

Apex Systems
AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer, fully remote with potential quarterly travel to Washington, D.C. The contract lasts over 6 months, offering a competitive pay rate. Required skills include AI/ML engineering, LLM experience, and proficiency in Python and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
416
-
🗓️ - Date
August 13, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Washington, DC
-
🧠 - Skills detailed
#NLP (Natural Language Processing) #Clustering #AI (Artificial Intelligence) #Deployment #Tableau #Sentiment Analysis #Mathematics #Stories #GIT #MongoDB #Version Control #Computer Science #Classification #DynamoDB #Scala #Visualization #Datasets #Databases #S3 (Amazon Simple Storage Service) #BI (Business Intelligence) #Azure DevOps #AWS SageMaker #Distributed Computing #NoSQL #PyTorch #CLI (Command-Line Interface) #Deep Learning #ML (Machine Learning) #Monitoring #AWS (Amazon Web Services) #Data Science #Programming #SQL (Structured Query Language) #Lambda (AWS Lambda) #Anomaly Detection #Microsoft Power BI #Elasticsearch #DevOps #Python #Leadership #SageMaker #Linux #Azure #Keras #Cloud
Role description
Job#: 3046041
Job Description:
AI Engineer
Location: Fully Remote with potential for quarterly travel to Washington, D.C.
Role Overview
We are seeking an AI Engineer to develop solutions using generative AI, agentic systems, machine learning (ML), Large Language Models (LLMs), and prompt engineering. You will design, build, and deploy scalable solutions in distributed and cloud environments, leveraging large and text-based datasets to solve challenges and drive innovation.
Key Responsibilities
• Build and deploy agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution.
• Implement end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
• Develop LLM-based features such as retrieval-augmented generation (RAG) with citations, text summarization, and embedding pipelines.
• Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired outcomes.
• Work with Large Language Models (LLMs) such as Claude, GPT, Gemini, Llama, etc. via APIs or cloud AI platforms to develop solutions for specific tasks.
• Evaluate and test GenAI features, including building test sets, grounding and citation checks, LLM-as-judge scoring, and production quality monitoring.
• Design, develop, and optimize machine learning models using Python.
• Deploy and manage solutions in distributed and cloud environments.
• Collaborate with cross-functional teams to guide business decisions.
Required Qualifications
• A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a Mathematics field is required.
• Must have 2+ years of hands-on AI/ML engineering experience, including demonstrable LLM application work. This includes experience building agentic AI systems or a strong working knowledge of agent architectures and frameworks such as LangGraph, CrewAI, Strands, or AutoGen. Experience in machine learning areas like classification, clustering, anomaly detection, sentiment analysis, and NLP problems is also required. Must be adept at working on multiple projects, meeting deadlines, and managing expectations.
• A working knowledge of the modern LLM stack (prompt engineering, RAG, embeddings, structured outputs) is necessary. Programming experience with Python and iPython notebooks, along with SQL skills, is required. Candidates must have the ability to think critically about AI or ML system design and experience evaluating AI/ML systems. Excellent communication skills are needed to communicate with technical and business users. Must demonstrate the ability to learn new tools and paradigms.
Preferred Qualifications
• Experience with prompt engineering techniques such as few-shot learning, zero-shot learning, and chain-of-thought prompting.
• Experience with cloud platforms (AWS or Azure) and their AI/ML services (e.g., AWS Bedrock, AWS SageMaker, Azure OpenAI) and core services like S3 and Lambda functions.
• Experience using deep learning frameworks such as PyTorch or Keras.
• Experience in MLOps to operationalize and monitor models.
• Familiarity with search and vector retrieval such as Elasticsearch, Solr, or vector databases.
• Familiarity with version control systems (Git) and platforms like Azure DevOps.
• Familiarity with Linux and cloud CLI tools.
• Experience creating interactive data visualizations and dashboards in Tableau, Power BI, or other tools.
• Experience with distributed NoSQL databases such as MongoDB or DynamoDB.
• Ability to build full stack systems architected for speed and distributed computing.
PLEASE NOTE: Candidates must be able to obtain and/or maintain a Public Trust clearance as a condition and continuation of employment.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.apexsystems.com/privacy-policy
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.
© 2026 Everforth, Inc. All rights reserved.
Everforth Apex Systems is part of the Commercial Segment of Everforth, Inc.
NYSE: EFOR
4400 Cox Road
Suite 200
Glen Allen, Virginia 23060
Everforth Apex is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. (Do not submit resumes or solicit consultants to this email address). UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex.
Job#: 3046041
Job Description:
AI Engineer
Location: Fully Remote with potential for quarterly travel to Washington, D.C.
Role Overview
We are seeking an AI Engineer to develop solutions using generative AI, agentic systems, machine learning (ML), Large Language Models (LLMs), and prompt engineering. You will design, build, and deploy scalable solutions in distributed and cloud environments, leveraging large and text-based datasets to solve challenges and drive innovation.
Key Responsibilities
• Build and deploy agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution.
• Implement end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
• Develop LLM-based features such as retrieval-augmented generation (RAG) with citations, text summarization, and embedding pipelines.
• Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired outcomes.
• Work with Large Language Models (LLMs) such as Claude, GPT, Gemini, Llama, etc. via APIs or cloud AI platforms to develop solutions for specific tasks.
• Evaluate and test GenAI features, including building test sets, grounding and citation checks, LLM-as-judge scoring, and production quality monitoring.
• Design, develop, and optimize machine learning models using Python.
• Deploy and manage solutions in distributed and cloud environments.
• Collaborate with cross-functional teams to guide business decisions.
Required Qualifications
• A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a Mathematics field is required.
• Must have 2+ years of hands-on AI/ML engineering experience, including demonstrable LLM application work. This includes experience building agentic AI systems or a strong working knowledge of agent architectures and frameworks such as LangGraph, CrewAI, Strands, or AutoGen. Experience in machine learning areas like classification, clustering, anomaly detection, sentiment analysis, and NLP problems is also required. Must be adept at working on multiple projects, meeting deadlines, and managing expectations.
• A working knowledge of the modern LLM stack (prompt engineering, RAG, embeddings, structured outputs) is necessary. Programming experience with Python and iPython notebooks, along with SQL skills, is required. Candidates must have the ability to think critically about AI or ML system design and experience evaluating AI/ML systems. Excellent communication skills are needed to communicate with technical and business users. Must demonstrate the ability to learn new tools and paradigms.
Preferred Qualifications
• Experience with prompt engineering techniques such as few-shot learning, zero-shot learning, and chain-of-thought prompting.
• Experience with cloud platforms (AWS or Azure) and their AI/ML services (e.g., AWS Bedrock, AWS SageMaker, Azure OpenAI) and core services like S3 and Lambda functions.
• Experience using deep learning frameworks such as PyTorch or Keras.
• Experience in MLOps to operationalize and monitor models.
• Familiarity with search and vector retrieval such as Elasticsearch, Solr, or vector databases.
• Familiarity with version control systems (Git) and platforms like Azure DevOps.
• Familiarity with Linux and cloud CLI tools.
• Experience creating interactive data visualizations and dashboards in Tableau, Power BI, or other tools.
• Experience with distributed NoSQL databases such as MongoDB or DynamoDB.
• Ability to build full stack systems architected for speed and distributed computing.
PLEASE NOTE: Candidates must be able to obtain and/or maintain a Public Trust clearance as a condition and continuation of employment.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.apexsystems.com/privacy-policy
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.
© 2026 Everforth, Inc. All rights reserved.
Everforth Apex Systems is part of the Commercial Segment of Everforth, Inc.
NYSE: EFOR
4400 Cox Road
Suite 200
Glen Allen, Virginia 23060
Everforth Apex is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. (Do not submit resumes or solicit consultants to this email address). UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex.






