- Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
- Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery.
- Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
- Contribute to the design and implementation of new products and features while enhancing existing product capabilities.
- Integrate automated testing into development workflows to ensure consistent quality across releases.
- Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.
- Develop comprehensive test strategies covering functional, regression, integration, and performance aspects.
- Mentor other engineers on the team in how to build, maintain, and evolve great AI powered software solutions.
- Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality.
- Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
- 12 years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years experience; or equivalent experience.
- Hands-on depth designing, shipping, and operating agentic systems in production — multi-agent orchestration, tool calling, planning loops, memory, and failure recovery. Not prototypes.
- Production-grade Python. Systems language (Go, Java, or C++) is a plus.
- Working experience with frontier AI SDKs (Anthropic, Google, or OpenAI) — prompt engineering, structured outputs, and model evaluation in production settings.
- Familiarity with RAG and retrieval patterns in production — vector stores, hybrid search, and retrieval evaluation metrics.
- Track record of technical leadership: architecture ownership, code quality bar-raising, and mentoring engineers on production AI practices.
- Comfort operating in fast-moving, ambiguous, startup-like AI product environments with high degree of ownership.
- Experience with multi-agent coordination patterns (A2A, MCP).
- Familiarity with agent frameworks (LangChain, LlamaIndex, or similar).
- Prior experience shipping AI systems in enterprise software.
- Experience with AI observability tooling (tracing, cost tracking, LLM-specific monitoring).
- Strong appetite for continuous incremental wins and completing challenging deliverables fast.
- Build and deliver high-impact software that powers digital experiences for millions of users.
- Collaborate in a culture that values craftsmanship, quality, and innovation.
- Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability.
- Be part of a culture that encourages innovation, continuous learning, and shared success.
For positions in this location, we offer a base pay of $190,900 - $334,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.
We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.
Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
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To be successful in this role you have:
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
- 12 years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years experience; or equivalent experience.
- Hands-on depth designing, shipping, and operating agentic systems in production — multi-agent orchestration, tool calling, planning loops, memory, and failure recovery. Not prototypes.
- Production-grade Python. Systems language (Go, Java, or C++) is a plus.
- Working experience with frontier AI SDKs (Anthropic, Google, or OpenAI) — prompt engineering, structured outputs, and model evaluation in production settings.
- Familiarity with RAG and retrieval patterns in production — vector stores, hybrid search, and retrieval evaluation metrics.
- Track record of technical leadership: architecture ownership, code quality bar-raising, and mentoring engineers on production AI practices.
- Comfort operating in fast-moving, ambiguous, startup-like AI product environments with high degree of ownership.
- Experience with multi-agent coordination patterns (A2A, MCP).
- Familiarity with agent frameworks (LangChain, LlamaIndex, or similar).
- Prior experience shipping AI systems in enterprise software.
- Experience with AI observability tooling (tracing, cost tracking, LLM-specific monitoring).
- Strong appetite for continuous incremental wins and completing challenging deliverables fast.
- Build and deliver high-impact software that powers digital experiences for millions of users.
- Collaborate in a culture that values craftsmanship, quality, and innovation.
- Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability.
- Be part of a culture that encourages innovation, continuous learning, and shared success.
For positions in this location, we offer a base pay of $190,900 - $334,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.
We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.
Compensation is based on the geographic location in which the role is located and is subject to change based on work location. What you get to do in this role:
- Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
- Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery.
- Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
- Contribute to the design and implementation of new products and features while enhancing existing product capabilities.
- Integrate automated testing into development workflows to ensure consistent quality across releases.
- Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.
- Develop comprehensive test strategies covering functional, regression, integration, and performance aspects.
- Mentor other engineers on the team in how to build, maintain, and evolve great AI powered software solutions.
- Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality.
- Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.