Full Stack AI Engineer

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If you are a Full Stack AI Engineer   looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

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Requirements

We are seeking a
highly skilled Full Stack AI Engineer to design, build, and scale
intelligent applications across the full technology stack. This role combines
strong backend and frontend engineering expertise with applied AI/ML
implementation in enterprise cloud environments.

You will work
closely with product managers, architects, data scientists, and DevOps teams to
deliver production-grade AI-powered solutions that are secure, scalable, and
aligned with business objectives.

This is a
hands-on engineering role requiring experience across application development,
AI model integration, cloud architecture, and DevSecOps practices.

Key
Responsibilities

AI / Machine
Learning

• Design and implement AI/ML
  solutions for real-world business use cases.
  
• Integrate ML models (e.g.,
  forecasting, classification, NLP, computer vision) into production-grade
  applications.
  
• Develop APIs and services that
  expose AI capabilities securely and efficiently.
  
• Optimize model performance,
  latency, scalability, and monitoring in production.
  
• Implement model lifecycle
  management (training, deployment, monitoring, retraining).
  

Backend
Development

• Design and develop scalable
  RESTful and/or GraphQL APIs.
  
• Build microservices-based
  architectures.
  
• Implement authentication,
  authorization, and secure API access.
  
• Develop data pipelines and
  integrate with structured and unstructured data sources.
  
• Ensure high availability,
  performance tuning, and observability.
  

Frontend
Development

• Develop responsive, user-friendly
  web applications.
  
• Build interactive dashboards and
  AI-driven user experiences.
  
• Integrate frontend applications
  with backend AI services.
  
• Ensure accessibility, usability,
  and performance optimization.
  

Cloud &
DevOps

• Deploy applications and models in
  cloud environments (Azure, AWS, or GCP).
  
• Implement CI/CD pipelines for
  application and model deployment.
  
• Apply infrastructure-as-code
  (Terraform, ARM, Bicep, etc.).
  
• Implement monitoring, logging, and
  alerting.
  
• Ensure security compliance and
  enterprise-grade governance.
  

Architecture
& Collaboration

• Participate in solution
  architecture and design discussions.
  
• Translate business requirements
  into technical solutions.
  
• Collaborate with cross-functional
  teams (product, security, data, UX).
  
• Contribute to technical standards,
  best practices, and code reviews.
  
•  
  

Required
Qualifications

• 5+ years of full stack software
  engineering experience.
  
• 2+ years of hands-on AI/ML
  implementation in production environments.
  
• Strong proficiency in:
  
• Python (FastAPI, Flask, or
  Django)
  
• JavaScript/TypeScript (React,
  Angular, or Vue)
  
• REST API development
  
• Experience with ML frameworks
  (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent).
  
• Experience deploying AI workloads
  in cloud environments (Azure ML, SageMaker, Vertex AI, etc.).
  
• Experience with relational and
  NoSQL databases.
  
• Strong understanding of software
  engineering principles and design patterns.
  
• Experience with Docker and
  container orchestration (Kubernetes preferred).
  
• Knowledge of secure coding
  practices and enterprise security standards.
  

Preferred
Qualifications

• Experience with enterprise AI
  governance and responsible AI frameworks.
  
• Experience with MLOps and model
  monitoring tools.
  
• Knowledge of distributed systems
  and event-driven architectures.
  
• Experience with vector databases
  and semantic search (if applicable to organization).
  
• Experience in regulated industries
  (financial services, healthcare, public sector).
  
• Experience working in Agile/Scrum
  teams.
  

Key
Competencies

• Strong problem-solving and
  analytical skills.
  
• Ability to translate complex AI
  concepts into scalable technical solutions.
  
• Excellent communication and
  stakeholder engagement skills.
  
• Ownership mindset with the ability
  to operate independently.
  
• Strong attention to performance,
  security, and maintainability.
  

Benefits