Staff Software Engineer AI
New
Flexibility to work from anywhere in the United StatesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 7+ years of software engineering experience, with proven experience in cutting-edge technologies. 3+ years leading multi-team engineering initiatives for building features in distributed application systems. 5 or more years of experience with Data Science, NLP, and AI projects.
- Required Skills
- DockerPythonArtificial IntelligenceJavaKubernetesData sciencegRPCRESTful APIsMicroservicesSoftware EngineeringNLPGenerative AI
Requirements
- Bachelor's Degree in Computer Science or related fields; Master's Degree in Data Science preferred
- 7+ years of software engineering experience, with proven experience in cutting-edge technologies
- 3+ years leading multi-team engineering initiatives for building features in distributed application systems
- 5 or more years of experience with Data Science, NLP, and AI projects
- Proficiency in one or more industry-standard programming languages (e.g., Java, Python)
- Experienced in APIs using modern protocols like REST and gRPC
- Knowledgeable in microservices architecture and containerization technologies like Docker and Kubernetes
- Strong communication skills and ability to collaborate across teams
Responsibilities
- Apply Generative AI techniques to solve complex business problems by identifying opportunities where AI can enhance existing software systems and create new intelligent features
- Integrate Generative AI models and capabilities into production software applications
- Evaluate and select appropriate Generative AI models, tools, and techniques for specific use cases
- Write high-quality code that combines traditional software engineering with AI components
- Lead design and code reviews for AI-enhanced applications
- Lead multiple sprint teams to deliver AI-powered features and improvements
- Collaborate with product managers, data scientists, and engineering teams to identify AI opportunities
- Mentor engineers on effectively incorporating AI into their software development practices
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