FullStack AWS AI Engineer

We are seeking a Full Stack AWS AI Engineer (5+ Years) to design, build, and scale cloud native, AI powered applications on AWS. This role blends front end and back end engineering, machine learning / GenAI integration, and AWS cloud architecture, with strong emphasis on security, scalability, and production readiness. The engineer will work closely with product, data science, and platform teams to operationalize AI capabilities into real world applications.

Key Responsibilities:

Agentic & GenAI:

• Design, develop, and deploy Agentic and Generative AI solutions using AWS AI services (Amazon SageMaker, Bedrock, Rekognition, Textract, Transcribe, Translate).

• Integrate foundation models / LLMs into applications using Bedrock or custom model endpoints.

• Build AI pipelines for inference, prompt orchestration, fine tuning, and evaluation.

• Implement responsible AI practices including auditability, explainability, bias mitigation, and model governance.

AWS Cloud Architecture & DevOps:

• Architect and deploy cloud native solutions using AWS core services:

• EC2, Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, Aurora, Step Functions.

• Implement Infrastructure as Code (IaC) using CloudFormation, CDK, or Terraform.

• Design CI/CD pipelines leveraging GitHub Actions, AWS Code Pipeline, or similar tools.

• Optimize performance, availability, and cost using AWS Well Architected Framework principles.

Security, Compliance & Operations:

• Enforce AWS security best practices (IAM, KMS, VPC design, encryption at rest/in transit).

• Implement monitoring, logging, and alerting using CloudWatch, XRay, and OpenSearch.

• Support compliance requirements (SOC2, ISO, financial services governance where applicable).

• Participate in production support, troubleshooting, and performance tuning.

Required Qualifications:

Technical Skills:

• Strong experience in full stack development (front end + backend).

• Hands-on expertise with AWS services and cloud native architectures.

• Practical experience building or integrating Agentic or Generative AI solutions.

• Proficiency in at least one backend language (Python preferred).

• Experience with REST APIs, microservices, and asynchronous processing.

• Familiarity with containerization (Docker) and orchestration (ECS/EKS).

Engineering & Delivery

• Experience building production grade systems, not just prototypes.

• Strong understanding of software design patterns, scalability, and resilience.

• Ability to translate business problems into technical AI solutions.

• Experience working in Agile / DevOps teams.
  
  

The pay range that the employer in good faith reasonably expects to pay for this position is $39.30/hour - $61.40/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.