AI Full Stack Developer

54 minutes ago


Mumbai, Maharashtra, India Job Listings by Babblebots Full time ₹ 22,50,000 - ₹ 35,92,000 per year

Job Post for Atrina Technologies

Job Title:
AI Full Stack Developer

Location: Goregaon, Mumbai

Experience: 4-7 years of experience

Role:

We are looking for an experienced
AI Full Stack Developer
to join our engineering team and contribute to building scalable, high-performance platforms powered by modern AI technologies. The role involves designing and developing end-to-end applications, integrating advanced LLM-based capabilities, and ensuring seamless deployment across cloud environments. The ideal candidate brings strong full-stack expertise, hands-on experience with AI/LLM ecosystems, and the ability to collaborate closely with cross-functional teams to deliver high-quality, reliable, and efficient solutions.

Job Responsibilities:

  • Designing and developing end-to-end AI-powered applications, including backend services, APIs, and front-end interfaces.
  • Building scalable microservices and APIs using frameworks such as / .NET / Python (FastAPI/Flask) to integrate AI/ML models.
  • Working with cross-functional teams (product, data science, ML engineers, QA) to gather requirements and convert them into robust technical solutions.
  • Implementing LLM and GenAI workflows, vector embeddings, RAG pipelines, and prompt-engineering–based architectures.
  • Developing clean, modular, and maintainable code following industry best practices and secure coding standards.
  • Conducting unit testing, debugging, and model evaluation to ensure reliability and correctness of both traditional and AI-driven components.
  • Troubleshooting production issues, optimizing performance across the stack, and ensuring high availability and scalability.
  • Participating in architectural discussions and contributing to solution design, model integration patterns, and MLOps strategy.
  • Conducting code reviews and providing constructive feedback to maintain consistent code quality.
  • Deploying and maintaining applications on cloud platforms (Azure/AWS/GCP) and working with CI/CD pipelines for seamless delivery.
  • Working closely with project managers to ensure timely delivery while maintaining technical ownership and accountability.
  • Sharing knowledge within the team and mentoring junior developers in full-stack and AI development best practices.

Skills & Qualifications

  • Technical Skills
  • 4-7 years of experience as a Full Stack Developer, with
    1.5+ years in AI/LLM development
    .
  • Strong backend development skills using
    , NestJS, Python, or .NET Core
    .
  • Proficiency in front-end technologies:
    Angular, React, or
    , along with HTML, CSS, and JavaScript/TypeScript.
  • Hands-on experience integrating
    LLMs, vector databases, embeddings
    , and AI frameworks such as
    Azure OpenAI, OpenAI, LangChain, and LangGraph
    .
  • Solid understanding of
    software architecture
    , OOP principles, and design patterns.
  • Experience with relational databases (
    PostgreSQL / MySQL
    ) and familiarity with NoSQL / vector databases.
  • Strong version-control experience with
    GitHub, GitLab, Azure Repos
    , and collaborative branching strategies.
  • Exposure to
    Agile/Scrum
    development.
  • Experience creating and maintaining
    CI/CD pipelines
    using Azure DevOps, GitHub Actions, or Jenkins.
  • Cloud deployment experience on
    Azure, AWS, or GCP
    ; containerization experience with
    Docker/Kubernetes
    is a plus.
  • Excellent debugging, optimization, and analytical skills.

Soft Skills

  • Strong communication and documentation abilities.
  • Proven ability to collaborate effectively with product, AI/ML, DevOps, and QA teams.
  • A problem-solving mindset with attention to detail, performance, and scalability.

Educational Qualifications:

  • Bachelor's or Master's degree in
    Computer Science, Information Technology, Engineering
    .
  • Relevant certifications in cloud technologies, DevOps, or AI/ML will be an added advantage.

Benefits:

  • Actual salaries will vary depending on a candidate's experience, qualifications, skills and location.
  • Medical Insurance
  • Paid Leaves
  • Flexible work schedules
  • Development and career growth opportunities
  • Open Time Off


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