Senior Product Software Engineer- AI

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 AIbased 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