AI Engineer

Request ID: 77734-1
Title: AI Engineer:
Locations: Austin, TX
Duration: 6 Months
Salary Range: $53.00- $60.00/Hour on W2 (All inclusive)
Applicants must be able to work on W2 without any Visa sponsorship
Experience Requested- 7+ Years

Job Description:
We are seeking a highly skilled AI Engineer with deep expertise in machine learning operations, cloud-based ETL pipelines, and next-generation AI technologies. The ideal candidate will pilot innovative solutions leveraging Generative AI (GenAI), build and maintain RAG (Retrieval-Augmented Generation) solutions, and collaborate with cross-functional teams to drive data-driven decision-making across the organization.

Key Responsibilities:

• Pilot next-generation technologies to solve complex problems that traditional programming struggles with, using Gen AI or other machine learning techniques.
• Build and maintain RAG solutions to enhance AI-driven applications.
• Develop applications and integrations using Claude, Gemini, or similar LLM SDKs/APIs.
• Design, implement, and manage ETL pipelines on cloud platforms (AWS preferred).
• Use orchestration tools like Airflow and monitoring tools like CloudWatch to manage workflows and notifications.
• Collaborate with cross-functional teams to ensure alignment of ML projects with strategic business goals.
• Develop containerized Python applications to improve data accuracy, accessibility, and reliability.
• Contribute to data governance, improving data quality, standardizing definitions, and onboarding data stewards to manage team KPIs.

Qualifications:

• Proven experience in data engineering, with a strong focus on machine learning operations (MLOps).
• Proficiency in developing ETL pipelines and architecting big data solutions.
• Expertise in at least one cloud platform (AWS preferred) and experience delivering end-to-end projects.
• Strong collaboration and communication skills to work effectively across diverse teams.
• A passion for innovation and the drive to push technological boundaries in ambiguous environments.

Essential Skills:

• Python
• Artificial Intelligence (AI)
• Machine Learning Operations (MLOps)
• ETL Pipeline Development
• Cloud Platforms (AWS preferred)
• Containerization (Docker/Kubernetes)
• Workflow Orchestration (Airflow)
• Monitoring & Alerting (CloudWatch)

Desirable Skills:

• Experience with LLM SDKs/APIs like Claude, Gemini, or similar.
• Familiarity with RAG solutions.
• Strong knowledge of data governance and quality frameworks.