1181 IT & Software Developer jobs in the US
AI Engineer / Data Scientist
$123,000 - 163,000
Kforce Technology Staffing
East Pioneer Road 1020, Draper
$123,000 - 163,000
Requirements
Must:
- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field
- Over 2 years of practical experience in data science, machine learning engineering, or applied AI in a dynamic, production-focused setting
- High proficiency in Python, including skills in pandas, scikit-learn, and PySpark
- Strong SQL expertise for extensive data analysis and feature engineering
- Proven capability in designing, fine-tuning, and evaluating machine learning models, with a deep understanding of evaluation metrics and trade-offs
- Familiarity with vector embeddings, similarity search, and retrieval frameworks
- Practical knowledge of large language models (LLMs), including prompt engineering, API/SDK integration, multimodal approaches, and fine-tuning techniques
- Experience with agentic development frameworks (preferably LangGraph) and orchestration patterns, sub-agents, and tool integration
- Proficient in utilizing AI-assisted coding tools, with a focus on correctness, testing, and maintainability
- Understanding of the agentic software lifecycle, including evaluation, observability, failure modes, and iterative enhancement in production
- Awareness of responsible AI principles, including issues of bias, fairness, and governance in deployed systems
- Ability to convert business challenges into scalable AI/ML solutions and effectively communicate with both technical and non-technical audiences
- Experience collaborating cross-functionally in Agile settings, with comprehensive documentation practices
- Knowledge of model deployment and MLOps methodologies, including CI/CD, monitoring, and reproducibility
Responsibilities
- Design, construct, and enhance machine learning models, such as classification, regression, clustering, and recommendation systems
- Develop and implement LLM-based solutions, including prompt optimization, retrieval-augmented generation (RAG) pipelines, fine-tuning, and multimodal models
- Create and manage agentic AI workflows (LangGraph or equivalent), incorporating tool utilization, decision frameworks, and long-duration agent execution
- Utilize AI-assisted development tools (e.g., Claude Code or similar) to speed up software development, testing, and code refinement while ensuring high quality and accuracy
- Design and execute modular sub-agents and reusable tools, applying robust software engineering and data science principles throughout the agent lifecycle (design, build, evaluate, deploy, and iterate)
- Employ embeddings and vector search methodologies to facilitate NLP, semantic search, and retrieval applications
- Process and analyze extensive datasets using Python (pandas, scikit-learn, PySpark) and SQL
- Apply MLOps best practices, including CI/CD pipelines, model versioning, monitoring, evaluation, and reproducibility
- Assess model and LLM performance in a production context utilizing offline, online, and incremental evaluation techniques
- Convert complex analytical findings into clear, actionable insights for both technical and non-technical stakeholders
Description
We are a dynamic company located in Draper, UT, seeking an AI Engineer/Applied Data Scientist to join our team. In this role, you will work at the crossroads of AI engineering and applied data science, where you will design, develop, and deploy innovative machine learning and agent-based AI systems that enhance real-world products and decision-making. We offer competitive compensation, comprehensive benefits including medical, dental, and vision insurance, retirement plans, and paid time off for salaried employees. Join us in a collaborative environment that values your expertise and promotes continuous growth.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 1181 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
micro1, Brain Box, Consultation Devpresso Inc, Surpass Solutions Inc, Lauserco Inc., Tactable, D3 Security Management Systems among others, are currently hiring for Data roles in the United States.
The company with most openings is Kforce Technology Staffing as they are hiring for 77 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Kforce Technology Staffing as they are hiring for 77 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.