Applied AI Engineer

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Applied AI Engineer

Deloitte

Hyderabad

3+ years

Today

$20.5K–32.5K/yr

Full-time

Onsite

Skills Required LLM

RAG

LangChain

OpenAI

Anthropic

Azure OpenAI

Prompt Engineering

Vector Database

LangGraph

Python

React

• NET

Java

C#

Angular

Description Applied AI Engineer II role focused on building high-visibility full-stack products with GenAI and agentic capabilities. The position emphasizes end-to-end delivery, engineering craftsmanship, and cross-functional collaboration at Deloitte.

Company: Deloitte

Role: Applied AI Engineer - Software Engineer II

Location: Same job available in 2 locations

Experience

• 3+ years of experience with most of the listed technologies
• 2+ years building AI/ML and agentic applications
• 2+ years of cloud-native engineering experience
• Understanding of Business Context Diagrams and system design diagrams
• Experience with OOP/OOD, data structures, algorithms, and code instrumentations
• Ability to travel 10%, on average

Qualification

• Bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline

Responsibilities

• Build and enhance high-visibility, full-stack products
• Deliver products and AI investments that create customer and business value
• Design, build, and ship products end to end from concept through production
• Drive accountability for customer and business outcomes
• Own inference, token, and cloud cost of what you build
• Participate in requirement analysis, component design, development, testing, integrations, and support
• Maintain code-design integrity, implementation fidelity, data quality, and ongoing operations
• Create technical specifications and write high-quality, supportable, scalable code
• Work with customers and product teams before, during, and after delivery
• Translate business and user needs, architectures, and UX/UI designs into technical specifications and code
• Collaborate with empowered cross-functional teams including product management, experience, and delivery
• Integrate diverse perspectives and make decisions balancing feasibility, viability, usability, and value
• Communicate technical concepts clearly and influence through evidence-based trade-offs
• Build and maintain constructive relationships and drive consensus

Additional Responsibilities

• Develop lean engineering solutions through rapid, inexpensive experimentation
• Adopt an action-and-evidence mindset over extensive planning
• Deliver lean, supportable, and maintainable solutions in uncertainty
• Use AI and Agentic SSDLC to enable daily product deployments with full automation from discovery to production to operations
• Apply all quality checks through the SSDLC lifecycle
• Quickly acquire domain-specific knowledge relevant to the business or product
• Support teammates and focus on quality and tech debt payoff
• Continuously learn new approaches, languages, and frameworks
• Work effectively with diverse teams and changing priorities
• Contribute to professional growth and collaborative culture

Nice To Have

• Limited immigration sponsorship may be available

More Skills NodeJS, SQL, NoSQL, PyTorch, TensorFlow, unit testing frameworks, open-source models, evaluations, AI agent orchestration, FaaS, PaaS, micro-services, Azure, AWS, GCP, AWS Bedrock, Vertex AI, application-level infrastructure-as-code, FinOps, XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, LangFuse, LangSmith, multi-agent orchestration tools, AI-augmented spec-driven development

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