Senior AI/ML Engineer — Build & Deploy Production GenAI

Atlas Technologies, Inc.; Missouri; On-site; USD 140,000 - 190,000; Full time

Job summary

Atlas Technologies, Inc. is seeking a Senior Applied AI/ML Engineer to design, build, and operate advanced AI/ML solutions that solve high-impact mission, operational, and business problems.

You will lead solution architectures, select models, develop experiments, and translate complex concepts into working capabilities for end users. The role blends research, prototyping, and practical engineering in production environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Engineering, or related field.
• 3+ years of experience in applied AI/ML engineering, including production deployments.
• Experience with LLMs, fine‑tuning, retrieval‑augmented generation (RAG), prompt engineering, or custom model training.
• Experience with vector databases, high‑dimensional embeddings, and semantic search.

Responsibilities

• Design, build, and deploy scalable AI/ML tools for generative AI use cases.
• Develop end‑to‑end ML pipelines, including LLM tool integration, data ingestion, feature engineering, model training, evaluation, and monitoring.
• Implement production‑grade inference systems and integrate ML models into applications, APIs, and microservices.
• Lead experimentation, define hypotheses, run evaluations, assess model performance, and identify improvement strategies.
• Mentor junior engineers and contribute to internal standards, coding practices, and reusable components.
• Ensure responsible AI practices, bias evaluation, data governance, model explainability, and ethical use of automated systems.

Skills

Python

LLMs

Prompt engineering

ML pipelines

Distributed systems

CI/CD

LangChain

Vector DBs

RAG

Reinforcement learning

Education

Bachelor's or Master's in CS/ML

Tools

TensorFlow

PyTorch

Hugging Face

SageMaker

Databricks

Job description

Atlas Technologies, Inc. is seeking a Senior Applied AI/ML Engineer to design, build, and operate advanced AI/ML solutions that solve high-impact mission, operational, and business problems.

You will lead solution architectures, select models, develop experiments, and translate complex concepts into working capabilities for end users. The role blends research, prototyping, and practical engineering in production environments.