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Internal Systems Engineer (Applied AI)

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Published
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3Application actions
30 Sep 2026Apply before
Opportunity details

About this role.

AI Summary

This Internal Systems Engineer role builds applied-AI tools, agentic workflows, integrations, and internal platforms for Customer Operations teams. The engineer will develop production applications using Python or JavaScript/TypeScript, connect SaaS systems through REST APIs, and support tools such as Freshdesk. Core AI work includes RAG, LLM orchestration, evaluation frameworks, human-in-the-loop workflows, observability, and regression testing. The position also requires partnering closely with non-technical stakeholders to turn operational ideas into scalable, self-service solutions.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role combines production software engineering, AI systems design, evaluation, integrations, and platform architecture in a complex operational environment. Success requires independently translating ambiguous business workflows into reliable, scalable tools while enabling non-engineering users.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$150,000
US market range$130k–$175k
AI insightThe disclosed base salary range is USD 140,000 to USD 160,000 per year, with a midpoint of USD 150,000. A competitive US-market base-salary range for an applied AI/internal systems engineer with production LLM, integrations, and platform responsibilities is approximately USD 130,000 to USD 175,000 annually; bonus and RSUs are additional compensation and are excluded from the base-salary calculation.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design an AI assistant that drafts responses to Freshdesk tickets while maintaining quality and safety?

I would begin by defining supported ticket types, escalation rules, and measurable quality criteria with Support stakeholders. The solution would retrieve approved knowledge-base content, generate a grounded draft with citations or source references where practical, and route responses through human approval for higher-risk cases. I would log prompts, retrieved context, outputs, edits, and outcomes, then use a representative evaluation set and regression tests to continuously measure accuracy, tone, policy compliance, and resolution usefulness.

Describe how you would turn a successful team-built AI pilot into a scalable internal platform capability.

I would preserve the team’s ownership of the workflow requirements while separating reusable platform concerns from their specific business logic. The platform layer would provide approved model access, authentication, secrets management, deployment templates, monitoring, evaluation hooks, and common integrations. I would document clear interfaces and guardrails so the originating team can continue iterating while other teams can adopt the pattern without rebuilding infrastructure.

What approach would you use to evaluate an LLM-powered RAG tool for new support-agent training?

I would create a curated test set from realistic training questions, expected answer elements, approved sources, and known failure cases. Evaluation would include retrieval relevance, answer correctness, groundedness, completeness, safety, and consistency, using a combination of deterministic checks, human review, and calibrated LLM-as-a-judge scoring. I would run these evaluations in CI/CD before releases and monitor production feedback and unanswered questions to expand the test set.

How do you approach integrating multiple SaaS systems into an operational workflow?

I first map the end-to-end process, system ownership, data contracts, identifiers, trigger events, failure modes, and required audit trail. I then build resilient API integrations with secure credential handling, idempotency, retries, rate-limit management, structured logging, and alerting. Before broad release, I validate the workflow in a controlled environment with stakeholders and define operational runbooks for support and maintenance.

Tell us about how you would work with a non-technical stakeholder who has a promising automation idea but cannot build it independently.

I would start by clarifying the problem, current workflow, desired outcome, constraints, and how success will be measured. I would translate the idea into a small, testable prototype while explaining key design decisions in accessible language and inviting the stakeholder to shape prompts, edge cases, and acceptance criteria. Once value is proven, I would productionize the solution and provide documentation or guided enablement so the stakeholder can confidently contribute to its ongoing improvement.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

About impact.com

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products – Performance (affiliate), Creator (influencer), and Advocate (customer referral) – unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands – including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics – rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

Reporting to the Manager of Customer Operations Systems, the Internal Systems Engineer (Applied AI) is a specialized, high-impact builder role dedicated to supercharging our Customer Operations teams (Support, Success, Onboarding, Implementation).

This is a highly practical, application-focused engineering position instrumental to our AI transformation. You will spend your time across three types of work:

  1. Building AI-powered tools and agents. You will integrate applied AI into our workflows using modern frameworks. You will consult with business stakeholders to help explain the art of the possible, guide them in defining logic and prompts, and own building and maintaining agentic workflows and tools. Example projects include building an AI-powered QA and training tool with a RAG component for new support agents, architecting agentic workflows for our onboarding team, or building a FreshDesk integration that suggests draft responses to tickets.
  2. Building and maintaining a shared agent platform. This is what makes AI scale beyond our team. You will build and maintain the templates, approved patterns, and deployment infrastructure that enable people across Customer Operations to build their own agents without needing to figure out hosting, monitoring, or API connectivity themselves. When a Technical Services lead wants to build an agent that automates “pixel not firing” investigations, they should be able to do it on your platform without writing a deployment script. You own making self-serve actually work.
  3. Building robust internal software, integrations, and automations – such as developing custom FreshDesk widgets to support our agents. You will own the full lifecycle of these apps: building, hosting, monitoring, maintaining, and eventually retiring them when they’re no longer needed.

Many job descriptions define themselves as “critical” or “pivotal.” This role genuinely is. impact.com has thousands of clients, millions of partners, endless data, and complex multi-system processes. As a business, we are ensuring we are on the cutting edge – aggressively automating and scaling up what we do with AI. This role owns a substantial portion of that transformation for a critical part of our business.

A note on how you’ll work with others: when someone across Customer Operations builds a pilot that proves value, you don’t take it over. You partner with them to elevate it – bringing engineering rigor, production infrastructure, and scale while they maintain creative control and ongoing input. When someone has a great idea but isn’t technical enough to build it themselves, your first instinct is to build it with them, growing their skills in the process. You’re an accelerator, not a bottleneck.

This role is for the person who embodies the overlap of curiosity, process-obsession, and action orientation. It is for the passionate tinkerer who also gets carried away exploring custom Salesforce structures and data flows. It is for the person who has been building agentic workflows to manage their household tasks in their free time because they can’t stop playing with the new tools AI offers.

If you are that person – if you are a highly motivated, thoughtful builder – and you want to leverage applied AI on a daily basis, this is the role for you.

What You’ll Do:

  • Software Development Foundation: Proven experience building, hosting, and maintaining applications and tools. You are comfortable writing clean, functional code (Python, JavaScript/TypeScript, etc.) to solve operational problems. You understand what it means to keep something running in production, not just get it working once.
  • API & Integration Expertise: Deep experience working with REST APIs. You can easily build connectors between distinct SaaS platforms to automate data flows and trigger actions.
  • Applied AI Engineering: Hands-on experience with LLM orchestration frameworks (like LangChain or LangGraph). You understand MCPs, RAG pipelines, agentic workflows, DAG vs linear flows, engineering HITL systems, and have built real-world systems using these rails.
  • AI Evaluation & Quality: Experience setting up and running evals for LLM outputs. You know how to build systems that grade, evaluate, and test AI responses for accuracy and safety (e.g., LLM-as-a-judge). You understand CI/CD for AI systems and can build regression testing pipelines.
  • Platform Thinking: You don’t just build one-off tools – you think about how to make your work reusable. You can design templates, abstractions, and deployment patterns that other people (including non-engineers) can use to build on top of what you’ve created.
  • Systems Thinking & Process Orientation: You don’t write code in a vacuum; you map out complex operational workflows before you start building. You have a knack for seeing how different tools, teams, and data flows interact, ensuring your solutions address the actual problem without creating downstream issues.
  • Cross-Functional Collaboration: Ability to work closely with non-technical business stakeholders. You can take a process flow and prompt designs from a business leader and turn them into a functioning, hosted application. Equally important: you can teach – walking a non-technical person through building their first agent is as valuable as building it yourself.
  • Autonomous Builder: You are a self-starter who thrives in an agile environment. You don’t need excessive hand-holding to figure out how to host a script or deploy a small internal app.
  • Relentless Tinkerer: You were the first person in your current role to start building agents. You have had personal subscriptions to Claude, Gemini, ChatGPT, Cursor, etc.

What You Bring:

  • Experience building custom apps or integrations specifically for Freshdesk (or similar enterprise ticketing systems like Zendesk/Jira).
  • Background working in or building tools for Customer Support, Customer Success, or Onboarding teams.
  • Experience integrating with knowledge base platforms (like Gitbook or similar documentation sites).
  • Proven experience taking automation projects from concept to deployment within a large, complex organization.
  • Experience building internal platforms or developer tools that other teams use to self-serve.
  • Experience with monitoring and observability for AI systems in production.

Salary range: $140,000.00 – $160,000.00 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

Benefits and Perks:

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

  • Medical, Dental, and Vision insurance
  • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled
  • Flexible spending accounts and 401(k)
  • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We’re committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
  • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
  • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company’s growth with a 3-year vesting schedule, pending Board approval.
  • Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
  • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
  • Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses.

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

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