

Strategic Staffing Solutions
Artificial Intelligence Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a 7-month W2 contract in Charlotte, NC. Required skills include 5+ years in Python/Java, 3+ years in AI/ML, and LLM app deployment. Hybrid work schedule, in-person interviews only.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
June 11, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Charlotte, NC
-
π§ - Skills detailed
#Data Engineering #Containers #Agile #ML (Machine Learning) #React #AI (Artificial Intelligence) #Python #S3 (Amazon Simple Storage Service) #JavaScript #Computer Science #Compliance #NLP (Natural Language Processing) #Programming #Langchain #Deep Learning #Scala #GitHub #Jenkins #Jira #Java #Monitoring
Role description
Strategic Staffing Solutions is currently looking for an AI Software Engineer for a W2 contract opportunity!
Software Engineer 4/AI
Location: Charlotte, NC
Work Schedule: Hybrid-3 days onsite per week (team will have mandatory mutual schedule, currently Monday-Wednesday)
Duration: 7 months with possibility to extend or convert
Interview: In Person ONLY.
This is a W-2 contract opportunity, and candidates must be able to work on our W-2 only. NO C2C or 1099.
Top Skills: (MUST HAVE):
β’ 5 years Python and/or Java Programming
β’ 3 years of AI, machine learning, and designing and deploying LLM apps
β’ 3 years data engineering (any tech)
β’ Jira, Github, Jenkins, Confluence
β’ At least 1 of (ideally 2) Google ADK, Langraph, Langchain
β’ Hacker rank/Glider, test Java, ideally Python and/or AI too
β’ Team Player/communicative/takes initiative.
β’ Must be able to be a team player.
Summary:
We are seeking a Lead AI Engineer with deep expertise in Python and Google ADK to join our TCOO Organization and be part of the Wholesale Operations Technology (WOT) team. In this role as an AI engineer, you will develop and lead cutting edge artificial intelligence solutions using large language models, agentic frameworks, and other innovative technologies. The ideal candidate would have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on Prompt Engineering, Fine Tuning, RAG implementation, and Agentic frameworks.
In this role, you will:
β’ Design, develop, deploy AI applications using LLM's, agent frameworks, and other related technologies
β’ Collaborate with enterprise teams to integrate LLM models with the existing WOT products and systems
β’ Develop and maintain large scale applications using Java, Python, OpenShift containers, and other relevant technologies
β’ Stay up to date with the latest advancements in AI, LLM, agentic frameworks and apply this knowledge to improve existing systems and develop new ones
β’ Troubleshoot and resolve complex technical issues related to applications and models
β’ Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
β’ Lead, design, develop, test, and implement applications and system components, tools and utilities, models, simulation, model drift, and analytics to manage complex business functions using sophisticated technologies
β’ Resolve coding, testing and escalated platform issues of a technically challenging nature
β’ Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
β’ Collaborate and influence all levels of professionals including managers
β’ Mentor junior software engineers and collaborate with other leads on the implementation of AI solutions
Required Qualifications:
β’ 7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
β’ 7+ years of experience in software development
β’ 5+ years of Python, Java, OpenShift containers, and other relevant technologies
β’ 3+ years of Hands on experience designing and deploying LLM based applications
β’ 3+ years of data engineering
β’ 3+ years of AI and ML concepts, including deep learning, natural language processing and computer vision
β’ 2+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc.
Desired Qualifications:
β’ Bachelor s or master s degree in computer science, artificial intelligence or a related field
β’ Strong experience with Google Agent Development Kit (ADK) for building production grade AI agents
β’ Knowledge of Chatbots, Copilot, GPT-4 is preferred
β’ Advanced Prompt Engineering techniques (instruction design, few shot, structured outputs)
β’ Retrieval Augmented Generation (RAG) design and implementation (vector stores, embeddings, chunking strategies)
β’ Experience monitoring model behavior, drift, accuracy, and reliability in production system
β’ Context management, memory handling, and guardrails for safe enterprise usage
β’ Experience with other programming languages such as JavaScript and React
β’ Certification in AI, machine learning or a related field
β’ Excellent problem-solving skills come up with the ability to troubleshoot and resolve complex technical issues
β’ Strong collaboration and communication skills come with the ability to work effectively with cross functional teams
Nice to Have
β’ OCP
β’ Retrieval Augmented Generation (RAG)
βBeware of scams. S3 never asks for money during its onboarding process.β
Strategic Staffing Solutions is currently looking for an AI Software Engineer for a W2 contract opportunity!
Software Engineer 4/AI
Location: Charlotte, NC
Work Schedule: Hybrid-3 days onsite per week (team will have mandatory mutual schedule, currently Monday-Wednesday)
Duration: 7 months with possibility to extend or convert
Interview: In Person ONLY.
This is a W-2 contract opportunity, and candidates must be able to work on our W-2 only. NO C2C or 1099.
Top Skills: (MUST HAVE):
β’ 5 years Python and/or Java Programming
β’ 3 years of AI, machine learning, and designing and deploying LLM apps
β’ 3 years data engineering (any tech)
β’ Jira, Github, Jenkins, Confluence
β’ At least 1 of (ideally 2) Google ADK, Langraph, Langchain
β’ Hacker rank/Glider, test Java, ideally Python and/or AI too
β’ Team Player/communicative/takes initiative.
β’ Must be able to be a team player.
Summary:
We are seeking a Lead AI Engineer with deep expertise in Python and Google ADK to join our TCOO Organization and be part of the Wholesale Operations Technology (WOT) team. In this role as an AI engineer, you will develop and lead cutting edge artificial intelligence solutions using large language models, agentic frameworks, and other innovative technologies. The ideal candidate would have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on Prompt Engineering, Fine Tuning, RAG implementation, and Agentic frameworks.
In this role, you will:
β’ Design, develop, deploy AI applications using LLM's, agent frameworks, and other related technologies
β’ Collaborate with enterprise teams to integrate LLM models with the existing WOT products and systems
β’ Develop and maintain large scale applications using Java, Python, OpenShift containers, and other relevant technologies
β’ Stay up to date with the latest advancements in AI, LLM, agentic frameworks and apply this knowledge to improve existing systems and develop new ones
β’ Troubleshoot and resolve complex technical issues related to applications and models
β’ Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
β’ Lead, design, develop, test, and implement applications and system components, tools and utilities, models, simulation, model drift, and analytics to manage complex business functions using sophisticated technologies
β’ Resolve coding, testing and escalated platform issues of a technically challenging nature
β’ Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
β’ Collaborate and influence all levels of professionals including managers
β’ Mentor junior software engineers and collaborate with other leads on the implementation of AI solutions
Required Qualifications:
β’ 7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
β’ 7+ years of experience in software development
β’ 5+ years of Python, Java, OpenShift containers, and other relevant technologies
β’ 3+ years of Hands on experience designing and deploying LLM based applications
β’ 3+ years of data engineering
β’ 3+ years of AI and ML concepts, including deep learning, natural language processing and computer vision
β’ 2+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc.
Desired Qualifications:
β’ Bachelor s or master s degree in computer science, artificial intelligence or a related field
β’ Strong experience with Google Agent Development Kit (ADK) for building production grade AI agents
β’ Knowledge of Chatbots, Copilot, GPT-4 is preferred
β’ Advanced Prompt Engineering techniques (instruction design, few shot, structured outputs)
β’ Retrieval Augmented Generation (RAG) design and implementation (vector stores, embeddings, chunking strategies)
β’ Experience monitoring model behavior, drift, accuracy, and reliability in production system
β’ Context management, memory handling, and guardrails for safe enterprise usage
β’ Experience with other programming languages such as JavaScript and React
β’ Certification in AI, machine learning or a related field
β’ Excellent problem-solving skills come up with the ability to troubleshoot and resolve complex technical issues
β’ Strong collaboration and communication skills come with the ability to work effectively with cross functional teams
Nice to Have
β’ OCP
β’ Retrieval Augmented Generation (RAG)
βBeware of scams. S3 never asks for money during its onboarding process.β






