Optimal Dynamics · 2 days ago
Senior AI Engineer
United States
Full-time
Remote
Mid, Senior Level
$170K/yr - $200K/yr
4+ years expOptimal Dynamics is a high-growth company focused on redefining logistics decisions through innovative AI solutions. They are seeking a Senior AI Engineer to lead the development and scaling of AI capabilities, establishing engineering standards and delivering production systems that utilize trustworthy data.
Artificial Intelligence (AI)LogisticsMachine LearningSaaSSoftwareSupply Chain ManagementTransportation
Responsibilities
Own RAG initiatives end-to-end from problem framing and data readiness through prototyping, iteration, and production launch
Establish foundational components and practices for document processing, indexing, retrieval, orchestration, and evaluation; selecting tools and approaches that balance quality, cost, and speed
Build reliable services and APIs that are observable, secure, and designed for scale in a cloud environment
Define success metrics (quality, latency, cost, safety) and drive continuous improvement via experimentation and data-driven decisions
Create durable team assets (i.e. playbooks, test harnesses, checklists, and documentation) to make RAG development repeatable across products
Collaborate cross-functionally with Product, Data/ML, Engineering, and GTM to translate ambiguous needs into shippable capabilities with clear business impact
Mentor teammates and contribute to a strong engineering culture around AI systems and responsible deployment
Qualification
Required
4+ years of proven industry experience building and operating backend, platform, or data services at production scale
Bachelor's degree in Computer Science, Electrical Engineering, Operations Research, or Mathematics/Physics
Proven track record delivering data or ML-powered features end-to-end (Discovery/Prototyping > Launch > Iteration)
Python Proficiency - you write well-tested & maintainable code
API design expertise and experience with cloud services (preferably AWS)
Familiarity with information retrieval concepts and grounding AI systems in trustworthy data
Comfort setting technical direction, selecting tools, and establishing engineering best practices for AI-focused builds
Preferred
Experience introducing retrieval-augmented or knowledge-grounded AI capabilities in a product or platform context
Exposure to evaluation methodologies for AI systems (quality, latency, cost, safety) and running experiments/A-B tests
Background working with unstructured data pipelines, indexing, and search, whether homegrown or via managed services
Experience mentoring engineers, uplifting practices, and creating reusable playbooks and templates
Experience in the transportation, logistics, or broader supply chain industry
Customer-facing collaboration comfort: gathering requirements, scoping MVPs, and measuring ROI post-launch
Benefits
Competitive compensation, including Series C level equity
Health / Dental / Vision 100% covered for employee and 50% for dependents
Life Insurance, with optional supplemental insurance
Flexible Spending Account (FSA)
Health Spending Account (HSA)
401(k) with match
Unlimited PTO (vacation, personal days, sick days, jury duty, military leave, bereavement)
11 Holidays
Paid Parental Leave for all employees
Short-term and Long-term Disability Insurances, and AD&D Insurance
Fitness membership reimbursement
Commuter benefits
Company
Optimal Dynamics
Optimal Dynamics is a SaaS company that uses artificial intelligence and machine learning to disrupt the logistics industry.
51-200 employees
H1B Sponsorship
Optimal Dynamics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageTotal Funding
$95.8MKey Investors
Koch Disruptive TechnologiesThe Westly GroupBessemer Venture Partners
2025-05-12Series C· $40M
2022-04-14Series B· $33M
2021-05-13Series A· $18.4M
Leadership Team
Daniel Powell
CEO and Founder
Warren Powell
Co-Founder and Chief Innovation Officer/Professor Emeritus
Recent News
Company data provided by crunchbase