Lead Full Stack Developer - AI/ML Focus

Qualifications

• Full-Stack Development
• 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

Benefits

• Compensation
• The approximate compensation range for this position is $130,000 to $170,000
• This compensation range is a good-faith estimate for the position at the time of posting
• Actual compensation is dependent upon factors such as education, qualifications, experience, skillset, and physical work location
• We offer a comprehensive benefits package including:
• 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

Responsibilities

• 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
• Cloud, Data, and DevOps
• 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
• Execution Champion
• 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
• Team Development and Stakeholder Engagement
• 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

Full Description

Description

JOB DESCRIPTION

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.

Responsibilities

Technical Leadership

• 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.

Full-Stack Development

• 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.

AI/ML Engineering

• 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.

Cloud, Data, and DevOps

• 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.

Execution Champion

• 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.

Team Development and Stakeholder Engagement

• 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.

Professional Requirements

• 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.

Preferred Qualifications

• 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

Compensation

The approximate compensation range for this position is $130,000 to $170,000.

This compensation range is a good-faith estimate for the position at the time of posting.

Actual compensation is dependent upon factors such as education, qualifications, experience, skillset, and physical work location.

Benefits

We offer a comprehensive benefits package including:

• 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