Posted:5 months ago| Platform: Linkedin logo

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Responsibilities: 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 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 tracking1. Utilize containerization technologies such as Docker and Kubernetes for efficient deployment and scaling of applications3. Leverage cloud platforms such as AWS, Azure, or GCP for infrastructure and services3. Design and implement data pipelines for efficient data ingestion, transformation, and storage4. Ensure data quality and security throughout the data lifecycle5. Mentor junior engineers and foster a culture of innovation, collaboration, and continuous learning. Qualifications: 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. Show more Show less

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