Senior Applied AI/ML Engineer: Production AI Solutions

Atlas Tech; Iowa; On-site; USD 130,000 - 190,000; Full time

Job summary

Atlas Tech is seeking a Senior Applied AI/ML Engineer to design, build, and deploy scalable AI/ML solutions that drive mission-critical outcomes. You will lead architecture decisions, develop end‑to‑end ML pipelines, and integrate models into production applications and microservices.

You will mentor engineers, evaluate new AI technologies, and ensure responsible AI practices across projects, with a focus on delivering measurable real-world impact for stakeholders.

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.
• Experience applying LoRA adapters for efficient fine-tuning of foundation models, including training, evaluation, and integration into production pipelines.
• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, or similar.
• Experience building and operating AI/ML systems in air-gapped environments.
• Deep understanding of model development: supervised/unsupervised learning, neural networks, transformers, time-series, embeddings.
• Familiarity with modern AI/ML ops tooling: MLflow, SageMaker, Vertex AI, Databricks, or equivalent.
• Strong understanding of API design, microservices, containers, and CI/CD for ML.
• Ability to connect technical solutions to business value and communicate effectively with executives and non-technical stakeholders.

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.
• Work with engineering teams to build robust, secure, and maintainable AI-enabled architectures.
• Provide prompt tuning to resolve hallucinations, biases, or terminology changes.
• Partner with domain SMEs to translate constraints into features, labels, and model requirements.
• Evaluate emerging AI technologies and recommend their use in mission-relevant applications.
• Mentor junior engineers and contribute to internal standards and reusable components.
• Ensure responsible AI practices, data governance, explainability, and ethical use of automated systems.
• Prepare demos, prototypes, and PoC integrations to illustrate feasibility and value.

Skills

Python

ML libraries

LLMs

Fine-tuning

RAG

Embeddings

LoRA adapters

API design

Containers

CI/CD for ML

MLOps tooling

Education

Bachelor's or Master's in CS/ML/DS/Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Hugging Face

LangChain

MLflow

SageMaker

Vertex AI

Databricks

Job description

Atlas Tech is seeking a Senior Applied AI/ML Engineer to design, build, and deploy scalable AI/ML solutions that drive mission-critical outcomes. You will lead architecture decisions, develop end‑to‑end ML pipelines, and integrate models into production applications and microservices.

You will mentor engineers, evaluate new AI technologies, and ensure responsible AI practices across projects, with a focus on delivering measurable real-world impact for stakeholders.