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Intellectsoft
AI

Native AI Engineer (IR-521)

Intellectsoft · ES

Actively hiring Posted about 1 month ago

Responsibilities

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

Basic qualifications

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

Preferred qualifications

  • 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.

Benefits

  • Udemy courses of your choice
  • Team-buildings, events, marathons & charity activities to connect and recharge
  • Workshops, trainings, expert knowledge-sharing that keep you growing
  • Clear career path
  • Absence days for work-life balance
  • Flexible hours & work setup - work from any of listed locations and organize your day your way

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Remote Ai Ai Engineer
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