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Role: Full
Stack 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 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.

- Robust 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

Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

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Clients Testimonial: Click Here

📌 Full Stack AI Engineer (Hyderabad)
🏢 Important Business
📍 Hyderabad