AI Engineer

TL;DR

AI Engineer (ASP.NET Core): Designing, building, and deploying production-grade AI capabilities into a SaaS product with an accent on RAG pipelines, autonomous agentic tools, and Model Context Protocol (MCP). Focus on evaluating and integrating diverse LLMs and foundation models, matching their unique capabilities to specific product requirements for optimal cost, speed, and accuracy.

Location: Remote (Ukraine, Poland, Spain, Portugal, Bulgaria)

Company

hirify.global is a software development company delivering innovative solutions since 2007, specializing in industries like Fintech, Healthcare, and EdTech.

What you will do

• Design, build, and deploy production-grade AI capabilities into our SaaS product, utilizing RAG pipelines, autonomous agentic tools, and Model Context Protocol (MCP).
• Architect and maintain highly scalable, reliable backend solutions using ASP.NET Core and F#, strictly adhering to functional programming principles and event-driven architectures.
• Implement and optimize vector databases to ensure ultra-low latency, highly accurate semantic search and contextual data retrieval.
• Evaluate, benchmark, and integrate diverse LLMs and foundation models, matching their unique capabilities to specific product requirements for optimal cost, speed, and accuracy.
• Orchestrate and manage secure, scalable workloads within the Azure ecosystem, specifically leveraging Azure AI deployments.

Requirements

• Proven experience building AI features into production SaaS products, including Agentic tools, RAG pipelines, and Model Context Protocol (MCP).
• Deep understanding of vector databases and semantic search optimization.
• Strong proficiency in ASP.NET Core and F# (or a deep commitment to Functional Programming paradigms).
• Experience designing and maintaining scalable, event-driven architectures.
• Hands-on experience with Azure deployments, specifically leveraging Azure AI infrastructure.
• Experience working with React.js to deliver seamless, intuitive AI-driven user experiences.

Nice to have

• Familiarity with benchmarking and evaluating different LLM providers and models' unique capabilities to optimize cost and latency.
• Experience with advanced prompt engineering, fine-tuning workflows, or guardrail implementation.
• Knowledge of modern CI/CD practices for AI/MLOps in an Azure environment.

Culture & Benefits

• Access Udemy courses.
• Participate in team-buildings, events, marathons & charity activities.
• Attend workshops, trainings, and expert knowledge-sharing sessions.
• Enjoy a clear career path.
• Utilize absence days for work-life balance.
• Benefit from flexible hours & work setup, working from any of the listed locations.