Artificial Intelligence Software Engineer
5 days ago
About the Role
We are seeking an experienced AI Software Engineer with a strong background in Python development, API building, and proficiency in AI/ML frameworks. The ideal candidate will bring at least 5 years of core software development experience, along with expertise in designing and implementing scalable solutions using cutting-edge generative AI technologies.
Responsibilities:
- Design, develop, and deploy robust, scalable APIs using Python to power AI & GenAI applications.
- Collaborate with cross-functional teams to integrate AI-driven features and optimize system architecture.
- Utilize frameworks like LangChain (or similar) to build end-to-end GenAI solutions, incorporating LLMs and advanced NLP techniques.
- Write clean, maintainable, and efficient code, following best practices in software engineering.
- Participate in code reviews, ensuring code quality, security, and performance.
- Integrate and optimize AI/ML models within application workflows to enhance functionality.
- Debug, troubleshoot, and resolve performance bottlenecks, ensuring high availability and responsiveness.
- Contribute to the development and improvement of CI/CD pipelines to streamline the development and deployment processes.
- Stay up-to-date with the latest trends in GenAI and NLP technologies, continuously improving systems and processes.
Qualifications:
- 5+ years of experience in software development with a focus on Python.
- Expertise in building APIs using Python frameworks such as Flask, FastAPI, or Django.
- Hands-on experience with AI/ML libraries such as PyTorch, TensorFlow, or Hugging Face Transformers.
- Knowledge of GenAI technologies and frameworks such as LangChain, OpenAI APIs, or similar.
- Proficiency in designing and implementing RESTful services and working with microservices architectures.
- Experience working with databases (SQL and NoSQL), and integrating them within applications.
- Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
- Understanding of DevOps practices, including CI/CD pipelines, version control (Git), and cloud platforms (AWS, Azure, or GCP).
- Strong problem-solving skills and ability to work both independently and as part of a collaborative team.
- Excellent verbal and written communication skills.
Estimated Salary: $140,000 - $160,000 per year, depending on location and experience.
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