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Full Stack AI Engineer

Prakash Software Solutions Pvt. Ltd

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Location:
India , Vadodara ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a highly skilled Full Stack AI Engineer to join our team and work under the guidance of Principal Architect to develop and deploy LLM Agents. Agentic AI & Multi-Agent Frameworks. The ideal candidate will have 8-10 years of experience in software engineering, with a strong focus on AI/ML. This role requires excellent problem-solving capabilities and a strong execution mindset to drive the development and deployment of AI-powered solutions.

Job Responsibility:

  • Collaborate with the Principal Architect to design and implement AI agents and multi-agent frameworks
  • Develop and maintain robust, scalable, and maintainable microservices architectures
  • Ensure seamless integration of AI agents , MCP Servers with core systems and databases
  • Develop APIs and SDKs for internal and external consumption
  • Work closely with data scientists to fine-tune and optimize LLMs for specific tasks and domains
  • Implement ML Ops practices, including CI/CD pipelines, model versioning, and experiment tracking
  • Design and implement comprehensive monitoring and observability solutions to track model performance, identify anomalies, and ensure system stability
  • Utilize containerization technologies such as Docker and Kubernetes for efficient deployment and scaling of applications
  • Leverage cloud platforms such as AWS, Azure, or GCP for infrastructure and services
  • Design and implement data pipelines for efficient data ingestion, transformation, and storage
  • Ensure data quality and security throughout the data lifecycle
  • Mentor junior engineers and foster a culture of innovation, collaboration, and continuous learning

Requirements:

  • 8-10 years of experience in software engineering with a strong focus on AI/ML
  • Proficiency in frontend frameworks like React, Angular, or Vue.js
  • Strong hands-on experience with backend technologies like Node.js, Python (with frameworks like Flask, Django, or FastAPI), or Java
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Proven ability to design and implement complex, scalable, and maintainable architectures
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
  • Passion for continuous learning and staying up to date with the latest advancements in AI/ML
  • End-to-end experience with at least one full AI stack on Azure, AWS, or GCP, including components such as Azure Machine Learning, AWS SageMaker, or Google AI Platform
  • Hands-on experience with agent frameworks like Autogen, AWS Agent Framework, LangGraph etc.
  • Experience with databases such as MongoDB, PostgreSQL, or similar technologies for efficient data management and integration

Additional Information:

Job Posted:
March 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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