- San Francisco
- United States
Salary: $190,000-$285,000
Exp.(in yrs.): 2 - 15
On - Site
Full - time / Direct hire
No Job Hoppers.
Maximum 3 companies in 10 yrs.
Important Notes: A very good opportunity for STEM OPT candidates as well. Client is ready to sponsor for the right candidates. The candidate should be from top tier college and worked in top companies like Google / Meta / Amazon / Microsoft / Netflix or any competitor quant finance company. 5 days a week onsite.
Job Description
About the Role
- This position offers the chance to directly influence the evolution of customer experience through the development of high-impact AI agents. These agents are designed to operate autonomously across multiple industries, from finance to healthcare to travel, delivering reliable support and intelligent action in place of traditional customer service teams.
- You will be joining a group of engineers who focus on delivering real functionality. You will help build systems that not only respond but anticipate, interpret, and resolve complex customer needs. These AI agents handle real transactions and high-sensitivity tasks, from resetting passwords and updating personal details to navigating nuanced account issues or completing bookings.
- This role emphasizes full-cycle ownership. You will take ideas from concept through design and into production. Engineers here work directly with customer-facing teams to gather context, identify pain points, and rapidly prototype improvements that make measurable differences. You will collaborate closely with other engineers, product managers, and operations teams to create agents that are resilient, clear in their logic, and deeply integrated with real-world workflows.
- Design and build AI-driven agents that can outperform human representatives in efficiency, accuracy, and user satisfaction across both voice and chat platforms
- Translate natural language instructions into structured workflows using a unique agent logic framework that blends linguistic flexibility with software-grade precision
- Analyze performance data to uncover trends and identify opportunities for large-scale improvements to both platform capabilities and agent behaviors
- Experiment with the latest advancements in voice and language models, integrating and tuning them for enterprise reliability, responsiveness, and language coverage
- Use real-time observability tools to trace every decision made by an agent, ensuring systems can be audited, understood, and rapidly improved without guesswork
What You Bring:
- At least two years of experience as a professional software engineer, working on production systems with real users
- A high level of fluency in Python and TypeScript, including comfort with asynchronous operations, error handling, and performance tuning
- Strong troubleshooting skills with the ability to dig into complex tech stacks and resolve problems using the best tool for the job, whether that's a profiler, a log aggregator, or raw data inspection
- A proactive mindset and a deep curiosity about how AI agents think, how they fail, and how to make them more intelligent and dependable
- *open on programming language experience. Looking for people who have a computer science degree from a strong school.
- *willing to teach everything someone needs to know about AI.
- Exposure to multimodal AI systems or voice interface development
- Familiarity with enterprise-scale customer experience platforms or conversational automation frameworks
- Interest in designing tools that make agent behavior transparent, especially through visualization, testing, and simulation infrastructure
- This is a role where engineering work has immediate, measurable impact. The systems you build will not only automate routine customer service tasks, they will help redefine how people interact with brands. You will be part of a team that believes great AI should be observable, transparent, and easy to iterate on. Every part of the stack is built for rapid development, detailed debugging, and meaningful improvement.
- The platform architecture encourages experimentation and feedback-driven development. Agent behavior is defined using modular logic blocks that are visible, testable, and versioned. Engineers are empowered to propose and ship changes quickly. No need to wrangle a monolithic prompt or chase down unclear bugs. With tools like Trace View, you will know exactly how an agent made a decision, what data it used, and how long each part of the workflow took.
- You will also be joining at a time of rapid momentum. This team has helped companies dramatically lower support costs, improve satisfaction scores, and handle more customer requests without adding headcount. There is strong market demand, solid product adoption, and a clear path for continued innovation.
- For engineers who care about user experience, robust systems, and responsible AI design, this is an opportunity to build tools that are deeply technical and profoundly human.
- Competitive salary with equity options for long-term ownership
- Comprehensive health benefits including medical, dental, and vision coverage
- Flexible paid time off with a take-what-you-need approach
- Daily lunch and snacks provided at the office
- A highly collaborative, engineer-led culture focused on iteration, learning, and technical excellence
- This is not an opportunity to maintain legacy software or optimize for clicks. It is a chance to help define the interface between people and technology in a world where AI is increasingly the first point of contact.
- You will be building for production, at scale, in collaboration with enterprise teams that rely on these systems every day. If you care about systems that are observable, understandable, and make a real difference for millions of users, this role will give you the platform and resources to do exactly that.