Gen AI Engineers; Claude code, Codex, Cursor

Accellor is an AI-native services firm focused on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. We help global innovators and Fortune 100 enterprises modernize their architectures, scale operations, and operationalize intelligence across the enterprise.

Our core focus centers on transforming advanced AI from proofs-of-concept into production-grade systems. Spanning AI solutions, robust data services, enterprise applications, and product engineering — we tailor our offerings to the distinct operational needs of industries such as healthcare, life sciences, telecom, retail, financial services, and technology.

Operating as an extension of our clients' teams, we combine design thinking with technology-agnostic architectures to ensure faster time-to-value and seamless system interoperability. From initial strategy to full-scale deployment, we build intelligent, connected ecosystems that drive sustained enterprise value and redefine the future of transformation.

We are looking for a GenAI Engineer to advance how software is designed, built, tested, and delivered using frontier AI models and coding agents.

You will work with models from OpenAI, Anthropic Claude, and other providers, alongside AI development environments such as Cursor. You will combine strong software engineering fundamentals with prompt engineering and agent orchestration to improve development productivity, software quality, and cost efficiency.

This role is suited to engineers who enjoy building working software, evaluating new approaches, and turning successful experiments into reliable engineering practices. Recent graduates with strong projects and demonstrable skills are encouraged to apply.

• Develop features, resolve defects, refactor applications, and create automated tests using AI-assisted development tools.
• Use Cursor and other coding environments effectively for repository exploration, implementation, debugging, testing, and code review.
• Translate product requirements into well-defined engineering tasks, technical approaches, and acceptance criteria.
• Take ownership of code quality and delivery readiness, including changes produced by AI models or agents.
• Collaborate with product, engineering, and quality teams to deliver reliable software releases.

• Design and maintain effective prompts, repository instructions, context strategies, and reusable workflows for software engineering tasks.
• Provide models with the relevant architecture, dependencies, coding standards, constraints, and expected outcomes.
• Establish repeatable evaluations to assess correctness, consistency, requirement coverage, and the need for human intervention.
• Improve prompts and workflows using evidence from test results, code reviews, and delivery outcomes.

• Build coordinated groups of coding agents to support planning, implementation, testing, review, and documentation.
• Design reliable task delegation, handover, takeover, and recovery workflows with clear ownership and shared task state.
• Manage parallel execution, task dependencies, isolated work spaces, and integration conflicts.
• Define appropriate tool access, execution boundaries, and human review checkpoints.
• Ensure agent-produced changes can be traced, reviewed, tested, and integrated into the codebase.

• Select models and tools based on task requirements, quality, latency, and cost.
• Optimize context size, token consumption, model routing, retries, and agent execution overhead.
• Establish baselines and measure improvements in development throughput, delivery time, review effort, and AI expenditure.
• Maintain clear reporting on weekly and monthly delivery trends, including pull requests raised and merged.
• Share validated practices and reusable tools that improve the effectiveness of the wider engineering team.

• 0–4 years of relevant experience in software engineering, AI engineering, or applied AI development. Academic, personal, and open-source projects will also be considered.
• Proficiency in at least one programming language, such as Python, Type Script/JavaScript, Java, Go, or C#.
• Hands‑on experience applying frontier models, including OpenAI models or Anthropic Claude, to software development.
• Practical experience with Cursor or comparable AI coding environments.
• Strong prompt engineering skills, including task decomposition, context…