Software Engineer

Reference: 129194Role Title: Number of vacancies: Backend Engineer / Product EngineerBackend engineering is the immediate priority.Applied AI graduate candidates also welcomed (need to qualify more)Initially 2–3 hires, with scope to expand the partnership based on candidate quality.Location: WFH Policy: Relocation: Right to work:San Francisco. Exact office location and any flexibility to be confirmed.Visa sponsorship available for exceptional candidates. Specific visa routes to be confirmed.To be confirmed. Candidates must be comfortable with an intensive startup environment, including occasional weekend workAbout Wajo:Wajo builds proactive, selflearning action agents that go beyond recommendations and complete real-world tasks. Fo (core product), their first consumer agent, can book appointments, coordinate vendors, handle travel changes, place orders, and also hire agenthuman teams to do things it can’t. Teams can also build agents for business operations and customer care.Earlystage AI company led by Shivani, whose background includes engineering leadership at Google DeepMind. The team includes engineers from Google, Amazon and other leading technology companies.The company is expanding its engineering team and targeting exceptionally strong, handson engineers. Funding is in place, although the amount, stage and details were not disclosed.Role responsibilities:Build and ship backend systems and product features, taking ownership from initial requirements through launch.Develop infrastructure that supports the company’s next stage of growth.Solve technical problems independently and deliver quickly.Maintain a strong focus on security and protecting customer information.For product engineering hires, develop a deep understanding of the product and contribute to user growth.Specific projects, deliverables and first 30/60/90day expectations to be confirmed.Team Structure: Reporting Lines:Flat engineering organisation with substantial individual ownership. To be confirmed. Rianna Zhou, Chief of Staff, is the initial recruitment contact. Shivani conducts the final founder interview.Essentials skills & experience: Exceptional handson engineering ability, with strong coding, problem-solving and technical reasoning.Ability to own substantial features or systems independently, end to end.Strong backend and infrastructure capability for the immediate priority hires.Golang experience, engineers can interview in whatever language they like but must use Golang when joiningHigh drive, speed of execution and comfort with startup ambiguity and workload.Security awareness and care for customer data.Ability to demonstrate technical depth in interviews, beyond an impressive CV.Desirable skills & experience:Experience building and operating systems at significant scale. The founding engineering team specifically highlighted this preference.Experience combining strong engineering standards from Big Tech with startup pace and ownership.Earlystage or founding engineering experience.Strong academic background from a leading university, although this is not a requirement.Applied AI experience.Product judgement and experience building features that support user growth.Salary:Not disclosed. Rianna described compensation as highly competitive among startups, with internal guidelines based on candidate level.Sell of the role:Work directly with Shivani, whose background includes Google DeepMind engineering leadership.Join one of the most ambitious technically teams with experience at leading technology companies.Take substantial ownership of features, infrastructure and launches.Help shape an earlystage AI product as the business scales.Competitive startup compensation and equity.Fast interview process, potentially reaching an offer within one week.Interview process: Submission process:Initial screening with Rianna.Coding / algorithms interview, described as LeetCodestyle.Infrastructure / system design assessment and further technical or product deep dive, tailored to the role.Final founder interview with Shivani.Typically 2–3 technical interviews between the initial screen and founder conversation. Interviews may be approximately 30 minutes each and can be grouped on the same day. Strong candidates may receive an offer within one week.Candidates can use their preferred coding language. AI tool usage and any onsite or work-trial requirement to be confirmed. The process remains flexible as the company develops its hiring approach.Submit qualified CVs to Rianna with a concise overview covering technical achievements, suitability, motivation and practical requirements.A shared Slack channel was agreed as the communication route.Start date:Hiring is urgent. Individual start dates depend on candidate availability and notice periods. Terms and partnership type agreed:25% contingentRole Title: Number of vacancies: Backend Engineer / Product EngineerBackend engineering is the immediate priority.Applied AI graduate candidates also welcomed (need to qualify more)Initially 2–3 hires, with scope to expand the partnership based on candidate quality.Location: WFH Policy: Relocation: Right to work:San Francisco. Exact office location and any flexibility to be confirmed.Visa sponsorship available for exceptional candidates. Specific visa routes to be confirmed.To be confirmed. Candidates must be comfortable with an intensive startup environment, including occasional weekend workAbout Wajo:Wajo builds proactive, selflearning action agents that go beyond recommendations and complete real-world tasks. Fo (core product), their first consumer agent, can book appointments, coordinate vendors, handle travel changes, place orders, and also hire agenthuman teams to do things it can’t. Teams can also build agents for business operations and customer care.Earlystage AI company led by Shivani, whose background includes engineering leadership at Google DeepMind. The team includes engineers from Google, Amazon and other leading technology companies.The company is expanding its engineering team and targeting exceptionally strong, handson engineers. Funding is in place, although the amount, stage and details were not disclosed.Role responsibilities:Build and ship backend systems and product features, taking ownership from initial requirements through launch.Develop infrastructure that supports the company’s next stage of growth.Solve technical problems independently and deliver quickly.Maintain a strong focus on security and protecting customer information.For product engineering hires, develop a deep understanding of the product and contribute to user growth.Specific projects, deliverables and first 30/60/90day expectations to be confirmed.Team Structure: Reporting Lines:Flat engineering organisation with substantial individual ownership. To be confirmed. Rianna Zhou, Chief of Staff, is the initial recruitment contact. Shivani conducts the final founder interview.Essentials skills & experience: Exceptional handson engineering ability, with strong coding, problem-solving and technical reasoning.Ability to own substantial features or systems independently, end to end.Strong backend and infrastructure capability for the immediate priority hires.Golang experience, engineers can interview in whatever language they like but must use Golang when joiningHigh drive, speed of execution and comfort with startup ambiguity and workload.Security awareness and care for customer data.Ability to demonstrate technical depth in interviews, beyond an impressive CV.Desirable skills & experience:Experience building and operating systems at significant scale. The founding engineering team specifically highlighted this preference.Experience combining strong engineering standards from Big Tech with startup pace and ownership.Earlystage or founding engineering experience.Strong academic background from a leading university, although this is not a requirement.Applied AI experience.Product judgement and experience building features that support user growth.Salary:Not disclosed. Rianna described compensation as highly competitive among startups, with internal guidelines based on candidate level.Sell of the role:Work directly with Shivani, whose background includes Google DeepMind engineering leadership.Join one of the most ambitious technically teams with experience at leading technology companies.Take substantial ownership of features, infrastructure and launches.Help shape an earlystage AI product as the business scales.Competitive startup compensation and equity.Fast interview process, potentially reaching an offer within one week.Interview process: Submission process:Initial screening with Rianna.Coding / algorithms interview, described as LeetCodestyle.Infrastructure / system design assessment and further technical or product deep dive, tailored to the role.Final founder interview with Shivani.Typically 2–3 technical interviews between the initial screen and founder conversation. Interviews may be approximately 30 minutes each and can be grouped on the same day. Strong candidates may receive an offer within one week.Candidates can use their preferred coding language. AI tool usage and any onsite or work-trial requirement to be confirmed. The process remains flexible as the company develops its hiring approach.Submit qualified CVs to Rianna with a concise overview covering technical achievements, suitability, motivation and practical requirements.A shared Slack channel was agreed as the communication route.Start date:Hiring is urgent. Individual start dates depend on candidate availability and notice periods. Terms and partnership type agreed:25% contingent