SDE III AI and Analytics - Responsibilities
- Lead and mentor developers, promoting innovation, quality, and improvement.
- Design, build, and deploy scalable AI-driven analytics solutions, using RAG, AI agents, and foundational models.
- Collaborate to architect scalable, secure, and performant AI-driven microservices.
- Utilize cloud services (AWS Bedrock, Lambda, EC2, S3, RDS) for efficient solutions.
- Evaluate AI models (OpenAI, Anthropic, Amazon Titan), considering latency, cost, and scalability.
- Ensure code quality through code reviews.
- Address technical challenges and provide solutions.
- Work with product managers, designers, and stakeholders to align technical solutions with business goals.
Requirements
- Bachelor's/Master's in Computer Science/Engineering.
- 5+ years of Senior/Lead Engineer experience in Python, NodeJS, or Go.
- Strong experience with AI/ML, including RAG and AI Agents.
- Familiarity with AWS Bedrock is advantageous.
- Experience with Typescript and API frameworks (Express) preferred.
- Good understanding of SQL/NoSQL databases.
- Experience deploying scalable solutions in cloud environments (AWS).
- Proficient in deploying containerized applications (Docker, Kubernetes, ECS).
- Knowledge of DevOps and Infrastructure as Code (AWS CloudFormation).
- Exceptional leadership and communication skills.
- Proven ability to own features in an agile environment.