Senior Product Software Engineer (C#/ .NET Core / Gen AI / Angular OR Javascript OR Typescript OR React)

Senior Product Software Engineer

Experience: 6.5 to 10 years

Job Summary:

We are seeking a highly skilled Senior Software Developer with strong hands-on experience in Generative AI and Agentic Workflow development. The ideal candidate will have a proven track record of building real-world, production-grade AI solutions using LLMs, multi-agent systems, and AI automation frameworks, with a strong emphasis on security, scalability, and cost optimization. Experience in Tax, Finance, or Banking domains is highly preferred.

Key Responsibilities

• Design, develop, and maintain Generative AI–based applications and Agentic Workflows

• Build and orchestrate multi-agent systems leveraging Large Language Models (LLMs)

• Implement Retrieval Augmented Generation (RAG) pipelines, embeddings, and vector search solutions

• Ensure AI security best practices, including data privacy, access control, and prompt safety

• Optimize LLM usage and operational costs through token optimization, caching, batching, and model selection strategies

• Architect and deliver scalable, cloud-native AI solutions for production environments

• Collaborate with product, business, and domain teams to deliver domain-specific AI solutions

• Participate in architecture and design reviews, mentor and guide junior engineers

• Implement monitoring, logging, and observability for AI systems in production

 Required Skills & Qualifications

• 6.5 - 10 years of total software development experience in the IT industry.

• 1–2+ years of hands-on experience in Agentic AI / AI Workflow development.

• Strong expertise in building enterprise-scale web and GenAI solutions using .NET technologies (C#, ASP.NET, .NET Core) with solid OOP fundamentals.

• Hands-on experience developing modern, responsive front-end applications using (Angular/React/Javascript/Typescript)

• Proficiency HTML5, CSS, and UI frameworks.

• Hands-on experience with Generative AI and LLM platforms such as Azure OpenAI, OpenAI, Anthropic, etc.

• Solid understanding of Generative AI fundamentals, including:

  • Prompt engineering

  • Retrieval Augmented Generation (RAG)

  • Embeddings and vector databases

• Experience building Agentic Workflows / Agent-based systems (AI orchestration knowledge is a plus)

• Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot)

• Strong experience with cloud platforms, preferably Microsoft Azure (AWS/GCP acceptable)

• Solid understanding of scalable system design (Microservices, REST APIs, Cloud-native architectures)

• Proven experience implementing cost-optimized GenAI solutions, including:

  • Token usage optimization

  • Model selection and fallback strategies

  • Caching and batching techniques

• Experience with CI/CD pipelines, DevOps practices, and production deployments

Preferred Qualifications

• Domain experience in Tax, Finance, or Banking, particularly in compliance-driven systems

• Experience delivering enterprise-scale, production-grade AI solutions

• Familiarity with governance, compliance, and responsible AI practices

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process