Senior AI Developer
FleetPride•Irving, TX
3d
About The Position
FleetPride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today!
Requirements
- 7+ years of software development experience
- 3+ years building and deploying machine learning or AI solutions in production
- Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Experience with LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)
- Solid understanding of data engineering fundamentals
- Experience with cloud-native AI deployment (Azure ML, AWS SageMaker, Vertex AI, etc.)
- Ability to communicate complex technical ideas clearly and confidently
- Demonstrated experience working directly with business stakeholders
Nice To Haves
- Experience implementing enterprise-scale AI governance frameworks
- Background in analytics, optimization, or decision intelligence
- Experience designing AI copilots or intelligent automation solutions
- MBA or strong business acumen
- Experience in regulated or complex operational environments
- Builder mindset with production discipline
- Systems thinker who designs for scale
- Commercially oriented technologist
- Comfortable in ambiguity
- Strong executive communication skills
- Bias for measurable outcomes over experimentation
Responsibilities
- Hands-On AI Development & Engineering Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation)
- Architect production-ready pipelines from data ingestion through model monitoring
- Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
- Write high-quality, production-grade code (Python required; additional languages a plus)
- Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
- Work across cloud platforms (Azure, AWS, or GCP) to deploy secure, enterprise-grade solutions
- Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
- Optimize performance, scalability, and cost-efficiency of AI workloads
- Translate ambiguous business problems into structured AI solution designs
- Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
- Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
- Lead solution design workshops and whiteboarding sessions
- Quantify expected ROI and define measurable success metrics
- Influence prioritization of AI initiatives based on business value and feasibility
- Mentor junior developers and help elevate AI literacy across the organization
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
