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Generative AI Engineer

eTeam Inc.

Charlotte, NC

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JOB DETAILS
SKILLS
AWS Lambda, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Automation, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Data Science, Docker, Ecosystems, GCP (Good Clinical Practices), GitHub, Internet Application, JSON, Leading Edge Technology, Memory Hardware, Microservices, Microsoft Windows Azure, Modeling Languages, Operations Security (OPSEC), Python Programming/Scripting Language, REST (Representational State Transfer), Scalable System Development, Search Technology, Semantic Search, Software Engineering, Strategic Planning, System Architecture
LOCATION
Charlotte, NC
POSTED
15 days ago

Job Title: Generative AI Engineer
Work Location & Reporting Address: Charlotte, NC 28202 (Onsite-Hybrid. LOCAL CANDIDATES ONLY!!!)
Contract duration: 12 Months
Interview Mode- In-person Interview


Must Have Skills:
  • GEN AI
  • Agentic AI
  • VLLM
  • fAST API
  • REST API
  • ClientD
  • Lang Graph
  • Lang Chain
  • Graph RAG
  • ML Ops
  • Python
  • ML
  • Data Science
  • RAG
  • LLM

Nice to Have Skills:
  • GCP
  • Prompt Engineering

Detailed Job Description:
  • We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, and Gen AI frameworks, along with expertise in building scalable AI applications. Experience in Developing Agentic AI solutions.

Key Responsibilities:
  • Design and implement Generative AI models for text, image, or multimodal applications.
  • Develop prompt engineering strategies and embedding-based retrieval systems.
  • Integrate Gen AI capabilities into web applications and enterprise workflows.
  • Build agentic AI applications with context engineering and ClientP tools.

Required Skills & Qualifications:
  • 7 years of hands-on experience in AI, Data science, ML, GEN AI
  • 2 years of strong hands on experience in Agentic AI, VLLM s, GEN AI, Lang Chain, Lang Graph, RAG, LLM OPS and AI Services in GCP and Azure.
  • Strong hands on experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines
  • Strong MLOps/LLMOps experience with CI/CD automation,
  • Extensive experience with LangChain, LangGraph, and agentic AI patterns including routing, memory, multi-agent orchestration, guardrails, and failure recovery.
  • Experience in Cloud-native engineering across AWS (SageMaker, Lambda, ECS/Fargate, S3, API Gateway, Step Functions) and GCP (Vertex AI) for scalable AI delivery
  • Experience in Developing microservices and API development using FastAPI, REST APIs, Pydantic/JSON schemas, Docker, and Kubernetes for low-latency serving.
  • Strong Hands-on experience with vector databases and semantic search technologies including Pinecone, FAISS, ChromaDB, and embedding lifecycle management
  • Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow).
  • Hands on experience using session and memory for building multi-agent systems along with using ClientP tools.
  • Hands-on experience with LLMs, transformers, and Hugging Face ecosystem.
  • Knowledge and experience with vector databases and RAG technique for semantic search.
  • Familiarity with cloud AI services (AWS SageMaker, Azure OpenAI, GCP Vertex AI).
  • Understanding of MLOps practices for scalable AI deployment.
  • Strong experience in working with LLM fine-tuning with LoRA, QLoRA, PEFT,
  • Strong experience in Architected advanced RAG systems using Pinecone, FAISS, Weaviate, Chroma, hybrid retrieval, and custom embeddings,
  • Strong experience in Designing end-to-end LLMOps/MLOps pipelines using MLflow, DVC, SageMaker Pipelines, Vertex AI Pipelines, and GitHub Actions
  • Experience in using cloud-native AI systems on AWS (SageMaker, Lambda, EKS, EC2, Step Functions, S3, Glue) and GCP Vertex AI, supporting high-volume inference and secure enterprise operations
  • Experience in developing multi-agent orchestration workflows using LangGraph and CrewAI for tool-calling, validation agents, automated reasoning, and workflow supervision
  • Minimum Years of Experience:-10 years

About the Company

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eTeam Inc.

Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.
COMPANY SIZE
100 to 499 employees
INDUSTRY
Other/Not Classified
FOUNDED
1998
WEBSITE
www.eteaminc.com