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Senior AI / Agentic AI Engineer - Machine Learning & Data Science

eTeam
2 hours ago
Full-time
On-site
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.