Principal AI Engineer
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Before you apply
LocationUnited States
Work modehybrid
Typefull-time
SeniorityLead
Experience8+ yrs
DepartmentClient Services
Company size17+ people
First seenOct 16, 2026 · 3w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
8+ years building and shipping production software or data systems
3+ years specifically delivering AI/ML or generative AI solutions that reached real users
Demonstrated experience building production systems with large language models, including retrieval-augmented generation, agentic workflows and tool use, prompt and context engineering
Judgment to know when fine-tuning is and is not the right call
Strong Python
Experience with modern AI frameworks and orchestration tooling
Experience with vector databases and embedding pipelines
API design for AI-backed services
Comfortable with version control, testing, and CI/CD
Production experience on AWS, Azure, or GCP, including their AI/ML services
Familiarity with containerization, infrastructure as code, and deploying and monitoring models at scale
Experience designing evaluation frameworks for nondeterministic systems
Ability to define accuracy, latency, and cost targets and prove a system meets them both before and after it ships
Working knowledge of data privacy and PII handling, model risk and bias, prompt injection and other AI-specific attack surfaces, and how to satisfy client compliance requirements
Practical judgment on model selection, inference cost, and latency tradeoffs, including recognizing when a smaller model or a non-AI solution is the right answer
Able to run technical discovery with client stakeholders, translate business problems into AI solution designs, and explain tradeoffs credibly to both engineers and executives
Comfortable supporting pre-sales and solutioning conversations
Experience mentoring engineers and raising AI capability across a team, including geographically distributed teams
Self-motivated, flexible, and reliable in delivering on time, with the ability to work in a fast-paced, highly entrepreneurial environment
Consulting or client-services experience is a strong plus
Experience with classical ML and the full model lifecycle
Experience building reusable accelerators or internal assets is a plus
Must be authorized to work in the U.S. without sponsorship
Skills
Python
AWS
Azure
GCP
Retrieval-augmented generation
Agentic workflows
Model integration
Vector databases
Embedding pipelines
CI/CD
Containerization
Infrastructure as code
Benefits
401(k)
PTO
Tuition reimbursement
Remote work
Hybrid work
Training
Mentorship
Industry certifications
Recognition programs
Employee awards
C2C is not available
Must be authorized to work in the U.S. without sponsorship
Why you will enjoy Mondays again:
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Opportunity to work alongside a talented, diverse team in a collaborative and creative environment
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Ongoing investment in your growth through training, mentorship, and industry certifications
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Hands-on exposure to cutting-edge technologies across multiple industries
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Recognition programs and employee awards within an inclusive culture that celebrates great work, including our AI Innovators Program
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Remote or hybrid work options
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Competitive salary
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Robust benefits package, matching 401(k) plan, and substantial PTO
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Tuition reimbursement
A Day in the Life:
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Design and build production AI systems for client environments, including retrieval-augmented generation pipelines, agentic workflows, and model integration, applying fine-tuning where it is genuinely warranted.
•
Implement and deploy AI solutions on cloud platforms, ensuring scalability, reliability, and performance.
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Use Python for data preprocessing, model development, and automation of AI workflows.
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Define and build evaluation frameworks so we can prove solution quality to clients rather than demonstrate it anecdotally.
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Serve as the senior technical voice in client conversations, from discovery through delivery, and mentor engineers across accounts.
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Collaborate with the development team to broaden AI capabilities and enhance existing solutions.
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Research and experiment with emerging AI technologies, staying ahead of industry advancements and bringing practical recommendations back to the team.
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Optimize and monitor AI systems post-deployment, ensuring efficiency, accuracy, cost control, and reliability.
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Actively use AI tools, including Claude through our Anthropic partnership, to streamline tasks, improve the quality of your work, and share best practices with teammates while continuously seeking new ways to integrate AI into your everyday workflows
What it takes:
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Experience: 8+ years building and shipping production software or data systems, with 3+ years specifically delivering AI/ML or generative AI solutions that reached real users. Consulting or client-services experience is a strong plus.
•
Hands-on AI/ML: Demonstrated experience building production systems with large language models, including retrieval-augmented generation, agentic workflows and tool use, prompt and context engineering, and the judgment to know when fine-tuning is and is not the right call. Experience with classical ML and the full model lifecycle is valued.
•
Engineering: Strong Python. Experience with modern AI frameworks and orchestration tooling, vector databases and embedding pipelines, and API design for AI-backed services. Comfortable with version control, testing, and CI/CD.
•
Cloud & MLOps: Production experience on AWS, Azure, or GCP, including their AI/ML services. Familiarity with containerization, infrastructure as code, and deploying and monitoring models at scale.
•
Evaluation & Quality: Experience designing evaluation frameworks for nondeterministic systems. Able to define accuracy, latency, and cost targets and prove a system meets them both before and after it ships.
•
Responsible AI & Security: Working knowledge of data privacy and PII handling, model risk and bias, prompt injection and other AI-specific attack surfaces, and how to satisfy client compliance requirements.
•
Cost & Performance: Practical judgment on model selection, inference cost, and latency tradeoffs, including recognizing when a smaller model or a non-AI solution is the right answer.
•
Client-Facing Skills: Able to run technical discovery with client stakeholders, translate business problems into AI solution designs, and explain tradeoffs credibly to both engineers and executives. Comfortable supporting pre-sales and solutioning conversations.
•
Leadership: Experience mentoring engineers and raising AI capability across a team, including geographically distributed teams. Experience building reusable accelerators or internal assets is a plus.
•
Adaptability: Self-motivated, flexible, and reliable in delivering on time, with the ability to work in a fast-paced, highly entrepreneurial environment.
Regardless of your specific role, we seek individuals who are excited to explore, adopt, and evangelize AI tools and methodologies. If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you’ll fit right in.
Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.
We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting [email protected]
About the company
At Sparq, we help companies solve the right problems—not just build more technology.
We’re a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI. From data ecosystems to digital products and AI acceleration, we turn complexity into clarity and ideas into impact.
If you’re driven to build what’s next, lead with empathy, and deliver excellence without ego, you’ll feel right at home at Sparq.