ML engineer with Gen AI

Artifintech; Austin (TX); On-site; USD 180,000 - 280,000; Full time

Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC in Austin seeks an ML Engineer to architect and deploy GenAI solutions, optimizing LLMs and AI workflows. You will collaborate across teams, communicate complex models to leadership, and drive production-grade ML pipelines on AWS.

This role requires 10+ years in ML with GenAI focus, strong Python skills, and expertise with AWS services and modern DL frameworks.

Qualifications

• 10+ years as ML Engineer with 1–2 years in Generative AI or NLP on AWS.
• Strong Python proficiency and use of IDEs (Cursor/AWS Kiro) and deep learning frameworks (PyTorch or TensorFlow).
• Hands-on experience with LLMs (GPT-4, Llama), RAG, LangChain, vector databases, knowledge graphs, and Agentic AI.
• MLOps: Docker, Kubernetes, and CI/CD for ML.
• AWS skills: S3, Lambda, Glue, SageMaker, Bedrock.
• Excellent verbal and written communication; stakeholder management; problem-solving.
• Engineering degree CS or equivalent and ML certification.
• Banking/financial services domain experience – Payments industry.

Responsibilities

• Architect, fine-tune, and deploy LLMs and Generative AI to improve business applications.
• Build and maintain scalable ML pipelines and GPU-based inference in cloud environments.
• Collaborate with product managers, data scientists, and engineers to translate requirements into specs.
• Present AI methodologies, performance results, and trade-offs to non-technical stakeholders and leadership.
• Implement prompt engineering, adversarial testing, and model optimization for quality and safety.
• Stay updated with GenAI research and apply findings to production systems.
• Define project scope, timelines, deliverables, metrics, and coordinate offshore teams.

Skills

ML Engineering

Generative AI

Python

AWS

LLMs

RAG

LangChain

Vector Databases

Knowledge Graphs

Docker

Kubernetes

CI/CD for ML

GitHub Copilot

PyTorch

TensorFlow

Education

Engineering degree (CS)

ML certification

Tools

Cursor

AWS Kiro

SageMaker

Bedrock

S3

Lambda

Glue

Job description

• GenAI Development:Architect, fine-tune, and deploy Large Language Models (LLMs) and Generative AI techniques (e.g., RAG, PEFT/SFT) to improve business applications.
• Production Deployment:Build and maintain high-performance, scalable ML pipelines and GPU-based inference systems in cloud environments (AWS/GCP/Azure).
• Collaboration & Communication:Work closely with product managers, data scientists, and engineers to translate business requirements into technical specifications.
• Stakeholder Engagement:Clearly present AI methodologies, performance results, and technical trade-offs to non-technical stakeholders and leadership.
• Model Optimization:Implement prompt engineering, adversarial testing, and model optimization strategies to ensure high-quality, efficient, and safe outputs.
• Stay Updated:Actively keep up with the latest advancements in GenAI research and incorporate them into our production systems.
• Team and project Coordination:Define project scope, timelines, deliverables, success metrics, co-ordinate with and guide offshore technical team on project deliverables.
  

Required Skills & Qualifications

• Experience:10+ years of experience as an ML Engineer, with at least 1-2 years dedicated to Generative AI or NLP projects, and good experience on AWS cloud platform.
• Technical Expertise:Strong proficiency in Python, and IDEs such as Cursor/AWS Kiro, deep learning frameworks (PyTorch or TensorFlow or), utilizing GitHub co-pilot etc.
• GenAI Proficiency:Hands-on experience with LLMs (e.g., GPT-4, Llama), RAG architectures, LangChain, Vector Databases, Knowledge graphs, and Agentic AI
• MLOps and LLM Ops:Familiarity with Docker, Kubernetes, and CI/CD tools for ML.
• AWS Skills:S3, Lambda, Glue, AWS Sage maker, and AWS Bedrock platform
• Communication Skills:Excellentverbal and written communication skills; ability to articulate complex technical concepts simply.
• Stakeholder Management:Able to collaborate with key business/client stakeholders and manage their expectations
• Problem-Solving:Proven ability to work independently in a fast-paced environment and troubleshoot issues.
  

Preferred Qualifications

• Engineering degree in computer science or equivalent, and relevant certification in Machine learning
• Experience in banking or financial services domain – Payments industry.

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract