Full Stack AI Engineer

Alignity Solutions; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Alignity Solutions in Hyderabad, Bangalore, Pune, and Chennai seeks a highly skilled Full Stack AI Engineer to design, build, and scale intelligent applications across the tech stack. The role blends backend and frontend engineering with applied AI/ML in enterprise cloud environments.

You will collaborate with product managers, data scientists, and DevOps to deliver production-grade AI-powered solutions that are secure, scalable, and aligned with business goals.

Qualifications

• 5+ years of full stack software engineering experience.
• 2+ years of hands-on AI/ML implementation in production environments.
• Proficiency in Python (FastAPI, Flask, or Django).
• Experience with ML frameworks (scikit-learn, PyTorch, TensorFlow).
• Experience deploying AI workloads in cloud environments (Azure ML, SageMaker, Vertex AI).
• Experience with relational and NoSQL databases.
• Strong software engineering principles and design patterns.
• Experience with Docker and container orchestration (Kubernetes preferred).
• Knowledge of secure coding practices and enterprise security standards.

Responsibilities

• Design and implement AI/ML solutions for real-world business use cases.
• Develop scalable RESTful and GraphQL APIs.
• Build frontend integration with AI services and dashboards.
• Collaborate on solution architecture and cross-functional teams.
• Ensure security, scalability, and observability of AI-enabled apps.

Skills

Full stack

AI/ML in prod

Python

ML frameworks

Cloud deployment

Databases

Docker/Kubernetes

Security

Tools

Docker

Kubernetes

Terraform

ARM/Bicep

Job description

Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees.

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.

We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.

Role: FullStack AI Engineer Location: HYDERABAD | BANGALORE | PUNE | CHENNAI Experience: 5+ Years Employment Type: Contract to hire Notice Period: 0-30 days(If you have negotiable notice period or buyout option please apply)

Requirements

We are seeking ahighly skilled Full Stack AI Engineer to design, build, and scaleintelligent applications across the full technology stack. This role combinesstrong backend and frontend engineering expertise with applied AI/MLimplementation in enterprise cloud environments.

You will workclosely with product managers, architects, data scientists, and DevOps teams todeliver production-grade AI-powered solutions that are secure, scalable, andaligned with business objectives.

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

KeyResponsibilities

AI / MachineLearning

• Design and implement AI/MLsolutions for real-world business use cases.
  
• Integrate ML models (e.g.,forecasting, classification, NLP, computer vision) into production-gradeapplications.
  
• Develop APIs and services thatexpose AI capabilities securely and efficiently.
  
• Optimize model performance,latency, scalability, and monitoring in production.
  
• Design and develop scalableRESTful and/or GraphQL APIs.
  
• Build microservices-basedarchitectures.
  
• Implement authentication,authorization, and secure API access.
  
• Develop data pipelines andintegrate with structured and unstructured data sources.
  
• Ensure high availability,performance tuning, and observability.
  

FrontendDevelopment

• Develop responsive, user-friendlyweb applications.
  
• Build interactive dashboards andAI-driven user experiences.
  
• Integrate frontend applicationswith backend AI services.
  
• Ensure accessibility, usability,and performance optimization.
  
• Deploy applications and models incloud environments (Azure, AWS, or GCP).
  
• Implement CI/CD pipelines forapplication and model deployment.
  
• Apply infrastructure-as-code(Terraform, ARM, Bicep, etc.).
  
• Implement monitoring, logging, andalerting.
  
• Ensure security compliance andenterprise-grade governance.
  

Architecture& Collaboration

• Participate in solutionarchitecture and design discussions.
  
• Translate business requirementsinto technical solutions.
  
• Collaborate with cross-functionalteams (product, security, data, UX).
  
• Contribute to technical standards,best practices, and code reviews.
  

RequiredQualifications

• 5+ years of full stack softwareengineering experience.
  
• 2+ years of hands-on AI/MLimplementation in production environments.
  
• Strong proficiency in:
  
• Python (FastAPI, Flask, orDjango)
  
• Experience with ML frameworks(e.g., scikit-learn, PyTorch, TensorFlow, or equivalent).
  
• Experience deploying AI workloadsin cloud environments (Azure ML, SageMaker, Vertex AI, etc.).
  
• Experience with relational andNoSQL databases.
  
• Strong understanding of softwareengineering principles and design patterns.
  
• Experience with Docker andcontainer orchestration (Kubernetes preferred).
  
• Knowledge of secure codingpractices and enterprise security standards.
  

PreferredQualifications

• Experience with enterprise AIgovernance and responsible AI frameworks.
  
• Experience with MLOps and modelmonitoring tools.
  
• Knowledge of distributed systemsand event-driven architectures.
  
• Experience with vector databasesand semantic search (if applicable to organization).
  
• Experience in regulated industries(financial services, healthcare, public sector).
  
• Experience working in Agile/Scrumteams.
  
• Strong problem-solving andanalytical skills.
  
• Ability to translate complex AIconcepts into scalable technical solutions.
  
• Ownership mindset with the abilityto operate independently.
  
• Strong attention to performance,security, and maintainability.