Full Stack - Forward Deployed AI Product Engineer (.NET & React, Agentic AI-Enabled SDLC)

Full Stack / Forward Deployed AI Product Engineer (.NET & React, Agentic AI-Enabled SDLC) – Onsite (NJ, NYC), USA Position Overview We are seeking a highly capable Full Stack Software Developer with strong expertise in .NET (backend) and React (frontend), combined with hands-on experience in AI-assisted software development and agentic automation. This role operates as a forward deployed product engineer — sitting close to the business, translating real problems into working software, and playing a critical part in advancing our AI-driven SDLC by working closely with our internal AI team to refine frameworks, accelerate delivery, and improve software quality. The ideal candidate brings practical experience with AI-native tools such as Claude Code, Cursor, Azure AI Foundry, Cowork, and agentic AI services, and a strong understanding of how AI agents can be embedded across the software development lifecycle to drive efficiency and innovation. Equally important is product sense — the judgment to decide what is worth building, not just how to build it. We are looking for a professional who has already deployed AI automations in production, is motivated to deepen hands-on AI skills, stays ahead of the rapidly evolving AI landscape, and treats AI-driven development as a career accelerator. This is a Product + Engineering hybrid role. You will be embedded directly with stakeholders, own outcomes end to end, and be measured on the automations and products you ship. Work Environment Location: Onsite, United States - 3 days per week in-office across NJ (Summit) and NYC (Midtown) Offices. Engagement Model: High-touch collaboration with AI, Product, and Engineering teams Focus: Driving enterprise adoption of AI-enabled software development practices Role Type: Product + Engineering hybrid — Forward Deployed AI Product Engineer. KEY RESPONSIBILITIES:Full Stack Development; Design, develop, and maintain scalable applications using .NET (C#, APIs, backend services) and React (modern frontend frameworks). Build responsive, high-performance user interfaces and robust backend services. Ensure code quality, performance optimization, and adherence to enterprise architecture standards. AI-Driven SDLC Enablement; Apply AI tools (e.g., Cursor, Claude Code) to accelerate development, including code generation, debugging, and documentation. Integrate AI across SDLC phases—requirements, design, coding, testing, and deployment. Leverage structured AI SDLC frameworks (e.g., BMAD or similar) to optimize development workflows. Contribute to evolving best practices for AI-assisted engineering. Agentic Automation & AI Engineering; Design, build, and deploy AI agents that automate real engineering and business workflows end to end — not just assist with them. Automate coding agents: orchestrate Claude Code and similar agentic tools into repeatable, reviewable pipelines — scaffolding, refactors, test generation, migrations, and documentation. Build multi-step agent workflows with tool use, context management, evaluation, and guardrails. Own the full automation lifecycle: identify the manual process, automate it by building AI agents, measure the time and cost saved, and harden it for production. Drive AI innovation — prototype rapidly with emerging AI-native tools and bring the ones that work into the organization’s standard practice. Forward Deployed Product Engineering; Embed directly with business, product, and end-user stakeholders to understand the problem before writing code. Apply product sense to scope, sequence, and prioritize work — ship the smallest thing that solves the real problem. Move quickly between discovery, prototype, and production; demo working software rather than writing specs about it. Own outcomes end to end: requirements, build, deployment, adoption, and measurable business impact. Framework Collaboration & Innovation; Work alongside the internal AI team to refine, validate, and pressure-test existing AI development frameworks. Help define and shape the organization’s AI-driven development approach in real time. Participate in pilot programs, experimentation, and continuous improvement initiatives. Solution Design & Business Alignment; Translate business requirements into scalable, secure, and maintainable technical solutions. Collaborate with product owners, architects, and business stakeholders to ensure alignment and clarity. Provide input on system design, architecture, and technical trade-offs. Onsite Execution & Agile Delivery; Operate onsite in the USA to enable rapid feedback loops and faster decision-making. Support iterative delivery, quick prototyping, and continuous alignment with stakeholders. Participate in Agile ceremonies and cross-functional collaboration.  Required Qualifications; Bachelor’s degree in Computer Science, Engineering, or equivalent experience. 5+ years of experience as a Full Stack Developer. Strong proficiency in:  .NET / C# / ASP.NET Core React / JavaScript / TypeScript Experience building and consuming RESTful APIs and microservices architectures. Hands-on experience with AI-assisted development tools such as Claude Code or Cursor — used beyond autocomplete, as agents that execute multi-step work. Demonstrated drive to continuously build AI skills and apply them in day-to-day engineering work. Strong understanding of modern SDLC practices (Agile, DevOps, CI/CD). Hands-on experience with AI-native tools and platforms such as Claude Code, Azure AI Foundry, Cowork, and agentic AI services. Demonstrated experience deploying AI automations into production — with specific examples of what was automated and the impact delivered. Proven ability to automate AI functions and coding agents: prompt and context engineering, agent orchestration, tool/MCP integration, and evaluation. Strong product sense — able to question requirements, prioritize ruthlessly, and make judgment calls on what to build. Comfort operating as a forward deployed engineer: stakeholder-facing, ambiguous problems, high autonomy, fast feedback loops.  Preferred Qualifications; Experience with AI SDLC frameworks (e.g., BMAD or equivalent). Exposure to prompt-driven development and automated code generation workflows. Experience contributing to enterprise-scale framework or platform development. Familiarity with cloud platforms (Azure, AWS) and modern DevOps pipelines. Experience at leading technology or Fortune-scale companies such as Microsoft, Google, Capital One, ServiceNow, or Walmart — or a track record of operating at that level. Master’s degree in a technical field from a US university, or an MBA on top of a technical foundation. 3–5 years of experience in a solution architect capacity, or a technically strong product/program/project management background moving deeper into AI-enabled engineering. Experience building agent frameworks, MCP servers/tools, or internal AI platforms used by other engineers. Track record of AI innovation — internal tooling, hackathon wins, open source contributions, or published work on agentic systems. Experience in a forward deployed engineer, solutions engineer, or founding engineer capacity at an AI or high-growth product company. Experience shipping products where you also owned the product decision, not only the implementation.  Key Competencies; Strong problem-solving and analytical skills Ability to work in fast-paced, evolving AI-driven environments Excellent communication and cross-functional collaboration skills Adaptability and eagerness to learn emerging AI technologies Ownership mindset with focus on outcomes and delivery Product sense — strong instincts for user needs, prioritization, and what “done” should actually mean. Agentic thinking — defaults to “can an agent do this repeatedly?” instead of doing it manually. Comfort with ambiguity and direct stakeholder exposure as a forward deployed engineer.