Staff AI Software Engineer at Conversica

, , United States -

Full Time

Start Date

Immediate

Expiry Date

17 Apr, 26

Salary

0.0

Posted On

17 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Systems, Software Engineering, Python, LLM Applications, Data Modeling, System Integration, Cloud Architectures, Agent Architectures, Monitoring, Scalability, Performance, Observability, Technical Strategy, Mentoring, Problem Solving, Architectural Decision-Making

Industry

Software Development

Description

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. \n Key Responsibilities 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 What You’ll Build 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 Qualification & Experience 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. Preferred / Nice-to-Have Experience 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 What We Value 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. \n Conversica is a remote-first company building AI-powered solutions that help businesses engage customers more effectively. You’ll work alongside thoughtful product and engineering partners, influence the direction of applied AI across the platform, and help turn emerging AI capabilities into durable, customer-ready systems. This is a full-time, exempt position. Our compensation reflects the cost of labor across several U.S. geographic markets and is based on role scope, experience, and job-related skills. Conversica offers comprehensive health, dental, and vision benefits, PTO, holiday pay, 401(k), and equity.

Responsibilities

The Staff AI Software Engineer will design, implement, and ship AI-driven features into production environments while owning technical decision-making for AI architecture and system integration. They will also mentor other engineers and contribute to the technical strategy related to AI capabilities.