Senior AI Engineer
FullTimeJob Overview
At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment.
We are looking for a talented and passionate Senior Full Stack Developer with a specialized focus on AI enablement and a rigorous approach to engineering. This role is designed for an engineer who thrives on building clean, high-quality software while pushing the boundaries of technology through MLOps and machine learning. You will join a fast-paced, motivated team of engineers, designers, and product managers dedicated to "shifting quality and security to the left." We are looking for a developer who embraces Spec Driven Development (SDD) as a foundation for excellence and possesses a relentless mindset for automation. You must be able to leverage technology to eliminate manual toil while maintaining absolute assurance in system reliability, security, and performance.
Responsibilities:
Architectural Excellence: Lead the creation and implementation of Spec Driven Development (SDD) to ensure all features and AI integrations are well-architected, scalable, and documented before execution.
Product Development: Design, build, ship, and maintain the Fulcrum web platform, collaborating with the team to deliver high-quality product features and exceptional UI/UX.
Intelligent Automation: Proactively identify opportunities to automate manual processes across the engineering lifecycle, using AI and custom tooling to increase velocity without compromising system integrity.
AI Solutioning: Engage with internal customers to design, prototype, and document AI models that solve specific challenges, presenting solutions to the AI guild for review.
MLOps & Quality Assurance: Implement and enhance MLOps practices to streamline model deployment; ensure that all automated workflows include robust validation layers to maintain high assurance and compliance.
Quality & Maintenance: Maintain high code quality standards through rigorous peer reviews, proactively addressing security vulnerabilities, performance bottlenecks, and bugs.
Continuous Growth: Raise your own and the team’s technical capabilities every day by staying at the forefront of AI, machine learning, and full-stack trends.
Qualifications:
Full Stack Expertise: 5+ years of experience as a full-stack engineer delivering software products, with at least 3 years focused on full-time web development.
Design & Documentation: Proven ability to work with and author Spec Driven Development (SDD), translating complex requirements into clear technical blueprints.
Automation Mindset: Demonstrated experience in automating workflows, testing, or deployments, with a focus on maintaining high-assurance environments.
AI/ML Specialization: At least 6 months of proven experience in AI, machine learning, and MLOps, with a strong understanding of supervised, unsupervised, and reinforcement learning.
Technical Proficiency: Experience with model training, fine-tuning, and optimization using frameworks like TensorFlow or PyTorch.
Cloud & Infrastructure: Experience working with cloud platforms (AWS), containerization (Docker), and orchestration (Kubernetes), AI Engineering Sagemaker(AWS), Vertex AI(Google) .
Communication: Outstanding written and verbal communication skills with the ability to facilitate workshops and guide cross-functional sessions.
Technologies
Languages & Frameworks: Ruby on Rails, NodeJS, React, TypeScript, JavaScript, and Python.
AI/ML & Automation: TensorFlow, PyTorch, AI coding agents (GitHub Copilot), and CI/CD automation tools.
Data & Ops: PostgreSQL, Docker, Kubernetes, and various data processing tools.
Qualities We’re Looking For
Assurance-Focused Automation: A mindset that seeks to automate everything but understands that automation is only as good as the guardrails and quality checks surrounding it.
Results-Driven (GTD): A "Get Things Done" attitude. You identify next actions, communicate intent, and execute quickly in a fast-paced environment.
Ownership Thinking: The ability to take initiative, make informed decisions, and own a project from conception to delivery without being micromanaged.
Product-Oriented: A passion for building innovative technical solutions that solve real-world, painful data and workflow challenges for customers.
Bonus: You love tacos 🌮, love the intersection of AI and product, and have a good sense of humor.
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