Overview
On Site
Full Time
Skills
Marketing Intelligence
MI
User Experience
Big Data
API
Software Engineering
FOCUS
Python
SQL
Data Manipulation
Version Control
Git
Docker
Stacks Blockchain
SDK
Machine Learning (ML)
Data Engineering
Management
Generative Artificial Intelligence (AI)
Vector Databases
Data Quality
Accessibility
Prompt Engineering
Large Language Models (LLMs)
Artificial Intelligence
Scalability
Cloud Computing
Google Cloud Platform
Google Cloud
Machine Learning Operations (ML Ops)
Continuous Integration and Development
Continuous Integration
Continuous Delivery
SAP BASIS
Law
IT Service Management
Innovation
Collaboration
Recruiting
Insurance
Finance
Professional Development
Training
Leadership
CompTIA
Customer Service
Career Counseling
Apex
Oracle Application Express
Job Details
Job#: 2083024
Job Description:
Agentic AI Developer
12 Month Contract
$70-80/HR
Hybrid On Site Dearborn MI or Bellevue Seattle
Position Description:Employees in this role are responsible for designing, developing, and deploying cutting-edge Generative AI solutions, with a particular emphasis on Retrieval-Augmented Generation (RAG) systems. This involves leveraging various AI techniques, including vector databases and robust API development frameworks like FastAPI, and ensuring efficient deployment through containerization and MLOps practices, to build intelligent applications that enhance user experience and automate complex processes.Skills Required:Google Cloud Platform, Big Data, Artificial Intelligence & Expert Systems, API * Google Cloud Platform - Mid Level * Big Data - Entry level * Artificial Intelligence & Expert Systems - Entry Level * API : Mid levelSkills Preferred:Google Cloud PlatformExperience Required:Experience Required: * 3+ years of experience in software engineering with a focus on Generative AI, Machine Learning, or related AI fields. Experience Preferred: * Experience deploying AI/ML models into production environments at scale. * Previous experience in a large enterprise or fast-paced technology environment.Experience Preferred:* Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. * Proven experience in building and deploying RAG systems, including the use of **Vector Databases**. * Proficiency in Python programming. * Solid experience with SQL for data manipulation and querying. * Hands-on experience with Google Cloud Platform (Google Cloud Platform) services relevant to AI/ML. * Basic understanding and practical experience with Machine Learning model fine-tuning. * Familiarity with data engineering concepts and practices. * Expertise in prompt engineering techniques for interacting with LLMs. * Experience with the OpenAI SDK. * Experience developing robust APIs, preferably with **FastAPI**. * Proficiency with **version control systems (e.g., Git)**. * Experience with **containerization technologies (e.g., Docker)**.Education Required:Bachelors DegreeEducation Preferred:Certification ProgramAdditional Safety Training/Licensing/Personal Protection Requirements:Additional Information :***POSITIN IS HYBRID*** 1) Design, develop, and implement Generative AI models and applications, specifically focusing on building and optimizing RAG systems, including the integration and management of vector databases, using various technology stacks, with a preference for the OpenAI SDK. 2) Apply fundamental Machine Learning concepts, including model fine-tuning, to improve the performance and accuracy of AI solutions, and deploy them via efficient APIs, such as those built with FastAPI, utilizing containerization for consistent environments. 3) Perform data engineering tasks to prepare, process, and manage data pipelines essential for training, evaluating, and deploying Generative AI models, including data ingestion for vector databases, ensuring data quality and accessibility. 4) Utilize advanced prompt engineering techniques to optimize interactions with large language models and achieve desired outputs, and expose these capabilities through well-designed APIs. 5) Collaborate with cross-functional teams to integrate AI solutions into existing products and services, ensuring scalability, reliability, and maintainability on cloud platforms, particularly Google Cloud Platform (Google Cloud Platform), adhering to MLOps principles and continuous integration/continuous deployment (CI/CD) practices.
EEO Employer
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. 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 Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join 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 ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: 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. 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, 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. 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 Apex team member can provide.
Job Description:
Agentic AI Developer
12 Month Contract
$70-80/HR
Hybrid On Site Dearborn MI or Bellevue Seattle
Position Description:Employees in this role are responsible for designing, developing, and deploying cutting-edge Generative AI solutions, with a particular emphasis on Retrieval-Augmented Generation (RAG) systems. This involves leveraging various AI techniques, including vector databases and robust API development frameworks like FastAPI, and ensuring efficient deployment through containerization and MLOps practices, to build intelligent applications that enhance user experience and automate complex processes.Skills Required:Google Cloud Platform, Big Data, Artificial Intelligence & Expert Systems, API * Google Cloud Platform - Mid Level * Big Data - Entry level * Artificial Intelligence & Expert Systems - Entry Level * API : Mid levelSkills Preferred:Google Cloud PlatformExperience Required:Experience Required: * 3+ years of experience in software engineering with a focus on Generative AI, Machine Learning, or related AI fields. Experience Preferred: * Experience deploying AI/ML models into production environments at scale. * Previous experience in a large enterprise or fast-paced technology environment.Experience Preferred:* Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. * Proven experience in building and deploying RAG systems, including the use of **Vector Databases**. * Proficiency in Python programming. * Solid experience with SQL for data manipulation and querying. * Hands-on experience with Google Cloud Platform (Google Cloud Platform) services relevant to AI/ML. * Basic understanding and practical experience with Machine Learning model fine-tuning. * Familiarity with data engineering concepts and practices. * Expertise in prompt engineering techniques for interacting with LLMs. * Experience with the OpenAI SDK. * Experience developing robust APIs, preferably with **FastAPI**. * Proficiency with **version control systems (e.g., Git)**. * Experience with **containerization technologies (e.g., Docker)**.Education Required:Bachelors DegreeEducation Preferred:Certification ProgramAdditional Safety Training/Licensing/Personal Protection Requirements:Additional Information :***POSITIN IS HYBRID*** 1) Design, develop, and implement Generative AI models and applications, specifically focusing on building and optimizing RAG systems, including the integration and management of vector databases, using various technology stacks, with a preference for the OpenAI SDK. 2) Apply fundamental Machine Learning concepts, including model fine-tuning, to improve the performance and accuracy of AI solutions, and deploy them via efficient APIs, such as those built with FastAPI, utilizing containerization for consistent environments. 3) Perform data engineering tasks to prepare, process, and manage data pipelines essential for training, evaluating, and deploying Generative AI models, including data ingestion for vector databases, ensuring data quality and accessibility. 4) Utilize advanced prompt engineering techniques to optimize interactions with large language models and achieve desired outputs, and expose these capabilities through well-designed APIs. 5) Collaborate with cross-functional teams to integrate AI solutions into existing products and services, ensuring scalability, reliability, and maintainability on cloud platforms, particularly Google Cloud Platform (Google Cloud Platform), adhering to MLOps principles and continuous integration/continuous deployment (CI/CD) practices.
EEO Employer
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. 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 Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join 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 ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: 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. 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, 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. 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 Apex team member can provide.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.