Senior AI Software Engineer

1 month, 3 weeks ago
Full-time
Senior
Software Development
Conversica - Powerfully Human - Revenue Digital Assistants

Conversica - Powerfully Human - Revenue Digital Assistants

Conversica provides Revenue Digital Assistants powered by AI for engaging and converting leads into sales opportunities through human-like email conversations.

Media
51-250
Founded 2007
$132M raised

Description

  • Design, implement, and ship AI-driven features and systems into production environments.
  • Lead technical decisions for AI architecture, data modeling, and system integration within the domain.
  • Partner 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 best practices for applied AI engineering, including agent evaluation, interpretability, data layer design, and monitoring.
  • Mentor and guide other engineers to improve AI engineering quality and decision-making.
  • Contribute to technical strategy and roadmap discussions for AI capabilities and platform evolution.
  • Design agentic systems with orchestration, tool use, state/memory, and multi-step workflows.
  • Build evaluation and quality systems such as harnesses, regression tests, and online/offline metrics.
  • Implement production operations practices including caching, rate limits, fallbacks, observability, and incident response.

Requirements

  • Equivalent of 5+ years of professional software engineering experience, with significant focus on applied AI.
  • Proven experience deploying LLM-powered systems or applications in production environments.
  • Strong proficiency in Python and experience building production LLM applications involving agents, tool use, retrieval, evals, and monitoring.
  • Experience working with large datasets and real-world data quality challenges.
  • Strong system design, problem-solving, and architectural decision-making skills.
  • Experience with agent architectures, tool interfaces, and orchestration patterns.
  • Desire to continually follow and experiment with cutting-edge AI technologies and tooling across the software development lifecycle.
  • Strong background in modern cloud-based architectures.
  • Experience applying AI solutions in a B2B SaaS environment is preferred.
  • Experience with data from MAPs, CRMs, and CDPs is preferred.
  • Experience deploying AWS infrastructure and using Terraform, EKS, Postgres, MySQL, Datadog, and GitLab in production is preferred.

Benefits

  • Remote-first work environment.
  • Comprehensive health, dental, and vision benefits.
  • PTO and holiday pay.
  • 401(k) retirement plan.
  • Equity compensation.
  • Full-time, exempt position.
  • Compensation aligned to role scope, experience, and job-related skills across U.S. markets.

Interested in this position?

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