Develop and deploy AI features for a SaaS product, architect scalable backends, optimize vector databases, and manage Azure AI infrastructure.
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.
Requirements
- 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.
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
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
Senior People Operations partner for EMEA delivering end-to-end HR support, Workday implementation and optimisation, process automation, change management, and stakeholder engagement. Drives HR systems configuration, testing, documentation, training, benefits support, local compliance, and continuous improvement across the employee lifecycle.
Top Skills:
AIHrisWorkday
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
Lead end-to-end GTM technology projects with a focus on Salesforce and AI agent implementations. Translate business needs into functional requirements, coordinate development, manage timelines, testing, releases, and drive user adoption and process improvements to boost efficiency and data quality.
Top Skills:
Ai AgentsMS OfficeSalesforce (Sfdc)
Artificial Intelligence • Productivity • Software • Automation
As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.
Top Skills:
Cloud InfrastructureLlm OpsMl OpsPythonTypescript
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
