Senior Backend Engineer

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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