Senior AI Implementation Technical Lead

About the role

This is a hands-on engineering role with client-facing responsibility. You should enjoy writing code, solving technical problems, and working through ambiguity. Some projects will be clean and well-defined. Others will involve messy data, unclear system boundaries, changing requirements, or legacy client environments.

Responsibilities

• Building web applications, APIs, backend services, and AI-enabled workflows
• Integrating with client databases, file systems, business applications, and APIs
• Building AI tools that help automate manual work
• Creating secure, reliable deployments in Azure
• Setting up logging, monitoring, authentication, and environment configuration
• Working with another engineer to plan and build features
• Joining technical client meetings, demos, and architecture discussions
• Helping estimate work and break projects into clear milestones
• Documenting what was built so the client and PTM team can support it after launch

Requirements

• 4+ years of professional software engineering experience
• Strong backend development experience in Python, C#, or a similar language
• Experience building APIs, services, or full-stack applications
• Experience with relational databases such as SQL Server, Azure SQL, PostgreSQL, or similar
• Experience deploying applications to a cloud platform
• Comfort using Git, pull requests, CI/CD, and modern development workflows
• Ability to troubleshoot production issues
• Ability to work directly with technical and non-technical stakeholders
• Strong written and verbal communication skills
• US work authorization

Qualifications

• Azure experience is strongly preferred, but equivalent AWS or GCP experience is acceptable if you are willing to learn Azure quickly.
• Nice to have:
• Azure Container Apps, Azure Functions, Azure Static Web Apps, or Key Vault
• FastAPI, Pydantic, or ASP.NET Core
• React and TypeScript
• AI application development or LLM-based tools
• OpenAI, Azure AI Foundry, Anthropic, or similar platforms
• Document processing, OCR, or data extraction
• Workflow automation, RPA, or low-code tools
• Infrastructure as Code experience with Bicep, Terraform, or similar
• Observability experience with Application Insights, Azure Monitor, OpenTelemetry, or structured logging
• Healthcare, insurance, finance, manufacturing, logistics, or other complex industry experience
• HIPAA, compliance, privacy, or regulated data experience

Benefits

• Possibility of contract-to-hire
• Full Medical Benefits
• 2 Weeks Paid Vacation
• Full Time
• Dental & vision insurance
• 401(k) matching