Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Job Description

Structured overview of role & requirements

Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Job Description

Structured overview of role & requirements

Applied AI Full Stack Developer (AWS) - Software Specialist Engineer II

Deloitte

fiveSevenUNKNOWNofficeDirect Career PageEst. 22–36 LPA

Posted 19h ago

Protocol Intelligence

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Strong employer brand, metro location, mid-level generalist fullstack title, and broad required skillset increase competition.

Background Fit Sensitivity

(Moderate)

Role needs applied AI, agentic and cloud-native experience so industry-agnostic but requires specialized AI/cloud background.

Shortlisting Strictness

(High)

Explicit 6+ years plus multiple mandatory AI, cloud, and tech-stack requirements make filters stringent.

CV Match Score

Estimated fit based on your resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Job Description

Structured overview of role & requirements

About This Role

Develop and enhance full-stack AI-driven products focusing on delivering customer and business outcomes with careful cost management.

Lead technical aspects of product lifecycle including design, development, testing, integration, and support with strong code and architecture ownership.

Collaborate with cross-functional teams to build scalable, maintainable, and high-quality AI and agentic software solutions using modern software engineering practices.

Minimum Requirements

Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline.

6+ years experience with front- and back-end technologies such as Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL and AI frameworks like PyTorch, TensorFlow.

3+ years experience building AI/ML and agentic applications including GenAI with LLM integration (OpenAI, Anthropic, or open source), RAG pipelines, prompt engineering, vector databases, and AI orchestration.

3+ years experience with cloud-native engineering on AWS or similar hyperscalers, including AI/ML cloud services and cost-aware infrastructure engineering (FinOps).

Ideal Candidate Profile

Experienced full-stack engineer with proven ability to deliver AI/ML-enhanced products from concept through production, owning full software lifecycle.

Skilled in applying modern AI and agentic software development lifecycle methodologies (e.g., XP, Lean, DevSecOps, SRE) and multi-agent AI orchestration frameworks.

Comfortable working collaboratively with cross-disciplinary teams to balance technical feasibility, business viability, and user value while managing technical quality and costs.

Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Job Description

Structured overview of role & requirements

Applied AI Full Stack Developer (AWS) - Software Specialist Engineer II at Deloitte – Unknown | Protocol Jobs

Applied AI Full Stack Developer (AWS) - Software Specialist Engineer II

Deloitte

fiveSevenUNKNOWNofficeDirect Career PageEst. 22–36 LPA

Posted 19h ago

Protocol Intelligence

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Strong employer brand, metro location, mid-level generalist fullstack title, and broad required skillset increase competition.

Background Fit Sensitivity

(Moderate)

Role needs applied AI, agentic and cloud-native experience so industry-agnostic but requires specialized AI/cloud background.

Shortlisting Strictness

(High)

Explicit 6+ years plus multiple mandatory AI, cloud, and tech-stack requirements make filters stringent.

CV Match Score

Estimated fit based on your resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Job Description

Structured overview of role & requirements

About This Role

Develop and enhance full-stack AI-driven products focusing on delivering customer and business outcomes with careful cost management.

Lead technical aspects of product lifecycle including design, development, testing, integration, and support with strong code and architecture ownership.

Collaborate with cross-functional teams to build scalable, maintainable, and high-quality AI and agentic software solutions using modern software engineering practices.

Minimum Requirements

Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline.

6+ years experience with front- and back-end technologies such as Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL and AI frameworks like PyTorch, TensorFlow.

3+ years experience with cloud-native engineering on AWS or similar hyperscalers, including AI/ML cloud services and cost-aware infrastructure engineering (FinOps).

Ideal Candidate Profile

Experienced full-stack engineer with proven ability to deliver AI/ML-enhanced products from concept through production, owning full software lifecycle.

Skilled in applying modern AI and agentic software development lifecycle methodologies (e.g., XP, Lean, DevSecOps, SRE) and multi-agent AI orchestration frameworks.

Comfortable working collaboratively with cross-disciplinary teams to balance technical feasibility, business viability, and user value while managing technical quality and costs.