Hybrid AIML Engineer

Title: Hybrid AI/ML Engineer
Pay Rate: $60.00/hr DOE
Employment Type: Contract
Est. End Date: January 2027
Schedule: Full-time Monday Friday 9:00 AM 6:00 PM
Location: Stanford CA 94305 (Hybrid 2 days onsite)
Job Code: JPC-1464457

Tekberry is looking for a highly qualified and motivated AI/ML Engineer to work hybrid with our client a top-tier university engineering program driving innovation in cloud-native AI systems. As a W2 employee you will have access to health benefits.

AI Application & Systems Development
Design and implement AI systems combining GenAI narrow AI and traditional ML models.
Build retrieval-augmented generation (RAG) systems multi-agent architectures and protocol-driven AI (e.g. MCP).
Integrate AI into production-grade applications using AWS serverless and containerized services (Lambda Fargate ECS).
Fine-tune and optimize models for performance latency and reliability.
Build and maintain data pipelines for training evaluation and monitoring using AWS Glue S3 Step Functions Kinesis.

Cloud & Infrastructure Engineering
Architect scalable AWS AI workloads (SageMaker Bedrock API Gateway IAM EventBridge).
Build microservices and APIs that integrate AI workloads into campus applications.
Develop automated CI/CD pipelines and ensure observability and monitoring of deployed systems.
Apply infrastructure-as-code (CloudFormation) and containerization best practices (Docker).
Ensure data security and compliance (FERPA GDPR).

Collaboration & Continuous Improvement
Work with cross-functional teams to build integrated AI solutions.
Use Git-based workflows participate in code reviews and collaborate within an agile development cycle.
Support documentation internal knowledge sharing and mentoring as the program scales.

Required
Bachelors degree in Computer Science AI/ML Data Engineering or related field (Masters preferred).
3 years developing and deploying AI/ML applications in production.
2 years hands-on AWS experience (serverless microservices CI/CD IAM).
Strong Python programming experience.
Experience designing automated data pipelines for inference and model monitoring.
Experience with GenAI and traditional ML in applied production environments.

Technical Skills
Python required; familiarity with Go Rust R or TypeScript preferred.
AI/ML frameworks: PyTorch TensorFlow LangChain LlamaIndex.
AWS services: SageMaker Bedrock Lambda ECS/Fargate API Gateway EventBridge Glue Step Functions IAM CloudWatch.
Infrastructure as Code: CloudFormation.
DevOps: Git Docker CI/CD (GitHub Actions or CodePipeline).
Databases: SQL/NoSQL vector databases AWS-native data tools.

Desired Attributes
Strong understanding of AI system design and data engineering fundamentals.
Excellent problem-solving and communication skills.
Passion for ethical and practical AI in education and operations.
Thrives in a fast-paced evolving engineering environment.

We need hard-working reliable employees. Tekberry offers a $100 payment for referrals!

Tekberry Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability or any other protected categories under all applicable laws.
Tekberry Inc is a Certified Minority Business Enterprise (MBE) and Certified Disadvantaged Business Enterprise (DBE).

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