Applied AI Engineer – Full Stack + GenAI

Applied AI Engineer – Full Stack + GenAI

Job Summary

We are looking for an experienced Applied AI Engineer with strong full-stack software engineering expertise and hands-on experience in Generative AI, LLMs, and agentic applications.

The ideal candidate will be responsible for designing, developing, integrating, testing, and deploying scalable full-stack products enhanced with modern AI capabilities. You will work closely with product, engineering, and cross-functional teams to deliver high-quality, production-ready solutions.

Key Responsibilities

• Design, develop, test, and deploy scalable full-stack applications.
• Build and integrate Generative AI, LLM, RAG, and agentic AI capabilities into applications.
• Develop and maintain frontend applications using Angular.
• Build backend services using .NET/C# or Python, depending on the role.
• Integrate cloud-native services and AI/ML capabilities across AWS/Azure environments.
• Work with LLM APIs, prompt engineering, vector databases, RAG pipelines, and AI agent orchestration.
• Develop production-ready APIs, microservices, and cloud-native applications.
• Apply software engineering best practices including OOP/OOD, design patterns, testing, CI/CD, and code quality.
• Collaborate with product managers, UX teams, architects, and other engineering teams.
• Participate in technical design, requirement analysis, development, integration, testing, and production support.
• Optimize application performance, scalability, reliability, and cloud/AI costs.
• Work with modern DevSecOps, SRE, and automated software development lifecycle practices.

Required Skills

For AWS / Full-Stack roles:

• 6–9 years of overall software engineering experience.
• Strong hands-on experience with .NET/C# and Angular.
• Strong experience with AWS and cloud-native application development.
• Hands-on experience with Generative AI / LLMs / AI/ML.
• Experience with REST APIs, microservices, SQL/NoSQL databases, and unit testing.

For Azure / Full-Stack roles:

• 6–9 years of overall software engineering experience.
• Strong hands-on experience with .NET/C# and Angular.
• Strong experience with Azure and cloud-native application development.
• Hands-on experience with Generative AI / LLMs / AI/ML.
• Experience with REST APIs, microservices, SQL/NoSQL databases, and unit testing.

For Python + GenAI roles:

• 6–9 years of overall software engineering experience.
• Strong Python + SQL experience.
• Hands-on experience with Angular.
• Strong experience with AWS or Azure.
• Hands-on experience in Generative AI / LLMs / AI/ML.

GenAI / Agentic AI Experience

Candidates should have practical experience with several of the following:

• LLM integration – OpenAI, Anthropic, or open-source models
• Retrieval-Augmented Generation (RAG)
• Prompt engineering
• Vector databases
• AI/LLM evaluation
• AI agents and agent orchestration
• LangChain / LangGraph
• LangSmith / LangFuse or equivalent
• MLflow or similar MLOps tools
• AI/ML cloud services such as AWS Bedrock, Azure OpenAI, or Vertex AI

Additional Skills

• OOP/OOD and data structures & algorithms
• System/application architecture and design
• GitHub / Azure DevOps
• CI/CD and DevSecOps
• SonarQube
• SRE practices
• Cloud infrastructure and microservices
• Infrastructure-as-Code
• Cost-aware / FinOps engineering
• Strong communication and stakeholder-management skills

Education

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline.

Important

Candidates should have hands-on development experience rather than purely theoretical or managerial exposure to AI/GenAI.

Experience: 6–9 years
Locations: Hyderabad / Bangalore / Gurgaon, depending on the position
Travel: Up to 10% may be required

Interested candidates can apply @ [email protected] with their updated resume and mention their current location, total experience, relevant GenAI experience, notice period, current CTC, and expected CTC.

Subject Line : Application for Applied AI Engineer – Full Stack + GenAI + (AWS/Azure/Python) - Indeed.

Application Question(s):

• Notice Period
• Current CTC
• Expected CTC

Work Location: In person