Lead Full Stack Developer - AI/ML Focus

Michael Baker International-posted 28 days ago
$130,000 - $170,000/Yr
Full-time • Mid Level
Remote • Seattle, WA
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Michael Baker International is seeking a highly skilled Lead Full Stack Developer with deep AI/ML expertise to architect, build, and scale intelligent, data-driven applications across our enterprise ecosystem. This role combines strong hands-on engineering capabilities with technical leadership, guiding cross-functional teams in delivering modern, scalable, and AI-enhanced digital experiences. This role will collaborate on efforts to advance automation, middleware integration, and developer experience improvements, supporting innovation through emerging technologies for distributed AI workloads.

  • Lead end-to-end architecture, design, and development of full-stack applications with AI/ML components.
  • Drive best practices in coding, scalability, security, CI/CD, and cloud-native development.
  • Coach and mentor developers, data engineers, and ML engineers.
  • Own solution design reviews, technical roadmaps, and architectural decisions.
  • Develop high-performance front-end interfaces using modern frameworks (React, Next.js, Angular, Vue).
  • Architect secure, scalable backend services using Node.js, Python, Go, or Java.
  • Build RESTful and GraphQL APIs.
  • Implement testing, code quality pipelines, and DevOps workflows.
  • Integrate real-time data streams for AI-driven features.
  • Leverage enterprise frameworks (.NET 8, ASP.NET Core) and cloud-native orchestration (Azure AKS, Kubernetes, Helm) for scalable AI deployments.
  • Incorporate MCP servers and distributed compute frameworks to support large-scale AI/ML inference and training.
  • Productionize ML models and integrate them into real-world applications.
  • Build ML-driven features such as recommendation engines, anomaly detection, and NLP.
  • Design data pipelines, feature stores, vector databases, and inference layers.
  • Optimize model performance and deployment strategies.
  • Implement model drift detection, automated retraining pipelines, and AI observability frameworks.
  • Research and prototype emerging AI technologies (LLMs, GenAI, RAG architectures).
  • Ensure responsible and ethical AI deployment practices.
  • Explore advanced AI applications such as digital twins and immersive analytics to accelerate innovation.
  • Lead cloud architecture (AWS, Azure, GCP) with serverless and containerization.
  • Implement CI/CD pipelines.
  • Ensure strong security posture aligned with Zero Trust and SOC2.
  • Support observability, monitoring, and data governance.
  • Define and execute enterprise AI/ML strategies aligned with key business outcomes.
  • Champion best practices in data engineering, MLOps, and cloud optimization.
  • Champion AI governance, compliance, and ethical AI principles across all solutions.
  • Promote cross-functional AI adoption and educate stakeholders on AI capabilities and limitations.
  • Lead and mentor AI/ML engineering teams.
  • Collaborate with data scientists, ML engineers, and business stakeholders to deliver impactful solutions.
  • Translate business requirements into scalable AI/ML strategies.
  • Bachelor’s degree in Computer Science or related field, or similar, or equivalent experience.
  • Any 8+ years of full-stack engineering experience.
  • Expertise in JavaScript/TypeScript, Python, and modern front-end frameworks.
  • Strong AI/ML experience with TensorFlow, PyTorch, Scikit-Learn, or similar.
  • Experience deploying ML models and integrating AI features into applications.
  • Proficiency in microservices, distributed systems, and cloud platforms.
  • Strong SQL/NoSQL experience and API design 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).
  • Familiarity with MCP servers and distributed compute frameworks for AI scalability.
  • Data or AI/ML related certifications.
  • Experience with GenAI, LLMs, vector search, RAG architectures.
  • Experience with MLOps tools (Kubeflow, MLFlow, SageMaker).
  • Real-time data frameworks (Kafka, Spark).
  • Prior experience in regulated industries.
  • Open-source contributions.
  • Strong problem-solving and systems-thinking abilities.
  • Ability to lead cross-functional teams.
  • Excellent communication skills.
  • Passion for innovation and continuous learning
  • Medical, dental, vision insurance
  • 401 (k) Retirement Plan
  • Health Savings Account (HSA)
  • Flexible Spending Account (FSA)
  • Life, AD&D, short-term, and long-term disability
  • Professional and personal development
  • Generous paid time off
  • Commuter and wellness benefits
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