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Senior AI / Agentic AI Engineer - Machine Learning & Data ScienceeTeam • United States
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Senior AI / Agentic AI Engineer - Machine Learning & Data Science

eTeam
  • US
    United States
  • US
    United States
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Über

Job Title: Senior AI / Agentic AI Engineer - Machine Learning & Data Science Location:
Austin, Tx Experience Required:
5+ Years
Technical Hiring Criteria (Must Haves)
Top Required Skills: gentic AI Machine Learning & Data Science SQL / Python
Experience Required: Minimum
5+ years
in each of the above core technologies. Job Summary We are seeking a highly skilled and innovative
Senior AI / Agentic AI Engineer
with expertise in
Agentic AI, Machine Learning, Data Science, SQL, and Prompt Engineering
to join our growing AI team. The ideal candidate will have experience designing and implementing AI-driven systems, developing robust data pipelines, building evaluation frameworks, and creating scalable AI solutions that drive business outcomes.
This role requires a combination of
AI engineering, data analytics, prompt engineering, model evaluation, and software development expertise , along with the ability to collaborate across Product, Research, and Business teams. Key Responsibilities AI & Agentic System Development Design, develop, and optimize
Agentic AI systems
and intelligent workflows for enterprise applications. Create and refine
system prompts and feature-specific prompts
to improve AI model performance and behavior. Build and maintain evaluation frameworks to ensure quality, consistency, and reliability of AI systems. Support AI model launches and monitor performance while identifying and resolving regressions. Machine Learning & Data Science
Develop and implement machine learning models and analytics solutions for business use cases. Design and optimize multi-stage ETL pipelines for transforming raw data into actionable datasets. Build scalable data models and maintain data quality standards. pply statistical methods and machine learning techniques to extract meaningful insights. Data Engineering & Analytics
Understand stakeholder data requirements and translate business needs into technical solutions. Build and manage data pipelines using technologies such as
dbt ,
Airflow , and modern data workflows. Develop dashboards and self-service analytics solutions for cross-functional teams. Create foundational data products and reporting capabilities for organization-wide visibility. Collaboration & Process Improvement
Partner with Product, Engineering, Research, and Business teams to ensure successful feature delivery. Mentor teams on prompt engineering best practices and AI evaluation methodologies. Contribute to AI tooling, frameworks, and infrastructure improvements. Drive innovation and continuously improve AI system performance through experimentation and iteration. Required Qualifications
Bachelor's or Master's degree in
Computer Science, Data Science, Artificial Intelligence, Engineering, or related field . 5+ years of experience
in software engineering, AI/ML engineering, or data science roles. Strong hands-on experience with
Agentic AI, Machine Learning, and Data Science solutions . Strong expertise in
Python and SQL . Experience with
LLMs and Prompt Engineering
in production or research environments. Experience designing and implementing
evaluation frameworks and performance metrics
for AI systems. Expertise in
ETL development, data modeling, and workflow orchestration tools
such as:
dbt irflow GitHub
Experience developing dashboards and reporting solutions using modern BI tools. Strong understanding of version control systems, CI/CD pipelines, and modern software development practices. Excellent written and verbal communication skills. bility to manage multiple priorities and work effectively in fast-paced environments. Preferred Qualifications
Experience working with
frontier AI models and LLM-based systems
in production environments. Background in:
Natural Language Processing (NLP) Machine Learning Generative AI I Safety & Alignment
Experience with experimentation and A/B testing frameworks. Familiarity with AI workflow tooling and infrastructure. Startup experience building scalable AI or analytics functions. Strong analytical mindset with the ability to thrive in ambiguous environments.
  • United States

Sprachkenntnisse

  • English
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