GEN AI Engineer
Contract W2
Contract Corp To Corp
Travel Required
On-site
Depends on Experience
Techno Talent Inc.
Fitment
Dice Job Match Score™
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Job Details
Skills
- Artificial Intelligence
- Docker
- Extraction
- Generative Artificial Intelligence (AI)
- Machine Learning (ML)
- LangSmith
- Machine Learning Operations (ML Ops)
- Version Control
- Python
- Microsoft Azure
- Good Clinical Practice
- Evaluation
- Conflict Resolution
Summary
AI Engineer – GenAI / Agentic Systems
Location: Charlotte, NC or Dallas, TX
Schedule: On-site 5 days/week
Location: Charlotte, NC or Dallas, TX
Schedule: On-site 5 days/week
MOI: Face to Face Interview
What You’ll Do
- Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG.
- Develop autonomous AI agents using modern agentic frameworks.
- Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or Google Cloud Platform).
- Build scalable REST APIs that power LLM-driven applications integrated with enterprise data sources.
- Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to measure answer relevance, groundedness, and hallucination rates.
- Apply LLMOps/MLOps practices, including CI/CD pipelines, prompt/version management, automated testing, and monitoring of latency, cost, and response quality.
- Develop systems leveraging embeddings at scale, knowledge graphs, and ontology extraction.
- Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and agentic AI architectures.
What You’ll Bring
- Degree in Computer Science, AI/ML, or related field.
- 5+ years of AI/ML-focused software engineering experience.
- Production experience building LLM-based or agentic AI systems.
- Strong expertise in Python and modern AI frameworks.
- Experience with embeddings, knowledge graphs, ontology extraction, and advanced RAG/GraphRAG implementations.
- Full-stack development experience (Python back end + modern front end).
- Experience deploying AI workloads to AWS, Azure, or Google Cloud Platform.
- Familiarity with LLMOps/MLOps tooling and model evaluation frameworks.
- Strong problem-solving, communication, and collaboration skills.
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.
- Dice Id: 10515530
- Position Id: 8916373
- Posted 16 hours ago
Company Info
About Techno Talent Inc.
In this competitive industry, we continually improve our Human Capital Management (HCM) practices and programs to be innovative, well-targeted, and industry leading.
Our need for exceptionally skilled, enterprising, and ambitious technical people is constant, and we are passionate about not only attracting but also developing and retaining such high caliber employees. We invite you, a potential employee, to learn more about our HCM practices and programs.
Our entire culture exudes a passion for this mutual advancement.
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