Software Development Engineer – AI, Automation

BPCS, Comprehensive marketing solutions, ltd.

. Identify high-friction operational workflows, quantify current-state cost, and design automated or agent-driven solutions .

Posted 10/1/2026full-timeRemote • United StatesMid-LevelSenior💰 $105,000 - $115,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI agents and intelligent workflows using Azure technologies, with a strong focus on automation, security, and compliance. Proficient in backend development with .NET, C#, Python, and SQL, while effectively collaborating with diverse stakeholders to translate operational needs into technical solutions.

Highest-signal resume keywords

Azure App ServicesPrompt EngineeringAI Services DevelopmentProcess AutomationEntra ID Authentication

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Hard Skills

.NETC#PythonSQLRESTful API DevelopmentAzure SQLLogic AppsAzure AI FoundryAzure AI SearchCI/CD

Soft Skills

Problem-SolvingCollaborationTechnical GuidanceDebuggingTroubleshooting

Tools & Technologies

Azure DevOpsCopilot StudioMCPAgent FrameworkHuman-in-the-Loop Workflows

Industry Keywords

Cloud-Based ApplicationsAutomationWorkflow OrchestrationCompliance AssessmentsSecurity

Tech Stack

Tools & technologies

AzureCloudPythonSQL.NET

About the role

Key responsibilities & impact

Identify high-friction operational workflows, quantify current-state cost, and design automated or agent-driven solutions
Build AI agents and intelligent workflows using Azure AI Foundry, Copilot Studio, Microsoft Agent Framework, MCP, and related frameworks
Design multi-step tool use, orchestration, and human-in-the-loop workflows
Replatform prototypes and proofs of concept into secure, scalable, observable, supportable production services
Design and develop RESTful APIs, tool/function endpoints, and backend services using Azure App Services
Apply prompt engineering, grounding, retrieval, Azure AI Search, and evaluation practices
Build evaluation and quality infrastructure, including offline evaluation sets, CI regression gates, drift detection, and release criteria
Develop observability for AI and agentic systems, including quality, cost, latency, tool-call outcomes, and rollback capabilities
Build integrations between internal and external systems with appropriate human review and intervention points
Implement secure authentication and authorization using Entra ID
Support privacy, security, accessibility, responsible AI, and compliance assessments
Use Azure DevOps for source control, CI/CD, automated testing, release management, and work tracking
Partner with engineers, program managers, stakeholders, and end users to translate operational processes into technical solutions
Participate in code reviews, unit testing, Agile ceremonies, troubleshooting, and debugging
Evaluate emerging AI and agent technologies and recommend practical applications
Document workflow architectures, agent behavior and boundaries, integration contracts, and system designs

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience
3+ years of professional software development experience, with a focus on cloud-based applications
Strong proficiency with .NET, C#, Python, and SQL for backend development
Hands-on experience building with LLMs and AI services, including prompt engineering
Experience taking at least one AI-powered feature, agent, or automation into production or near-production and discussing the technical implementation in depth
Demonstrated experience automating real-world workflows through process automation, orchestration, integrations, or agentic tooling
Strong knowledge of Azure App Services, Azure SQL, Logic Apps, Copilot Studio, Azure AI Foundry, and Azure AI Search
Experience using Azure DevOps for version control, build automation, release management, and project tracking
Experience designing secure applications using Entra ID for authentication and authorization
Strong understanding of SQL database design, optimization, and querying
Strong problem-solving, debugging, and troubleshooting abilities across code, data, configuration, and AI/model behavior
Ability to collaborate effectively with both technical and non-technical stakeholders
Ability to work directly with end users, gather requirements, provide technical guidance, and iterate based on feedback

Benefits

Comp & perks

Medical, dental, and vision coverage
Flexible Spending Account (FSA)
401(k) retirement plan
Competitive paid time off
Parental leave
Professional growth and development opportunities