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Lead development of agentic AI systems, LLM and NLP applications, MCP integrations, scalable data pipelines, and cloud-based client-facing solutions for financial services. Architect distributed systems with strong observability, security, regulatory compliance, and responsible AI controls. Govern AI-assisted software development practices, coach engineering teams, and establish standards for secure coding, testing, validation, and automation. Collaborate with product and business stakeholders to deliver reliable, scalable AI-driven technology.
Top Skills:
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Key Responsibilities
Design, develop, and maintain scalable full-stack applications using modern frameworks (React, Node.js, .NET, or Python).
- Integrate Semantic Kernel to orchestrate AI agent workflows and prompt-based task automation.
- Develop AI-driven microservices that interact with multiple data sources and APIs (RAG/KAG, Azure OpenAI, etc.).
- Implement multi-tenant architectures, role-based access, and data visualization dashboards.
- Collaborate with AI engineers to build intelligent workflows that use embeddings, vector stores, and adaptive reasoning chains.
- Optimize front-end performance and ensure responsive design using modern UI frameworks.
- Manage deployment pipelines using Docker, Kubernetes, and Azure DevOps.
- Write clean, testable, and maintainable code aligned with coding best practices.
- Required Skills and Experience
- 10+ years of experience as a Full Stack Developer.
- Strong programming skills in C#, Python, TypeScript, or JavaScript.
- Experience with Semantic Kernel and AI orchestration frameworks (LangChain, AutoGen, Semantic Kernel, etc.).
- Familiarity with LLM APIs (Azure OpenAI, OpenAI, Anthropic, etc.) and prompt engineering concepts.
- Experience building and deploying microservices and RESTful APIs.
- Proficiency in front-end frameworks like React.js, Next.js, or Angular.
- Strong understanding of cloud services (Azure/AWS) and containerization (Docker, Kubernetes).
- Knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Redis, or Cosmos DB).
- Understanding of data pipelines, vector databases, and embedding models is a plus.
- Nice to Have
- Experience with AI agent frameworks or multi-agent orchestration.
- Knowledge of RAG (Retrieval-Augmented Generation) and document intelligence systems.
- Familiarity with GitHub Copilot, Azure Cognitive Services, and Power Automate AI Builder.
- Exposure to Semantic search, knowledge graphs, or AI-based workflow builders.
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
