Lead Full Stack Developer - AI/ML Focus

Description

• Ensure strong security posture aligned with Zero Trust and SOC2.
• Build ML-driven features such as recommendation engines, anomaly detection, and NLP.
• Collaborate with data scientists, ML engineers, and business stakeholders to deliver impactful solutions.
• Ensure responsible and ethical AI deployment practices.
• Lead and mentor AI/ML engineering teams.
• Champion best practices in data engineering, MLOps, and cloud optimization.
• Implement testing, code quality pipelines, and DevOps workflows.
• Lead end-to-end architecture, design, and development of full-stack applications with AI/ML components.
• Build RESTful and GraphQL APIs.
• Optimize model performance and deployment strategies.
• Champion AI governance, compliance, and ethical AI principles across all solutions.
• Implement model drift detection, automated retraining pipelines, and AI observability frameworks.
• Develop high-performance front-end interfaces using modern frameworks (React, Next.js, Angular, Vue).
• Incorporate MCP servers and distributed compute frameworks to support large-scale AI/ML inference and training.
• Explore advanced AI applications such as digital twins and immersive analytics to accelerate innovation.
• Support observability, monitoring, and data governance.
• Design data pipelines, feature stores, vector databases, and inference layers.
• Implement CI/CD pipelines.
• Integrate real-time data streams for AI-driven features.
• Translate business requirements into scalable AI/ML strategies.
• Productionize ML models and integrate them into real-world applications.
• Drive best practices in coding, scalability, security, CI/CD, and cloud-native development.
• Promote cross-functional AI adoption and educate stakeholders on AI capabilities and limitations.
• Research and prototype emerging AI technologies (LLMs, GenAI, RAG architectures).
• Coach and mentor developers, data engineers, and ML engineers.
• Lead cloud architecture (AWS, Azure, GCP) with serverless and containerization.
• Define and execute enterprise AI/ML strategies aligned with key business outcomes.
• Own solution design reviews, technical roadmaps, and architectural decisions.
• Leverage enterprise frameworks (.NET 8, ASP.NET Core) and cloud-native orchestration (Azure AKS, Kubernetes, Helm) for scalable AI deployments.

Requirements

• Bachelor’s degree in Computer Science or related field, or similar, or equivalent experience.
• Strong SQL/NoSQL experience and API design skills.
• Ability to lead cross-functional teams.
• Familiarity with MCP servers and distributed compute frameworks for AI scalability.
• Experience with MLOps tools (Kubeflow, MLFlow, SageMaker).
• Any 8+ years of full-stack engineering experience.
• Expertise in JavaScript/TypeScript, Python, and modern front-end frameworks.
• Architect secure, scalable backend services using Node.js, Python, Go, or Java.
• Proficiency in microservices, distributed systems, and cloud platforms.
• Data or AI/ML related certifications.
• Strong problem-solving and systems-thinking abilities.
• Strong AI/ML experience with TensorFlow, PyTorch, Scikit-Learn, or similar.
• Experience deploying ML models and integrating AI features into applications.
• Prior experience in regulated industries.
• Experience with GenAI, LLMs, vector search, RAG architectures.
• Excellent communication skills.
• Experience with enterprise-grade frameworks (.NET 8, ASP.NET Core) and cloud-native orchestration across Azure, AWS, and GCP, including Kubernetes and Helm.
• Knowledge of identity and security frameworks (OAuth 2.0, OIDC).
• Real-time data frameworks (Kafka, Spark).

Benefits

• Flexible Spending Account (FSA)
• Life, AD&D, short-term, and long-term disability
• Health Savings Account (HSA)
• Professional and personal development
• Medical, dental, vision insurance
• 401 (k) Retirement Plan
• Commuter and wellness benefits
• Generous paid time off

Training + Development

Interview process

Visa Sponsorship

Security clearance