Conversica3mo ago

Staff AI Software Engineer

United StatesRemoteFull-timelead

Data ScienceOtherSoftware EngineerAi Software EngineerSoftware Engineering

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Quick Summary

Overview

Conversica is seeking a Staff AI Software Engineer to design, build, and scale production-grade AI systems that deliver direct customer and business value.

Technical Tools

Data ScienceOtherSoftware EngineerAi Software EngineerSoftware Engineering

Conversica is seeking a Staff AI Software Engineer to design, build, and scale production-grade AI systems that deliver direct customer and business value. This senior individual contributor role emphasizes pragmatic, product-focused, customer-driven thinking, with a focus on translating real-world problems into reliable, maintainable, and scalable AI-driven solutions.

This role operates with a high degree of autonomy and technical influence, shaping AI and systems architecture, engineering standards, and best practices across the organization.

Design, implement, and ship AI-driven features and systems into production environments

Own technical decision-making for AI architecture, data modeling, and system integration

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

Establish and evolve best practices for applied AI engineering, including agent evaluation, interpretability, and reliability, data layer design, monitoring, explainability, and continuous improvement

Mentor and guide other engineers, raising the bar on AI engineering quality and decision-making

Contribute to technical strategy and roadmap discussions related to AI capabilities and overall platform evolution

Agentic system design: orchestration, tool use, state/memory, multi-step workflows

Evals + quality: harnesses, regression tests for prompts/agents, online/offline metrics, iteration loops

Guardrails: hallucination mitigation, grounding, HITL review, safe degradation paths

Production operations: cost/latency tradeoffs, caching, rate-limits, fallbacks, observability, incident response

Retrieval + data foundations: RAG choices, indexing, freshness, data quality constraints, data layer design

Equivalent of 8+ 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 designing 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.

Experience applying AI solutions in a B2B SaaS environment

Experience interacting with data from Marketing Automation Platforms (MAPs), Customer Resource Management Systems (CRMs), and Customer Data Platforms (CDPs)

Experience deploying AWS infrastructure, and production use of Terraform, EKS, Postgres, MySQL, Datadog, and GitLab

We care about what you’ve built, not where you learned it. If you’ve shipped strong software, led technical decisions under ambiguity, contributed to open source, written thoughtful technical work, or built impressive projects with modern LLM tooling - put that front and center. Show us what you've built, what problems you've wrestled with, and how you reason about tradeoffs in systems that combine LLMs with real-world constraints.

Listing Details

Posted: January 17, 2026
First seen: March 26, 2026
Last seen: April 24, 2026

Posting Health

Days active: 29
Repost count: 0
Trust Level: 32%
Scored at: April 24, 2026

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Conversica

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Conversica is a US-based cloud software technology company that provides AI-driven conversational software and Intelligent Virtual Assistants for businesses to engage customers. Their Revenue Digital Assistants™ automate and optimize revenue-generating workflows across marketing, sales, and customer success.

Employees

125

Founded

2007

Domain

Jobs

External application · ~5 min on Conversica's site

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