Job Description
Intellectsoft is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe. We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive innovation and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, and many more where our teams are making daily impact. Together, our team delivers solutions that make a difference. Learn more at www.intellectsoft.net/
Our client is a rapidly scaling, remote-first software provider specializing in governance technology. They streamline mission-critical decision-making and meeting workflows for high-level corporate leadership. Their diverse client base features leading European industrial groups, major media conglomerates, and energy giants, including several Tier-1 publicly traded corporations.
Tech stack: ASP.NET Core, React.js, F#, functional programming, event-driven architectures, AI, Azure.
- 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.
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.
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.
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
