Lead AWS Devops Engineer with AI Job at Apptad Inc, Bellevue, WA

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  • Apptad Inc
  • Bellevue, WA

Job Description

REQUEST ID: 23308-1
CLIENT POC (MSP OWNER): Moorthyrao, Kishore
BILL RATE: $85/hr
BUILD RATE: Not Provided
JOB TITLE: ML Engineer II
LOCATION: Bellevue, WA (T-Mobile 3305 160th)
WORK TYPE: Not Specified (Candidate Virtual/Remote Location State field is blank)
MANDATORY SKILLS:
Generative AI:
LLM Orchestration
AI Agent Development
Agent/Skill Creation
Retrieval-Augmented Generation (RAG)
GenAI Evaluation & Monitoring
Cloud / DevOps:
Docker
Kubernetes
Helm Charts
CI/CD Pipelines
GitLab CI
Blue-Green Deployments
Canary Deployments
Feature Flags
Automated Rollbacks
Programming / Engineering:
Software Architecture & Design
Enterprise Application Development
Automation Development
API Integrations
Distributed Systems Troubleshooting
Observability:
Monitoring
Alerting
Tracing
Operational Telemetry
Dashboard Development
Data / Analytics:
SQL
ETL Processes
Data Warehousing
Snowflake (Preferred)
Reporting / BI:
Power BI
Streamlit
Tableau
Documentation:
Technical Writing
Architecture Documentation
JOB DESCRIPTION:
We are seeking an ML Engineer II to design, build, deploy, and support enterprise-scale Generative AI software solutions in high-availability environments.
Key Responsibilities:
Design, architect, and deploy GenAI-enabled software solutions
Build AI agents and reusable GenAI components
Develop RAG-based applications and LLM orchestration workflows
Create automation for release operations and engineering workflows
Build containerized applications using Docker and Kubernetes
Author Helm charts and manage deployments
Build and maintain GitLab CI/CD pipelines
Develop dashboards and operational reporting
Implement monitoring, alerting, tracing, and telemetry solutions
Troubleshoot production issues across applications, infrastructure, APIs, and distributed systems
Mentor junior engineers and contribute to technical decisions
Implement AI engineering standards, governance, and security guardrails
Produce technical and architecture documentation
Collaborate with Product, Platform Engineering, SRE, Security, UX, and Engineering teams
EXPERIENCE REQUIRED:
Bachelor's Degree + 4 years related experience OR Advanced Degree + 2 years experience
Degree in Computer Science or Engineering
4 7 years of technical engineering experience
Hands-on experience building and shipping production GenAI applications
Experience with AI agents, RAG, and LLM-based systems
Experience with Kubernetes, Docker, Helm, and CI/CD
Experience with SQL, ETL, and Data Warehousing
Experience creating dashboards and reporting solutions
Experience mentoring engineers and working cross-functionally

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