About the Company
Our client is transforming how small businesses handle customer calls through an AI-powered voice system that works out of the box. Their platform answers calls 24/7, books appointments, and handles customer requests automatically, no coding or complex setup required. Founded by experienced entrepreneurs with deep expertise in AI and business operations, the company has built a solution that captures revenue businesses were leaving on the table, with over 1,000 customers already seeing results. As they scale across restaurants, dental practices, HVAC companies, cleaning services, and call centers, they're building a category-defining product in a massive, underserved market.
The Opportunity
As a Solutions Implementation Engineer, you will step into a high-ownership role where you directly shape how AI is deployed and scaled across real-world businesses. You will work closely with the CTO and a senior engineering team, defining integration architecture, delivery approaches, and technical standards in a growing AI startup. This role lets you combine deep backend engineering with strategic, stakeholder-facing work, building integrations that are central to customers’ revenue operations and how large accounts and partners adopt AI at scale.
What You'll Do
- Support the Enterprise Integrations team in managing and executing integration processes from design to deployment
- Collect and define requirements from internal stakeholders, estimate task complexity, and plan delivery timelines
- Design and implement reliable, scalable integration solutions using Python, REST, gRPC, Apache Kafka, Redis, and SQL
- Conduct regular code reviews and maintain a consistent, high-quality code base
- Strictly follow delivery deadlines, ensuring production readiness and technical excellence
- Monitor and stabilize integrations post-deployment using observability tools like Grafana
- Actively identify and resolve blockers to maintain project momentum, demonstrating a proactive “get things done” approach
What You Bring
- 4+ years of hands-on backend development experience
- Strong technical toolkit including Python (FastAPI), REST, gRPC, SQL, Apache Kafka, Redis, and Postman
- Experience designing and implementing robust, scalable integration solutions with external partners and service providers
- Background as a backend engineer with solid understanding of event-driven and asynchronous architectures
- Familiarity with Agile/Scrum processes and tools such as YouTrack and Grafana
- Proven stakeholder management and scope-control skills
- Strong communication, prioritization, and time-management abilities, consistently delivering results under tight deadlines
- English language B2+ (writing and speaking)
- Fluency in Russian B2+
Key Attributes to Success
- Strong “get things done” mindset and ability to ship under tight deadlines
- High autonomy and sense of ownership, comfortable making independent decisions
- Strong communication skills and commitment to customer success
- Passion for technology that changes how businesses operate
Why Join?
- Base Compensation: $5,500-$7,500 USD per month (negotiable based on experience)
- Employment Type: contract (1099)
- Remote-first flexibility: fully remote role with working hours aligned to 9:30 AM – 6:30 PM UTC
- High-impact role: your help determine how partners and customers realize value from AI employees, with clear revenue and performance outcomes attached to your work
- Cutting-edge AI product: contribute to a platform that lets businesses and agencies deploy voice and chat AI employees in minutes across multiple channels and tools
- Fast-moving startup environment: work in a lean, engineering-led organization that values speed, ownership, and pragmatic problem-solving over process for process’s sake
- Join a company founded by proven entrepreneurs with a track record of building successful, globally-adopted technology solution
Interviewing Process
- HR Screening
- Level 1: 45-60-minute video interview with the Hiring Manager
- Level 2: Take-home assignment or technical interview
- Level 3: 60-minute video interview with CTO
- Reference and Background Checks: conducted after successful interviews
- Job Offer: provided to the selected candidate
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
