Senior AI Software Engineer

🕒 February 24

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Conversica

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $25M Series E on 2022-04

Artificial Intelligence • B2B • SaaS

Conversica is a leading provider of Conversation Automation solutions, utilizing advanced AI-powered digital assistants to engage in two-way dialog and drive revenue opportunities across marketing, sales, and customer success teams. Their platform leverages natural language processing and large language models, including GPT, to simulate human-like conversations, helping to identify and nurture leads, reactivate opportunities, and maintain customer relationships. Conversica integrates seamlessly into existing technology stacks, allowing businesses to scale their efforts and unlock hidden revenue across multiple industries.

📋 Description

• Design, implement, and ship AI-driven features and systems into production environments • Lead technical decision-making for AI architecture, data modeling, and system integration within your domain • Partner closely with Product, Engineering, and other stakeholders to translate business needs into scalable technical solutions • Identify and address reliability, scalability, performance, and observability challenges in AI systems • Implement and advocate for best practices for applied AI engineering, including agent evaluation, interpretability, data layer design, and monitoring • Mentor and guide other engineers, raising the bar on AI engineering quality and decision-making • Provide input into technical strategy and roadmap discussions related to AI capabilities and platform evolution

🎯 Requirements

• Equivalent of 5+ years of professional software engineering experience, with significant focus on applied AI • Proven experience deploying LLM-powered systems/applications in production environments • Strong proficiency in Python, and experience building production LLM applications (agents/tool use, retrieval, evals, monitoring) • Experience working with large datasets and navigating real-world data quality challenges • Strong system design, problem-solving, and architectural decision-making skills • Experience working with agent architectures, tool interfaces, and orchestration patterns • Desire to continually follow and experiment with cutting-edge AI technologies and tooling for use across all phases of the software development lifecycle (i.e., during design, analysis, coding, deployment, QA, etc.) • Strong background in modern cloud-based architectures

🏖️ Benefits

• Comprehensive health, dental, and vision benefits • PTO • Holiday pay • 401(k) • Equity