engineering: Design and uphold highly scalable, dependable backend solutions utilizing ASP.NET Core and F#, with a strict adherence to functional programming principles and event-driven architectures.

• Vector & Data Management: Implement and enhance vector databases to guarantee ultra-low latency, precise semantic search, and contextual data retrieval.

• Model Selection & Evaluation: Assess, benchmark, and integrate various LLMs and foundational models, aligning their distinctive capabilities with specific product needs to achieve optimal cost, speed, and accuracy.

• Cloud & AI Infrastructure: Coordinate and oversee secure, scalable workloads within the Azure ecosystem, specifically utilizing Azure AI deployments.

⛳️ Requirements

• AI & Agentic Frameworks: Demonstrated experience in integrating AI features into production SaaS products, including Agentic tools, RAG pipelines, and the Model Context Protocol (MCP).

• Vector Infrastructure: Profound knowledge of vector databases and the optimization of semantic search.

• Backend Engineering: Strong expertise in ASP.NET Core and F# (or a deep commitment to Functional Programming paradigms).

• Architecture: Experience in designing and maintaining scalable, event-driven architectures.

• Cloud Ecosystem: Practical experience with Azure deployments, specifically utilizing Azure AI infrastructure.

• Frontend Integration: Familiarity with React.js to provide seamless, intuitive AI-driven user experiences.

• **Nice to have:**

• Awareness of benchmarking and assessing various LLM providers and models' unique capabilities to enhance cost and latency.

• Experience in advanced prompt engineering, fine-tuning workflows, or implementing guardrails.

• Understanding of modern CI/CD practices for AI/MLOps within an Azure environment.

🏝️ Benefits

• Udemy courses of your choice

• Team-building events, marathons, and charity activities to foster connection and rejuvenation

• Workshops, training sessions, and expert knowledge-sharing opportunities that facilitate personal growth

• Clear career progression path

• Absence days to promote work-life balance

• Flexible hours and work arrangements - work from any of the listed locations and organize your schedule as you prefer