Senior Software Engineer, Call Intelligence
ReplicantSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Customer Service, SoftwareIndustries
Requirements
Candidates should possess over 5 years of experience as a Software Engineer, with proficiency in backend technologies, particularly Python. A strong understanding of databases like MongoDB, PostgreSQL, and ElasticSearch, as well as in-memory stores such as Redis, is required. Experience with third-party LLMs (e.g., GPT, Azure, Anthropic), deploying code with strong developer operations, and working with public APIs for integrations is essential. Familiarity with CCaaS, SIP, WebRTC, IVR, and Telephony ecosystems, including VoIP protocols and contact center technologies, is beneficial. A collaborative leadership style to foster team growth and high-quality code delivery is also necessary.
Responsibilities
The Senior Software Engineer will execute the product roadmap for voice experiences, collaborating with stakeholders, product managers, and designers. They will review team code, provide feedback, foster a collaborative community, and mentor team members. Key responsibilities include ensuring the best AI Agent platform experience for internal developers and external partners, and participating in an on-call rotation to address production issues.
Skills
AI
LLMs
Customer Service
Software Engineering
Ada
Automates customer service with AI chatbots
About Ada
Ada provides automated customer experience solutions through AI-powered chatbots that help businesses streamline customer service tasks. The platform operates on a subscription model, allowing companies to automate repetitive tasks and improve customer satisfaction while reducing costs. Ada differentiates itself by offering a comprehensive suite of services, including consulting and managed services, backed by strong venture capital support. The company's goal is to transform customer service management by enhancing efficiency and engagement through automation.
Toronto, CanadaHeadquarters
2016Year Founded
$185.3MTotal Funding
SERIES_CCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees
Risks
Emerging AI chatbot startups pose a threat to Ada's market share.
Rapid AI advancements require continuous updates, straining Ada's resources.
Data privacy regulations could increase compliance costs for Ada.
Differentiation
Ada specializes in AI-driven chatbots for automated customer experience solutions.
The company offers a subscription-based model ensuring steady revenue and client engagement.
Ada provides consulting, development, and managed services to enhance customer support operations.
Upsides
Ada raised $130M in Series C funding, boosting its growth potential.
Partnerships with platforms like Zendesk enhance Ada's integration capabilities.
Growing demand for AI solutions supports Ada's market expansion and client acquisition.
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