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Applied AI Engineer (AWS) - Software Specialist Engineer II
Deloitte
United state
6 years
Today
$33.7K–44.6K/yr
Full-time
Onsite
Skills Required
LLM
RAG
LangChain
OpenAI
Anthropic
Azure OpenAI
Vector Database
Prompt Engineering
LangGraph
PyTorch
TensorFlow
Angular
React
Node.js
Python
Description
Applied AI Full Stack Engineer II (AWS) role focused on building and enhancing high-visibility full-stack products with applied AI capabilities. The position emphasizes outcome-driven engineering, cross-functional collaboration, and delivery from concept through production.
Company: Deloitte
Role: Applied AI Engineer II
Location: Same job available in 2 locations
Experience
C#, .NET, Java, SQL, NoSQL, unit testing frameworks, LLM integration, open-source models, evaluations, AI agent orchestration, AWS, AWS Bedrock, Vertex AI, FaaS, PaaS, micro-services, application-level infrastructure-as-code, FinOps, XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, LangFuse, LangSmith, multi-agent orchestration tools, AI and Agentic SSDLC, full automation, full-stack software engineering, modern frameworks
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Applied AI Engineer (AWS) - Software Specialist Engineer II
Deloitte
United state
6 years
Today
$33.7K–44.6K/yr
Full-time
Onsite
Skills Required
LLM
RAG
LangChain
OpenAI
Anthropic
Azure OpenAI
Vector Database
Prompt Engineering
LangGraph
PyTorch
TensorFlow
Angular
React
Node.js
Python
Description
Applied AI Full Stack Engineer II (AWS) role focused on building and enhancing high-visibility full-stack products with applied AI capabilities. The position emphasizes outcome-driven engineering, cross-functional collaboration, and delivery from concept through production.
Company: Deloitte
Role: Applied AI Engineer II
Location: Same job available in 2 locations
Experience
- 6 years of experience with most of the listed full-stack technologies
- 3 years of experience building AI/ML and agentic applications
- 3 years of experience with cloud-native engineering on cloud hyperscalers
- Experience with business context and technical diagramming concepts
- Prior software engineering experience with object-oriented design, data structures, algorithms, and code instrumentation
- Experience with AI-augmented spec-driven development
- Experience with modern delivery methodologies and tools for rapid product delivery
- Ability to travel 10% on average
- Bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline
- Build and enhance high-visibility full-stack products
- Drive customer and business outcomes with lean, high-quality engineering solutions
- Own inference, token, and cloud cost of what you build
- Serve as technical advocate for products
- Lead requirement analysis, component design, development, testing, integrations, and support
- Maintain code-design integrity and implementation fidelity to architecture and tech stack
- Create technical specifications and high-quality, supportable, scalable code
- Develop solutions through rapid, inexpensive experimentation
- Engage with customers and product teams before, during, and after delivery
- Work collaboratively with cross-functional teams to design, build, and ship products end to end
- Translate business/user needs, architectures, and UX/UI designs into technical specifications and code
- Collaborate with product engineering teams across organizational levels to build constructive relationships
- Align diverse perspectives and drive consensus for feasible solutions
- Ensure quality KPIs are met or exceeded
- Own ongoing maintenance and operations
- Continuously learn new approaches, languages, and frameworks
- Favor action and evidence over extensive planning
- Deliver lean, supportable, and maintainable solutions
- Use AI and Agentic SSDLC to support daily product deployments with full automation from discovery to production to operations and quality checks
- Quickly acquire domain-specific knowledge relevant to the business or product
- Be supportive of teammates and focused on quality and tech debt payoff
- Demonstrate exceptional communication and influence through evidence-based trade-offs
- Foster a collaborative environment that enhances team synergy and innovation
- Work within Deloitte Technology Product Engineering and its modernized product delivery model
- Limited immigration sponsorship may be available
C#, .NET, Java, SQL, NoSQL, unit testing frameworks, LLM integration, open-source models, evaluations, AI agent orchestration, AWS, AWS Bedrock, Vertex AI, FaaS, PaaS, micro-services, application-level infrastructure-as-code, FinOps, XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, LangFuse, LangSmith, multi-agent orchestration tools, AI and Agentic SSDLC, full automation, full-stack software engineering, modern frameworks
Prepare for this role
Recommended resources to build the skills for this position. Sponsored.
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Zenaique
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