Must have

• Python

• LLMs

• FastAPI

• Flask

• Django

• Cloud

• SQL

• NoSQL

• English

Nice to have

• GCP

• MLOps

Requirements description

You Must Have:

• a minimum of 3-5 years of software engineering experience with strong proficiency in Python and modern software development practices,
• a genuine interest in AI application development, in particular in Generative AI applications and Large Language Model (LLM) integration,
• experience with web frameworks (FastAPI, Flask, Django) and building RESTful APIs for AI services,
• proficiency with cloud platforms (preferably GCP) and containerization technologies (Docker, Kubernetes) for deploying AI applications,
• strong knowledge of software architecture patterns, particularly microservices and event-driven architectures,
• experience with databases (both SQL and NoSQL) and data processing frameworks relevant to AI applications,
• familiarity with version control systems, automated testing, and CI/CD pipelines,
• excellent problem-solving skills and ability to debug complex issues in distributed AI systems,
• strong communication skills to collaborate effectively with external clients as well as cross-functional teams, including ML engineers, data scientists, and engineering managers.

Bonus Skills:

• solid understanding of machine learning concepts and hands-on experience integrating ML models into production applications,
• knowledge of vector databases and similarity search systems for AI applications,
• experience with real-time streaming data processing and event-driven architectures,
• familiarity with MLOps tools and practices, including model monitoring and automated retraining pipelines,
• background in distributed systems and high-performance computing,
• experience with frontend technologies for building AI-powered user interfaces,
• professional cloud certifications, preferably Google Cloud Platform (GCP), with AWS and Azure also valued.

Offer description

deepsense.ai is seeking a talented AI Software Engineer to join our team, focusing on building robust, scalable AI-powered applications and systems. In this role, you'll bridge the gap between traditional software engineering and cutting-edge AI technologies, working closely with our machine learning engineers and data scientists to create production-ready AI solutions. Your expertise will drive the development of intelligent applications that solve real-world problems across diverse industries.

Your responsibilities

1. design and develop custom AI-powered applications and services, integrating machine learning models into production software systems,
2. build robust APIs and microservices that serve AI models with high availability, performance, and reliability,
3. collaborate with ML engineers to implement model serving infrastructure and real-time inference pipelines,
4. develop AI application frameworks and tools that enable rapid deployment of client-specific features,
5. implement comprehensive testing strategies and optimize application performance for AI-intensive workloads,
6. design data pipelines supporting AI applications with proper validation and preprocessing,

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