Full stack Gen AI Engineer

Biotale

Mumbai

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+
Application generator

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Job summary

A leading tech company in Mumbai is seeking an experienced Senior Full-Stack Generative AI Engineer to join their team. In this role, you will design, develop, and implement generative AI applications, integrating them into existing systems. The ideal candidate has over 10 years of software development experience, including at least 2 years focused on generative AI. Strong expertise in both front-end and back-end technologies, as well as DevOps practices, is essential for success in a fast-paced and collaborative environment.

Qualifications

  • 10+ years of hands-on software development experience.
  • Minimum 2 years in generative AI engineering.
  • Strong background in automation technologies.
  • Exceptional problem-solving and analytical skills.
  • Strong communication skills to explain technical concepts.

Responsibilities

  • Develop and implement generative AI products and applications.
  • Provide technical guidance to development teams.
  • Conduct code reviews and troubleshoot issues.
  • Manage the full engineering lifecycle.
  • Collaborate with teams to define goals and develop solutions.

Skills

Proficiency in Python
Deep learning frameworks (TensorFlow, PyTorch)
Expertise in front-end technologies (React, Flutter)
Back-end development (Node.js, Python)
Proficiency in DevOps practices
Knowledge of computer vision
Experience in real-time data processing
Understanding of data integration

Job description

Seeking an experienced Senior Full-Stack, Generative AI Engineer to join our team. The ideal candidate will have a strong background in front-end and back-end engineering, as well as experience in generative AI technologies. As a Senior Full-Stack Generative AI Engineer, you will be responsible for designing, developing, and implementing generative AI applications and integrating them into our existing systems. This role requires a good understanding of on all aspects of the application stack, from user interfaces to server-side logic, AI/ML frameworks, Cloud, and modern automation tools, combined with a desire for solving complex problems.

Key Responsibilities & Skills
Develop and Implement (generative) AI products and applications
  • Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch
  • Experience with model architecture design
  • Knowledge of computer vision and image processing techniques
  • Experience with real-time data processing and streaming technologies
  • Expertise in front end technologies like React or Flutter, responsive design principles,
  • Expertise in back-end development using Node.js, Python including expertise in RESTful APIs, microservices architecture and integration
  • Proficiency in DevOps practices, CI/CD pipelines, and containerization
  • Understanding of data integration
Technical Leadership:
  • Provide technical guidance to development teams during implementation, ensuring adherence to architectural standards.
  • Conduct code reviews, performance tuning, and troubleshooting of complex issues.
  • Ensure solutions compliance with industry standards and security best practices
  • Manage the full engineering lifecycle, from research and development to deployment and optimization:
  • Collaborate with cross-functional teams to define project goals, develop solutions and ensure seamless deployment
  • Collaborate with cross-functional teams to define project goals, develop solutions and ensure seamless deployment
  • Contribute to proofs-of-concept (PoCs) and pilot projects to validate new ideas
Qualifications
  • 10+ years of hands-on software development experience
  • Minimum 2 years of experience in generative AI engineering
  • Strong background in automation technologies
  • Exceptional problem-solving and analytical skills.
  • Strong communication skills to articulate complex technical concepts to non-technical stakeholders.
  • Ability to work collaboratively in a fast-paced, agile environment.
  • Strong background in automation technologies
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