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Home/Jobs/Applied AI Engineer
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 skilled 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
Prepare for this role
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