Lead Full Stack Developer - AI​/ML Focus

Lead Full Stack Developer – AI/ML Focus

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. The candidate 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 Graph
  
  QL APIs.
• Implement testing, code quality pipelines, and Dev Ops 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 SOC
  2.
• 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 equivalent experience.
• 8+ years of full‑stack engineering experience.
• Expertise in JavaScript/Type Script, Python, and modern front‑end frameworks.
• Strong AI/ML experience with Tensor Flow, 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/No
  
  SQL 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, Sage Maker).
• 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.

The approximate compensation range for this position is $130,000 to $170,000. Actual compensation is dependent upon factors such as education, qualifications, experience, skillset, and physical work location.

• 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