Founding Engineer - AI Systems & Product Engineering

Company: Ve – The Intent Company

Location: Hyderabad, Telangana, India (Hybrid)

Experience: Minimum 4 years

Employment: Full-time

Role: Individual Contributor — End-to-End Engineering Ownership

About Ve

At Ve, we’re building a new generation of AI-native software that fundamentally changes how people interact with computers, intelligence, and technology.

We believe the future of software won’t simply respond to instructions. It will understand intent, reason through complex problems, take action, and help people accomplish things that previously seemed impossible.

We’re a small, deeply technical team building at the frontier of artificial intelligence, autonomous agents, and human-computer interaction.

We’re not interested in building another AI wrapper.

We’re interested in building systems that redefine what software can do.

The Opportunity

We’re looking for exceptional Founding Engineers who want to build ambitious technology from the ground up.This is not a conventional software engineering role.

You won’t be joining a large team where responsibilities are narrowly divided and someone else makes all the important decisions.You’ll work directly with the founder and a small group of highly capable engineers.You’ll have significant ownership over architecture, implementation, performance, reliability, and the final product experience.We need engineers who can take a difficult problem, figure out the right approach, build it, ship it, and make sure it actually works. Not just people who write code. People who own outcomes.

What You’ll Own

• End-to-end engineering: Take complex features and systems from initial concept through architecture, implementation, deployment, and production.
• AI-native systems: Build intelligent agents, orchestration systems, model integrations, and autonomous workflows.
• Product engineering: Develop fast, intuitive, reliable experiences across desktop applications, backend services, and AI-powered interfaces.
• Systems architecture: Design scalable, maintainable systems capable of supporting sophisticated, long-running AI operations.
• Performance engineering: Identify bottlenecks, optimize execution, reduce latency, and continuously improve system efficiency.
• Reliability and quality: Build robust error handling, observability, testing, recovery, and verification into everything you ship.
• Technical decisions: Evaluate trade-offs, challenge assumptions, and independently choose the right technologies and approaches.
• Production ownership: Debug difficult problems, investigate failures, and take responsibility for keeping your systems working.

You’ll be expected to understand the bigger picture, not just your assigned component.

What We’re Looking For

Minimum Requirements

• At least 4 years of professional software engineering experience building and shipping real products.
• Exceptional programming ability in at least one modern language such as TypeScript, Python, Rust, Go, or C++.
• Strong fundamentals in computer science, algorithms, data structures, concurrency, and systems design.
• Experience designing, building, and maintaining complex production systems.
• Strong understanding of APIs, distributed systems, databases, and asynchronous architectures.
• Ability to work across frontend, backend, infrastructure, and integrations when needed.
• Excellent debugging skills and the ability to understand unfamiliar codebases quickly.
• Experience making architectural decisions and understanding their long-term consequences.
• Strong engineering judgment around performance, reliability, scalability, and security.
• Ability to work independently, move quickly, and deliver production-ready solutions.

Especially Valuable

• Experience building AI agents, coding agents, or LLM-powered products.
• Experience with Claude, Codex, OpenAI, or other model APIs and agent harnesses.
• Understanding of agent orchestration, parallel execution, tool calling, memory, and context management.
• Experience with Electron, Chromium, desktop applications, or native macOS development.
• Experience building developer tools, IDEs, CLIs, or code intelligence systems.
• Experience with AWS, cloud infrastructure, containers, and distributed execution.
• Contributions to meaningful open-source projects.
• Experience building products from zero to one.

You don’t need to know every technology we use.

But you must be exceptionally good at learning, reasoning, and building….