Note: The job is a remote job and is open to candidates in USA. Mimic builds cybersecurity products that enforce a known-good state across enterprise server environments. The Product Engineer (AI) builds full-stack customer-facing products and AI-powered capabilities, owning development from ideation through launch and iterating with customers and cross-functional teams.
Responsibilities
- Build Full-Stack Products: Design, build, and ship customer-facing features across the stack for both established and early-stage products. Take ideas from concept to production with a focus on speed, quality, and customer impact
- Develop AI-Powered Experiences: Build and integrate AI-native capabilities, including LLM-powered workflows, AI agents, and intelligent automation designed for enterprise environments
- Own Product Development: Drive technical execution across the entire product lifecycle—from prototyping and architecture decisions to implementation, testing, and deployment
- Design Reliable AI Systems: Build systems that coordinate AI models, tools, and workflows while optimizing for reliability, latency, scalability, and production correctness
- Experiment and Iterate Quickly: Analyze real-world product behavior, gather customer feedback, and continuously improve AI experiences through experimentation, evaluation, and rapid iteration
- Collaborate Cross-Functionally: Partner closely with engineering, design, product, sales, and customers to understand requirements and deliver scalable solutions that solve real-world problems
- Build for Enterprise Scale: Design products that are secure, reliable, and scalable for large enterprise customers across complex IT environments
- Solve Customer Problems: Engage directly with customers and internal stakeholders to gather feedback, identify pain points, and translate them into thoughtful product experiences
- Improve Engineering Velocity: Establish and refine development workflows, tooling, and processes that enable rapid iteration and high-quality product delivery
- Drive Technical Decisions: Evaluate technologies, make architectural trade-offs, and contribute to product strategy in a fast-moving startup environment
- Own Outcomes: Take ownership of your work from ideation to launch, balancing customer needs, technical excellence, and business objectives
Skills
- 5+ years of software engineering experience, ideally building full-stack products in startup or high-growth environments
- Strong full-stack engineering skills with experience building production-grade applications and shipping customer-facing products
- Experience building or integrating AI-powered products, including familiarity with AI agents, LLM-based applications, orchestration frameworks, or intelligent workflows
- Experience building products for enterprise environments, with an understanding of scalability, security, and complex customer requirements
- Strong product mindset—you enjoy working closely with customers and cross-functional teams to build products that solve meaningful problems
- Excellent communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders
- Experience working across the product development lifecycle, from rapid prototyping to production deployment and iteration
- Experience building AI agents or agentic systems for enterprise applications
- Experience with AI orchestration frameworks and agent execution systems
- Experience designing evaluation, experimentation, or feedback-loop systems for AI-powered products
- Experience building products at an early-stage startup or as one of the first engineering hires on a new product team
- Experience designing and shipping AI-native user experiences that leverage modern LLM technologies
Benefits
- Autonomy
- Strong mentorship
- A fun, collaborative culture
- Remote flexibility
- Quarterly off-sites
- Meaningful equity
Company Overview
Company H1B Sponsorship