coding agents Jobs
6 open roles mentioning coding agents
Staff Software Engineer, AI Developer Experience
Asana
Asana is seeking a Staff Software Engineer to enhance our AI developer experience, enabling engineers to boost their productivity with AI. You will be instrumental in shaping the technical direction and developing advanced AI-powered tools for editors, IDEs, CLIs, code review, and coding agents. This role is based in our New York City office and follows an office-centric hybrid schedule, with specific in-office days outlined during the interview process.
$248k - $282k
Member of Technical Staff, Coding Agents
Handshake AI
Handshake is seeking a Member of Technical Staff to define how frontier coding agents are benchmarked and improved. This is a high-ownership role for researchers who build, partnering with top AI researchers and software engineers to develop new benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques focused on AI for Coding. You will tackle core questions in frontier AI progress, including what to measure, how to design effective evaluations, create high-signal feedback, and build actionable data systems. As an early member, you will have significant influence over the team's technical direction, operating culture, and the open-source software, benchmarks, and research products developed.
$200k - $350k
Founding Engineer
Dataleap
Dataleap is seeking a highly autonomous engineer to operate at a CTO level, taking vague problems and building end-to-end solutions that deliver tangible value. This role is backend-heavy and AI-native, with the expectation of full-stack capabilities when necessary. The ideal candidate thrives in ambiguity, requires no hand-holding, and is driven to ship impactful products without waiting for detailed specifications. This is a unique opportunity to be a founding engineer and shape the future of an enterprise agentic operating system.
$120k - $250k
Software Engineer, AI Product Security
Notion
Notion is seeking an experienced engineer to establish the security foundations for its AI products. This role involves collaborating with product and engineering teams to address security aspects of agent runtimes, tool permissions, retrieval, content writes, observability, and abuse-resistant design. The engineer will translate product risks into robust architecture, reusable guardrails, automated tests, and production systems to ensure safe feature releases. This position is based in San Francisco, with a hybrid work arrangement requiring in-office presence on Mondays, Tuesdays, and Thursdays.
$270k - $340k
Senior Software Engineer (AI Products)
Mutiny
Mutiny is building an AI infrastructure for GTM teams to execute faster and close more revenue, aiming to do for revenue velocity what Cursor and Claude Code did for engineering velocity. The company recently relaunched its product as an agent-first platform, gaining recognition from Anthropic and experiencing significant month-over-month MRR growth with notable customers. Backed by prominent investors, Mutiny is focused on building a generational company. As a Senior Engineer on the AI Product team, you will architect and develop core agent experiences, making non-deterministic AI models trustworthy and reliable for users. This role involves close collaboration with product, design, and founders to shape the future of an agent-first GTM platform, with a strong emphasis on architecture, evaluation, and guardrails. The position is based in New York City, requiring a five-day-a-week in-office presence, with a weekly shipping cadence.
Principal ML Investigator
Cerebras
Cerebras Systems is seeking a Principal Investigator to lead a new Machine Learning (ML) team focused on innovative AI efforts. This role involves partnering with ML leaders to define the team's direction, build its capabilities, and coordinate with existing ML teams (Field ML, Applied ML, Core ML). The new team will explore critical areas such as post-training and reinforcement learning, dataset curation and optimization, LLM pretraining, sparsity techniques, and various AI domains including coding agents and generative language models.