Gen AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop features, address defects, refactor applications, and create automated tests utilizing AI-assisted development tools.

• Utilize Cursor and various coding environments for repository exploration, implementation, debugging, testing, and code reviews.

• Convert product requirements into engineering tasks, technical strategies, and acceptance criteria.

• Take ownership of code quality and delivery readiness, including modifications made by AI models or agents.

• Collaborate with product, engineering, and quality teams to ensure the delivery of reliable software releases.

• Design and maintain prompts, repository instructions, context strategies, and reusable workflows.

• Establish repeatable evaluations for correctness, consistency, requirement coverage, and human intervention needs.

• Create coordinated groups of coding agents for planning, implementation, testing, review, and documentation.

• Develop workflows for task delegation, handover, takeover, and recovery.

• Manage parallel execution, task dependencies, isolated workspaces, and integration conflicts.

• Define tool access, execution boundaries, and human review checkpoints.

• Choose models and tools based on task requirements, quality, latency, and cost.

• Optimize context size, token consumption, model routing, retries, and agent execution overhead.

• Measure development throughput, delivery time, review effort, and AI expenditures.

• Provide weekly and monthly delivery trends, including the number of pull requests raised and merged.

• Share validated practices and reusable tools with the broader engineering team.

⛳️ Requirements

• 0–4 years of relevant experience in software engineering, AI engineering, or applied AI development; academic, personal, and open-source projects are also considered.

• Proficiency in at least one programming language, such as Python, TypeScript/JavaScript, Java, Go, or C#.

• Practical experience applying cutting-edge models, including OpenAI models or Anthropic Claude, in software development.

• Hands-on experience with Cursor or similar AI coding environments.

• Strong skills in prompt engineering, including task decomposition, context preparation, structured outputs, and iterative evaluation.

• Working knowledge of Git, pull requests, debugging, automated testing, APIs, and CI/CD processes.

• Ability to comprehend existing codebases and independently evaluate the correctness of AI-generated code.

• Clear communication skills, collaborative working habits, and a sense of ownership over engineering outcomes.

• Experience in developing workflows with multiple coding agents, including aspects of delegation, handover, and integration (preferred).

• Familiarity with model APIs, tool invocation, Model Context Protocol (MCP), and agent orchestration frameworks (preferred).

• Experience in evaluating prompts and models using defined datasets, acceptance criteria, and automated checks (preferred).

• Background in monitoring AI usage, engineering productivity, and cost efficiency (preferred).

• Exposure to cloud platforms, containers, deployment automation, and application observability (preferred).

• A portfolio of working software showcasing effective use of AI tools, supported by tests and technical documentation (preferred).

🏝️ Benefits

• Flexible and discretionary time off.

• Healthcare coverage for you and your loved ones.

• Retirement savings plan.

• Flexible spending accounts.

• Health savings accounts.

• Life and AD&D insurance.

• Opportunities for professional development.

• Annual bonus may be available.