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Full Stack AI Engineer
Full Stack AI Engineer
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Full Stack AI Engineer

Ranjith Ammu's profile picture
Posted by Ranjith Ammu
8 - 10 yrs
₹30L - ₹35L / yr
Hyderabad, Bengaluru (Bangalore), Pune, Chennai
Skills
Artificial Intelligence (AI)
skill iconPython
MLOps
skill iconJavascript
TypeScript
RESTful APIs
PyTorch
TensorFlow
Relational Database (RDBMS)
NOSQL Databases
Design patterns
skill iconDocker
skill iconKubernetes

AI Engineer (Preferred Years of Experience: 8 years)


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


  • 8 years of full stack software engineering experience.
  • 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.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Alignity Solutions

Founded :
2008
Type :
Services
Size :
20-100
Stage :
Profitable

About

Successful companies gain back 30% of their budget & time each year. How? They partner with Alignity to solve their challenges in - Digital Transformation - Employer Branding & Hiring - Performance Innovation See others share their specific benefits by partnering with us: Clients: https://alignity.io/talent-acquisition/#WhyClientsTrustUs Employees: https://alignity.io/candidate-services/#WhyEmployeesLoveUs Connect with us if you are looking for Outsourcing, Staffing solutions in below niches - Cloud/Data - Cybersecurity - AI/ML - Fullstack - Agile - SAP
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- If you like problem-solving, and love the latest technology, there are very few better places



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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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