Job Title: Senior Backend Engineer
Location: Remote
Type: Full-time
** Note: This position is with one of our hiring partners
Looking for a seasoned Python Backend Engineer with a strong engineering foundation and proven experience in building large language model (LLM) pipelines, developing AI APIs, and leveraging AWS at scale. Ideal candidates bring a robust technical background, deep Python expertise, and a history of impactful contributions in reputable companies. This role is crafted for professionals who thrive in high-responsibility engineering environments and are ready to drive AI infrastructure at a Principal Backend Engineer level.
Responsibilities
- Design and oversee high-performance backend systems on AWS and GCP, ensuring they are robust and responsive.
- Build and optimize serverless architectures for efficient cloud usage.
- Create and maintain RESTful and WebSocket APIs to deliver data for AI-driven applications.
- Work closely with multidisciplinary teams to define, design, and deliver new functionalities.
- Establish scalable, secure, and efficient workflows for AI across company's products, including workflows for fine-tuning and inferencing generative AI models.
- Engineer custom frameworks for AI agents and multi-agent systems, built from the ground up.
- Manage deployment, testing, and release cycles, overseeing the progression of services from development to UAT and ultimately production.
- Implement security best practices, such as IAM, security groups, and encryption protocols, for all deployments.
- Draft thorough documentation to support clarity and reproducibility.
Required Qualifications
- A minimum of 7 years of experience in designing and implementing large-scale applications and infrastructures.
- Strong proficiency in Python programming.
- Extensive experience with AWS and GCP services, including:
- Compute: EC2, GCE, Lambda, Cloud Functions
- Networking: VPC, Cloud VPN, Transit Gateway, Cloud Interconnect
- Storage: S3, Cloud Storage, EBS, Persistent Disk
- Databases: RDS, Cloud SQL, DynamoDB, Bigtable
- Containers: ECS, GKE, ECR, Container Registry
- Serverless Computing: Lambda, Cloud Functions, API Gateway, Cloud Run
- Monitoring: CloudWatch, Cloud Monitoring, CloudTrail, Cloud Audit Logs
- Proven experience with containerization (Docker) and orchestration (Kubernetes, EKS, GKE).
- Hands-on familiarity with Infrastructure as Code tools (e.g., Terraform, CDK, Cloud Deployment Manager).
- Knowledgeable in generative AI, large language models (LLMs), datasets, fine-tuning processes, and AI inference techniques.
- A problem-solving mindset suited to the dynamic, fast-paced environment of a startup.
- Enthusiasm for developing pioneering AI products.
Benefits
- Competitive compensation package, including salary, equity, and health insurance.
- Flexible time off and remote work options.
- Work with top-tier engineers and cutting-edge technology.
- Opportunity to influence the direction of a forward-thinking AI platform.
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