Software engineer

Company Overview:

If a culture of excellence, innovation and ownership is what you’re searching for, consider putting your experience in motion at Flowserve. As an individual contributor, or as a leader of people, your enterprise mindset will ensure Flowserve’s position as the global standard in comprehensive flow control solutions. Here, your opportunity for professional development and industry leading rewards will be supported by our foundational commitments to the values of people first, integrity and safety. Thinking beyond opportunity and reward, at Flowserve, we are inspired by working together to create extraordinary flow control solutions to make the world better for everyone!

Summary:

Flowserve seeks an AI Software Engineer with expertise in Large Language Models (LLMs), agentic AI frameworks, and business analysis to build and optimize AI-driven business applications in an Azure-only environment. The role bridges technical development and business needs, translating stakeholder requirements into scalable AI solutions with a primary emphasis on Microsoft Semantic Kernel for orchestration and extensive use of the Microsoft Graph API.

End-to-end responsibilities include designing, deploying, and monitoring AI solutions with Azure AI Foundry. Agent-based development leverages patterns such as Model Context Protocol (MCP) and follows SDLC best practices to deliver innovative AI solutions with measurable ROI.

Responsibilities:

Business Analysis & Collaboration:

• Conduct business analysis to identify requirements, pain points, and high-value AI opportunities.
• Collaborate with cross-functional teams—from data engineering to product management—to transform business needs into innovative AI solutions.
  
  

Application Development:

• Design, develop, and deploy full-stack AI applications using modern JavaScript frameworks ( React , Angular , Svelte , TypeScript , Node.js/Express ) and Python (FastAPI) .
• Extract, process, and integrate data from ERP systems and other IT platforms.
• Document system architecture, design decisions, and implementation strategies.
  
  

Integration & Pipeline Management:

• Implement and maintain robust API integrations and data pipelines.
• Ensure data accuracy and optimal performance through continuous monitoring and iteration.
• Develop and maintain model evaluation frameworks and performance monitoring systems.
• Lead Microsoft Graph API integrations (app registrations; delegated/application permissions; change notifications/webhooks; delta queries; Mail, Calendar, Files/SharePoint/OneDrive, Teams, Users/Groups).
  
  

Technical Leadership:

• Facilitate technical discussions with stakeholders, providing architecture guidance and practical solutions.
• Support strategic planning by collaborating on KPI maturity roadmaps and business analysis.
• Assess and mitigate risks in AI implementations through testing and validation strategies.
  
  

Technical Skills and Tools:

• Frontend: React, Angular, Svelte, TypeScript, Tailwind CSS.
• Backend: Node.js, Express, Python (FastAPI), REST APIs.
• AI Orchestration: Microsoft Semantic Kernel; LangChain; LLM tool calling; agent frameworks (e.g., MCP); prompt engineering, prompt version management; token optimization; response evaluation frameworks; prompt versioning and testing strategies.
• Cloud & Platform (Azure-only): Azure App Service — Web Apps for Containers (primary: deployment slots & slot swap; health check path; startup command; app settings/connection strings; Managed Identity + Key Vault; VNet integration; Private Endpoints/Private Link; autoscale; “Always On”); Azure OpenAI Service; Azure AI Foundry (Prompt Flow); Azure AI/ML; Azure DevOps (YAML) and/or GitHub Actions; Azure Container Registry (ACR); Azure API Management; Azure App Configuration (feature flags). Nice-to-have: Azure Container Apps; Azure Container Environments; Azure Container Instances.
• Observability: Azure Monitor; Application Insights; Log Analytics (KQL); OpenTelemetry traces/metrics/logs; alert rules & action groups.
• Security & Governance: Microsoft Entra ID app registrations; Managed Identities; Azure RBAC; Key Vault; Defender for Cloud; Azure Policy; Private DNS Zones.
• Database: PostgreSQL + pgvector (primary); SQL; Oracle; Azure SQL Database; Cosmos DB; other VectorDB technologies (as needed).
• Tools: VS Code; Git; Azure DevOps; GitHub; Prisma.
• Security & Ethics: Awareness of data protection and privacy; model fairness; responsible AI; compliance with industry standards.
  
  

Requirements:

• 3–5 years of relevant experience in software development and AI/ML applications.
• Strong proficiency in modern JavaScript frameworks and Python .
• Proven track record of translating business requirements into technical solutions with measurable outcomes.
• Familiarity with ERP systems and other IT platforms (e.g., Oracle, SAP S/4HANA , BPC, Power BI, Microsoft 365).
• Solid understanding of the software development lifecycle and Agile methodologies.
• Links to Git repositories and deployed solutions in the resume are strongly preferred.
  
  

Preferred Experience / Skills:

• Bachelor’s degree in Computer Science, Business, or a related field (advanced degrees or equivalent experience are a plus).
• Experience in industrial manufacturing or a related domain, or equivalent experience in a similar industry.
• Hands-on experience with DevOps practices and Azure cloud services.
• Familiarity with data engineering and analytics platforms.
• Experience with Agile project management tools.
  
  

Soft Skills:

• Excellent communication and collaboration skills with the ability to influence stakeholders.
• Strong problem-solving skills and attention to detail.
• Ability to work effectively in a dynamic, cross-functional team environment.
  
  

Growth Opportunities:

• Work with cutting-edge AI technologies and contribute to innovative solutions.
• Continuous learning and development through hands-on experience with the latest Azure AI services.
• Opportunity to shape AI strategy and implementation practices.
• Mentorship and knowledge sharing within a collaborative team environment.
• Professional development support, including certifications and training.
  
  

Join Our Team:

Help drive the future of AI innovation while working with state-of-the-art cloud technologies and frameworks. The environment promotes collaboration, growth, and meaningful impact.

Benefits Starting from Day 1:

• Medical, Dental & Vision Insurance (including FSA and HSA options)
• Life Insurance + Supplemental Life, Child, Spousal, and AD&D Insurance
• Short and Long Term Disability
• Retirement Planning, 401(k) plan, & Financial Wellness Resources
• Educational Assistance Program
• Time off Policies (including sick leave, parental leave, and paid vacation)
• Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
  
  

Flowserve is a world-leading manufacturer and aftermarket service provider of comprehensive flow control systems. Join a company whose people are committed to building a more sustainable future to make the world better for everyone. With 16,000+ employees in 50+ countries, we combine our global reach with local presence. Our team challenges themselves to approach each situation with ingenuity and creativity to help provide our customers with the most innovative flow control products and services. We support 10,000+ customers worldwide, creating products to meet the needs of our customers who are supplying energy, fresh water, pharmaceuticals and other essentials to consumers, businesses and governments globally. We invite you to put your talents and career in motion at Flowserve.

Req ID : R-16343

Job Family Group : Information Technology

Job Family : IT Business Analysis

EOE including Disability/Protected Veterans. Flowserve will also not discriminate against an applicant or employee for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co-workers. Pay Transparency Nondiscrimination Provision

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