AI Engineer

Need to be local to Charlotte, NC - work onsite 3 days a week
No C2C or Sponsorship provided
Description
Experience working in an Agile development methodology; experience with RAG and LLM
We are seeking a skillful AI Engineer with Master's degree in Computer science or AI or relevant field for development of advanced AI/ML systems, including structured analytics, retrieval-augmented generation (RAG), agentic workflows, classification systems, and LLM-powered applications.
This role will focus on creating, reviewing, validating, and maintaining AI Systems that will also have maintain high-quality labeled datasets used to train and evaluate machine learning models across multiple domains including NLP, information retrieval, entity extraction, routing/classification, semantic search, and AI orchestration systems.
This contractor will work closely with data scientists, ML engineers, and AI platform teams to improve model quality, reliability, evaluation rigor, and production readiness.
Required Qualifications
Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Strong hands-on experience in Agentic AI frameworks and RAG architectures, including Graph RAG.
Proficiency Python and deep learning frameworks (e.g., PyTorch), with experience building and deploying LLM-powered systems.
Experience with LLM orchestration frameworks such as LangChain, LangGraph, and LlamaIndex.
Solid understanding of LLM inference, prompt engineering, and context management for enterprise-scale applications.
Working knowledge of AI safety and alignment techniques, including Guardrails, RLHF, and CLHF.
Experience designing and retrieval systems, embeddings, vector databases, and semantic search.
Familiarity with model evaluation, benchmarking, and human-in-the-loop feedback workflows.
Proficiency with development and collaboration tools (GitHub, VS Code, JIRA) and CI/CD practices.
Strong analytical and problem-solving skills with the ability to debug complex AI system behaviors (e.g., hallucinations, retrieval failures, routing issues).
Design, build, and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise AI applications.
Develop agentic workflows that integrate LLMs with tools, APIs, and structured/unstructured data sources.
Implement components across the RAG stack, including:
Document ingestion, chunking, and embedding strategies
Vector database integration and retrieval optimization
Context assembly and prompt orchestration
Multi-step reasoning and tool-calling agents
Build and manage end-to-end AI pipelines combining retrieval, reasoning, and generation.
retrieval quality, latency, and response accuracy through tuning and experimentation.
evaluation frameworks for RAG systems, including retrieval metrics, grounding quality, and factual consistency.
Identify and mitigate issues such hallucinations, context drift, tool routing errors, and retrieval gaps.
Collaborate with product and platform teams to deploy scalable, production-grade AI solutions.
Annotate and label datasets to support model training, evaluation, and alignment workflows.
Create high-quality labels for:
Query classification and intent detection
Entity and metadata extraction
Semantic similarity and relevance ranking
Retrieval quality and document grounding
Tool selection and agent routing
Structured vs. unstructured query classification
Human preference and response quality evaluation
Tag and classify queries, documents, and metadata following defined annotation schemas.
Support labeling text, tabular, and retrieval-based datasets
Skills
Artificial intelligence, Pyspark, Python
Top Skills Details
Artificial intelligence,Pyspark
Additional Skills & Qualifications
LLM and RAG
Experience Level
Expert Level
Job Type & Location
This is a Contract position based out of Charlotte, NC.
Pay and Benefits
The pay range for this position is $65.00 - $65.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Charlotte,NC.
Application Deadline
This position is anticipated to close on Jun 9, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.