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.
- Robust 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

📌 Applied AI Engineer – Full Stack + GenAI (Bengaluru)
🏢 Clarus Advisers
📍 Bengaluru