[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![Salesloft logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/03/8f0ff4d3ba38b945acfa9bbe11e39be1.jpeg)](https://jobicy.com/company/salesloft.md)Remote opportunity at[Salesloft](https://jobicy.com/company/salesloft.md) # Principal Software Engineer, AI Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/salesloft.md)Share25 Sep 2026Published39Listing views1Application actions25 Oct 2026Apply before Opportunity details ## About this role. AI SummarySalesloft is hiring a Principal Software Engineer, AI to set the architecture and technical direction for production AI capabilities within its Predictive Revenue System. The role centers on scalable model serving, LLM-powered features, agentic workflows, evaluation frameworks, guardrails, and observability for probabilistic systems. This is a senior individual-contributor position that requires end-to-end ownership of ambiguous, research-adjacent engineering problems and influence across engineering, product, data science, and data platform teams. The successful candidate will establish AI engineering standards, mentor senior engineers, and evaluate emerging foundation models and AI infrastructure technologies. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a principal-level architecture role involving frontier AI systems whose behavior is non-deterministic and must still meet enterprise reliability, safety, and scale requirements. It requires deep technical judgment, cross-functional influence, and ownership of foundational decisions with broad organizational impact. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianBelow market$175,000US market range$180k–$260k0$286k AI insightThe disclosed US base-pay range is $165,000 to $185,000 per year, with a midpoint of $175,000. This is below the broader estimated US market range of $180,000 to $260,000 for principal-level AI/software engineering roles, which can vary substantially by company stage, geography, scope, and equity or bonus opportunities; the posting notes that performance bonus and other incentives may also apply. ## Core skills Skills and capabilities most closely associated with this opportunity. [AI architecture](https://jobicy.com/jobs?search_keywords=AI%20architecture.md)[large language models](https://jobicy.com/jobs?search_keywords=large%20language%20models.md)[agentic systems](https://jobicy.com/jobs?search_keywords=agentic%20systems.md)[distributed systems](https://jobicy.com/jobs?search_keywords=distributed%20systems.md)[model serving](https://jobicy.com/jobs?search_keywords=model%20serving.md)[AI evaluation](https://jobicy.com/jobs?search_keywords=AI%20evaluation.md)[AI guardrails](https://jobicy.com/jobs?search_keywords=AI%20guardrails.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[AWS/GCP](https://jobicy.com/jobs?search_keywords=AWSGCP.md)[retrieval-augmented generation](https://jobicy.com/jobs?search_keywords=retrieval-augmented%20generation.md) Sample interview questionsHow would you design a production architecture for an LLM-powered enterprise feature that must be reliable, observable, and cost-conscious?I would separate request orchestration, retrieval and context assembly, model gatewaying, policy enforcement, and telemetry into well-defined components. The design would include versioned prompts and models, structured outputs, caching where safe, rate limits, fallbacks, tracing, quality metrics, and clear SLOs for latency, availability, and cost. I would also build mechanisms to safely roll out and roll back model or prompt changes. Describe an evaluation framework you would use to assess an AI agent that can take autonomous actions for customers. I would begin with a task taxonomy and a representative, versioned evaluation dataset containing expected outcomes, edge cases, and unsafe scenarios. The framework would measure task success, groundedness, policy compliance, action accuracy, latency, and cost, combining automated checks with targeted human review. Before broad release, I would use staged permissions, sandboxing, audit logs, and online monitoring to detect regressions and constrain harmful actions. How do you make architectural decisions when foundation models and AI frameworks change rapidly? I use evidence rather than vendor claims by defining the relevant workload, evaluation criteria, operational constraints, and migration costs upfront. I favor abstractions around model providers and maintain reproducible benchmarks so alternatives can be compared on quality, reliability, latency, safety, and total cost. Decisions should be reversible where possible, with a deliberate path for retiring unsuccessful experiments. Tell us about how you would mentor senior engineers while remaining a hands-on principal engineer. I would create leverage through design reviews, technical RFCs, reference implementations, and shared standards rather than becoming a bottleneck for all decisions. I would pair with senior engineers on difficult system boundaries, explain the reasoning behind tradeoffs, and delegate meaningful ownership. My goal would be to raise the organization's ability to independently make sound AI engineering decisions. What are the primary failure modes of AI systems built on non-deterministic components, and how would you mitigate them? Common failures include hallucinations, prompt injection, inconsistent outputs, retrieval errors, tool misuse, model-provider outages, latency spikes, and silent quality regressions. I would mitigate these with constrained interfaces, trusted retrieval, input and output validation, tool permissioning, policy checks, fallback paths, model and prompt versioning, continuous evaluations, and production observability. For high-impact actions, I would add approval gates or confidence-based escalation to humans. Job Title: Principal Software Engineer, AI Location: Remote – US Salesloft is building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth. With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate. Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future. THE OPPORTUNITY At Salesloft, our Principal Engineer for AI sets the technical direction for how machine intelligence works across our Predictive Revenue System. This is the most senior individual-contributor role on our AI engineering team: you will architect the systems that turn LLMs, machine learning models, and agentic workflows into production capabilities that thousands of enterprise revenue teams depend on. This is deep, ambiguous, frontier work. You will make the foundational architectural decisions for AI at Salesloft — how we serve models at scale, how we build reliable systems on top of non-deterministic components, how we evaluate and guardrail agentic behavior, and how we keep pace as the underlying foundation models evolve. You will set the standards other engineers build on and act as a technical multiplier across the AI organization. On a day-to-day basis, you will: * Set the technical architecture and direction for AI systems across the platform — model serving, LLM-powered features, agentic workflows, and the infrastructure beneath them. * Design production-grade systems that are reliable and observable despite being built on non-deterministic, probabilistic AI components. * Architect evaluation frameworks, guardrails, and quality systems that make AI behavior safe, measurable, and trustworthy at enterprise scale. * Lead the most complex AI engineering problems end to end — from research-adjacent prototyping through hardened production delivery. * Establish engineering standards and best practices for building AI-native systems, and mentor senior engineers across the org. * Keep the platform at the frontier by evaluating and integrating advances in foundation models, agent frameworks, and the modern AI stack. This role lives at the heart of how we Lead From the Front: you’ll work at the edge of applied AI, prototype rapidly, and make architectural bets ahead of the field. And in the spirit of how we Make Your Mark, you’ll set the AI engineering standards and systems that the entire organization builds on — engineered for scale, not for a demo. WHAT WE’RE LOOKING FOR We are looking for an engineer who operates at the highest level of technical authority in AI systems — someone who has architected and shipped production AI at scale and understands the deep challenges of building reliable systems on probabilistic foundations. You lead through technical credibility and make the engineers around you better. You embody what we call Evidence Over Ego — you make architectural decisions from evaluation data and evidence rather than hype, you invite rigorous challenge, and you change direction when the models or the data move. You bring systems thinking to a genuinely unsolved problem space and build for durability. This is the right role if you want to define how AI works on a platform at the center of enterprise revenue. THE TEAM The Salesloft AI Engineering organization builds the machine intelligence at the core of the Predictive Revenue System. The team works at the intersection of applied research and production engineering, in close partnership with Product, Data Science, and Data Platform Engineering. The team Moves as One — AI engineering, product, and data science share ownership of shipping trustworthy AI and make hard technical calls together. And we are relentlessly Customer Inspired: every AI capability is measured against whether it makes revenue teams genuinely more successful and more confident in the system. THE SKILL SET * Extensive experience building and architecting production software systems at scale, with significant depth in AI/ML systems. * Hands-on experience building production systems on top of LLMs or machine learning models — including designing for the challenges of non-deterministic behavior. * Deep expertise in distributed systems, model serving, and the infrastructure required to run AI reliably at scale. * Proven experience designing evaluation frameworks, guardrails, or quality systems for AI-driven features. * A track record of setting technical architecture and standards across teams and mentoring senior engineers. * Strong command of a major programming language (e.g., Python, Java, or Go) and modern cloud infrastructure (AWS or GCP). * Hands-on experience with agentic systems — designing and hardening AI agents that take autonomous action in production. * Depth in the modern AI stack — retrieval-augmented generation, vector stores, agent frameworks, model orchestration, or evaluation tooling. BENEFITS: For more information about our company’s comprehensive benefits please visit: https://salesloftbenefits.com/ At Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings. We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law. If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us! Please note that all official communication regarding job opportunities at Clari + Salesloft will come from @ [salesloft.com](http://salesloft.com) email address. If you receive messages on LinkedIn or other job platforms claiming to be from Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official [Careers Page](https://salesloft.com/company/careers/). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment – all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration. #LI-REMOTE It is Salesloft’s intent to pay all Lofters competitive wages and salaries that are motivational, fair and equitable. The goal of Salesloft’s compensation program is to be transparent, attract potential employees, meet the needs of all current employees and encourage employees to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The total compensation package for this position may also include performance bonus, benefits and/or other applicable incentive compensation plans. Base Pay Range $165,000—$185,000 USD Show more [Apply now >](https://jobicy.com/jobs/154065-principal-software-engineer-ai.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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