Full Stack AI Manager
Description
Experience : 10 to 13 years
Location : Bangalore & Hyderabad
Skills : (.Net/C#) + (Angular/React) + (Azure) + (AI/ML / Generative AI GenAI / LLMs / agents / assistants)
Required Qualifications :
- 10+ years of full-stack software engineering experience with most of the following : Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit and integration testing frameworks.
- 3+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
- 3+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (FinOps accountability).
- Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
- Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to deliver high-quality products rapidly.
Skills
- Agentic AI
- AI
- Angular
- Anthropic
- AWS
- AWS Bedrock
- Azure
- Cloud
- Cloud Native
- C#
- DevSecOps
- .NET
- FinOps
- GCP
- Generative AI
- GitHub
- Infrastructure as Code
- Integration Testing
- Java
- LangChain
- Langfuse
- LangGraph
- LangSmith
- LLM
- Machine Learning
- MLflow
- Node.js
- NoSQL
- OOP
- OpenAI
- Prompt Engineering
- Python
- PyTorch
- React
- SonarQube
- SQL
- SRE
- TensorFlow
- Vector Databases
- Vertex AI