IMCS Group

Generative AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer in Charlotte, NC, offering a 12-month contract at $71/hr (W2) or $80/hr (C2C). Requires 10+ years in AI/ML, strong Python skills, and experience with LLMs, MLOps, and Agentic AI. Hybrid work with mandatory face-to-face interviews.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
640
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πŸ—“οΈ - Date
August 7, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Databases #pydantic #FastAPI #Programming #Scala #ML Ops (Machine Learning Operations) #REST API #Docker #Langchain #Kubernetes #ML (Machine Learning) #Hugging Face #GCP (Google Cloud Platform) #Azure #PyTorch #Automation #JSON (JavaScript Object Notation) #Lambda (AWS Lambda) #S3 (Amazon Simple Storage Service) #API (Application Programming Interface) #"ETL (Extract #Transform #Load)" #Data Science #Python #SageMaker #TensorFlow #Transformers #Deployment #Microservices #REST (Representational State Transfer) #MLflow #Cloud #.Net #EC2 #AI (Artificial Intelligence) #GitHub #AWS SageMaker #AWS (Amazon Web Services)
Role description
Job Title: GEN AI engineer (NEED SOMEONE WHO STARTED AS PYTHON DEVELOPER THEN MOVETOWARDS DATA SCIENTIST THEN GEN AI ENGINEER) Work Location : Charlotte NC 28202- β€’ β€’ Hybrid- 3 days work from Office is Mandatory β€’ β€’ -NEED LOCAL AND FACE TO FACE INTERVIEW Contract duration: 12 Months F2F interview : Yes(Mandatory) Pay rate- $71/hr on w2 or $80/hr on c2c Job Details: Must Have Skills GEN AI, Agentic AI, VLLM, fAST API, REST API, MCD, 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 MCP 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 MCP 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 Certifications Needed :No Top 3 responsibilities you would expect the Subcon to shoulder and execute Strong communication skills Strong programming skills Interview Process (Is face to face required?) Yes(Mandatory) Please share your updated resume with below details: Full Legal Name (As Per SSN): Current Location- Pay rate expectation on w2/C2C- Work Authorization(H1B/USC/GC)- Primary Email- Phone Number- PASSPORT NUMBER(FOR H1B)- Interview availability 5 slots for 1 week Availability to join- MM/DD of DOB- Last 4 Digit of SSN- And 2 Professional References Any Final Interview/Pending Offers- LinkedIn Link- Complete Education Details- Thanks & Regards Nitin Kumar Gupta Senior Recruiter P: (682) 204-4426 E: nitin.gupta@imcsgroup.net