Native AI Engineer (IR-521)

Actively Hiring

Full-time Posted 3 months ago

Responsibilities

check_circle 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).
check_circle 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.
check_circle Vector & Data Management: Implement and optimize vector databases to ensure ultra-low latency, highly accurate semantic search and contextual data retrieval.
check_circle 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.
check_circle Cloud & AI Infrastructure: Orchestrate and manage secure, scalable workloads within the Azure ecosystem, specifically leveraging Azure AI deployments.

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.

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.

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

Fulltime Remote Ai Ai Engineer