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
