AI Engineer — AI Insights & Data, JLLT
Role: Build and ship agentic AI solutions for client and internal use cases, and own architecture decisions on the systems you build.
You'll
• Build and test AI agents (tool use, memory, multi-step reasoning) under guidance
• Deploy and operate agents on Amazon Bedrock AgentCore
• Integrate tools and data sources into agents via AgentCore Gateway
• Write, debug, and document clean Python code
• Craft and iterate on prompts; run evaluations and summarize results
• Support monitoring, logging, and observability of deployed agents
• Collaborate with engineers and product teammates in an agile environment
Must have (3-8 yrs)
• Proficiency in Python
• Understanding of LLMs and core agentic concepts (prompting, tool/function calling, RAG basics)
• Familiarity with an agent framework (Strands preferred) and building tool servers (FastMCP / MCP)
• Basic cloud knowledge on AWS or Azure (compute, storage, IAM/roles) and comfort with the console/CLI
• Basic knowledge of Git / GitHub and REST APIs
• Comfort with Docker (build/run containers)
• Solid problem-solving skills and willingness to learn a new platform quickly
Nice to have
• Amazon Bedrock or Bedrock AgentCore
• CI/CD with GitHub Actions
• Container orchestration with Kubernetes and GitOps deployment via ArgoCD
• Observability/monitoring with Datadog
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The Custom Hardware and Electronics Configurator (CHEC) team builds and maintains DTNA's proprietary web-based tool that enables Truck Equipment Manufacturers (TEMs), dealers, and internal teams to configure and validate vehicle electrical features. CHEC operates in a safety-relevant, high-complexity domain where usability, correctness, and delivery discipline are critical.
We are looking for a Senior Full Stack Developer who will focus on .NET backend services, business logic, and integration layers that support CHEC's configuration engine and ECU-related workflows. AI fluency is a core competency on this team - you will use AI coding assistants daily to accelerate API design and implementation, generate robust test coverage, and ensure the security and reliability of backend systems.
What You Drive at DTNA
Design and implement .NET/C# backend services and APIs
Build robust validation, rules, and configuration logic
Ensure performance, security, and reliability of backend systems, including AI-assisted code review and security analysis
Collaborate with frontend developers and architects on API contracts
Support Azure deployments, monitoring, and troubleshooting
Contribute to automated integration and API tests, leveraging AI tools to generate test cases, improve coverage, and identify edge cases
Participate in agile planning and code reviews
Use AI coding assistants (Claude Code, GitHub Copilot, Cursor) as daily development tools to accelerate API design, implementation, and debugging
Apply prompt engineering techniques to generate, refactor, and optimize .NET/C# backend code
Critically evaluate AI-generated code for correctness, security, and compliance with safety-relevant domain requirements
Share effective prompts and AI workflow techniques with teammates
Knowledge You Should Bring
Bachelor's degree in Computer Science, Software Engineering, or related field
6+ years backend or full-stack development
Strong C#/.NET and API architecture experience.
Database expertise (SQL Server, Entity Framework / EF Core, data modeling)
RESTful API design principles (versioning, pagination, error handling conventions)
Unit testing and TDD frameworks (xUnit, NUnit, Moq)
Security best practices (OWASP, input validation, authentication/authorization patterns)
Experience with Microsoft Azure cloud services and GitHub
Experience with enterprise or tool-based platforms
Demonstrated proficiency with AI coding assistants (Claude Code, GitHub Copilot, or Cursor) in daily development workflows
Prompt engineering skills for backend code generation, API scaffolding, and test creation
Ability to critically evaluate and refine AI-generated code, particularly for security and safety-relevant contexts
Exceptional Candidates Might Have
Experience in safety-relevant or high-auditability systems
Frontend exposure with React
Message queues and async processing (Azure Service Bus, RabbitMQ)
Observability tooling (Application Insights, structured logging, distributed tracing)
Performance tuning (query optimization, caching strategies)
Experience integrating LLM APIs into backend services
Track record of using AI tools to measurably accelerate delivery
Familiarity with AI-assisted security analysis and testing tools
Responsibilities
The Custom Hardware and Electronics Configurator (CHEC) team builds and maintains DTNA's proprietary web-based tool that enables Truck Equipment Manufacturers (TEMs), dealers, and internal teams to configure and validate vehicle electrical features. CHEC operates in a safety-relevant, high-complexity domain where usability, correctness, and delivery discipline are critical.
We are looking for a Senior Full Stack Developer who will focus on .NET backend services, business logic, and integration layers that support CHEC's configuration engine and ECU-related workflows. AI fluency is a core competency on this team - you will use AI coding assistants daily to accelerate API design and implementation, generate robust test coverage, and ensure the security and reliability of backend systems.
What You Drive at DTNA
Design and implement .NET/C# backend services and APIs
Build robust validation, rules, and configuration logic
Ensure performance, security, and reliability of backend systems, including AI-assisted code review and security analysis
Collaborate with frontend developers and architects on API contracts
Support Azure deployments, monitoring, and troubleshooting
Contribute to automated integration and API tests, leveraging AI tools to generate test cases, improve coverage, and identify edge cases
Participate in agile planning and code reviews
Use AI coding assistants (Claude Code, GitHub Copilot, Cursor) as daily development tools to accelerate API design, implementation, and debugging
Apply prompt engineering techniques to generate, refactor, and optimize .NET/C# backend code
Critically evaluate AI-generated code for correctness, security, and compliance with safety-relevant domain requirements
Share effective prompts and AI workflow techniques with teammates
Knowledge You Should Bring
Bachelor's degree in Computer Science, Software Engineering, or related field
6+ years backend or full-stack development
Strong C#/.NET and API architecture experience.
Database expertise (SQL Server, Entity Framework / EF Core, data modeling)
RESTful API design principles (versioning, pagination, error handling conventions)
Unit testing and TDD frameworks (xUnit, NUnit, Moq)
Security best practices (OWASP, input validation, authentication/authorization patterns)
Experience with Microsoft Azure cloud services and GitHub
Experience with enterprise or tool-based platforms
Demonstrated proficiency with AI coding assistants (Claude Code, GitHub Copilot, or Cursor) in daily development workflows
Prompt engineering skills for backend code generation, API scaffolding, and test creation
Ability to critically evaluate and refine AI-generated code, particularly for security and safety-relevant contexts
Exceptional Candidates Might Have
Experience in safety-relevant or high-auditability systems
Frontend exposure with React
Message queues and async processing (Azure Service Bus, RabbitMQ)
Observability tooling (Application Insights, structured logging, distributed tracing)
Performance tuning (query optimization, caching strategies)
Experience integrating LLM APIs into backend services
Track record of using AI tools to measurably accelerate delivery
Familiarity with AI-assisted security analysis and testing tools
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
