

Bean Infosystems
Senior Gen AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Senior Generative AI Engineer" on a W2 contract in Dallas, Texas, lasting over 6 months. Requires 10+ years in AI/ML, expertise in LLMs, strong Python skills, and experience with cloud AI services. Pay ranges from $96,996.51 to $116,813.00.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
530
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🗓️ - Date
November 28, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX 75235
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🧠 - Skills detailed
#Data Science #API (Application Programming Interface) #Azure #AWS (Amazon Web Services) #Scala #NLP (Natural Language Processing) #Python #Automation #FastAPI #ML (Machine Learning) #NumPy #Cloud #MLflow #Pandas #Docker #CRM (Customer Relationship Management) #Compliance #PyTorch #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Data Privacy #Data Ingestion #TensorFlow #Langchain #Kubernetes #Databases
Role description
Job Title: Senior Generative AI Engineer / Gen AI SpecialistExperience: 10+ YearsLocation: Onsite (Dallas TexasType: Contract
Immidiate closure
Contract: W2
Job Description:We are looking for a highly experienced Generative AI Engineer with over 10 years of experience in AI/ML and deep expertise in LLMs and enterprise-level GenAI solutions. The candidate will design, build, and deploy Generative AI systems, fine-tune large language models, and lead AI initiatives across the organization.
Responsibilities:
Develop and deploy Generative AI and LLM-based solutions for enterprise use cases
Fine-tune and optimize models like GPT, LLaMA, Claude, Mistral or similar
Build RAG pipelines using vector databases such as Pinecone, Chroma, FAISS or Milvus
Implement data ingestion, chunking, embeddings, and prompt optimization
Use cloud AI platforms like Azure OpenAI, AWS Bedrock, or Google Vertex AI
Build conversational agents, copilots, chatbots, and automation assistants
Integrate AI solutions into CRM, ERP, workflow tools, and business applications
Work with teams to deliver scalable, production-grade AI systems
Improve model output quality, reduce hallucinations, and enhance accuracy
Follow governance, compliance, responsible AI, and data privacy standards
Lead POCs and create AI technology roadmaps
Required Skills:
10+ years of experience in AI/ML, Data Science, or NLP
Strong hands-on work with LLMs and Generative AI architectures
Experience with RAG, vector stores, embeddings, LangChain or LlamaIndex
Strong Python skills (NumPy, Pandas, PyTorch, TensorFlow, FastAPI)
Experience deploying models using MLflow, MLOps, Docker, Kubernetes
Strong experience with cloud AI services (Azure OpenAI, AWS Bedrock, Vertex AI)
Deep understanding of prompt engineering and evaluation
Experience with unstructured data, ETL pipelines, and API development
Preferred Skills:
Experience building custom LLMs or training models from scratch
Multi-modal AI experience (text, image, audio, code)
Knowledge of hybrid search and vector database optimization
Experience working in enterprise environments and leading AI teams
Job Type: Contract
Pay: $96,996.51 - $116,813.00 per year
Application Question(s):
Willing to work on w2
Work Location: In person
Job Title: Senior Generative AI Engineer / Gen AI SpecialistExperience: 10+ YearsLocation: Onsite (Dallas TexasType: Contract
Immidiate closure
Contract: W2
Job Description:We are looking for a highly experienced Generative AI Engineer with over 10 years of experience in AI/ML and deep expertise in LLMs and enterprise-level GenAI solutions. The candidate will design, build, and deploy Generative AI systems, fine-tune large language models, and lead AI initiatives across the organization.
Responsibilities:
Develop and deploy Generative AI and LLM-based solutions for enterprise use cases
Fine-tune and optimize models like GPT, LLaMA, Claude, Mistral or similar
Build RAG pipelines using vector databases such as Pinecone, Chroma, FAISS or Milvus
Implement data ingestion, chunking, embeddings, and prompt optimization
Use cloud AI platforms like Azure OpenAI, AWS Bedrock, or Google Vertex AI
Build conversational agents, copilots, chatbots, and automation assistants
Integrate AI solutions into CRM, ERP, workflow tools, and business applications
Work with teams to deliver scalable, production-grade AI systems
Improve model output quality, reduce hallucinations, and enhance accuracy
Follow governance, compliance, responsible AI, and data privacy standards
Lead POCs and create AI technology roadmaps
Required Skills:
10+ years of experience in AI/ML, Data Science, or NLP
Strong hands-on work with LLMs and Generative AI architectures
Experience with RAG, vector stores, embeddings, LangChain or LlamaIndex
Strong Python skills (NumPy, Pandas, PyTorch, TensorFlow, FastAPI)
Experience deploying models using MLflow, MLOps, Docker, Kubernetes
Strong experience with cloud AI services (Azure OpenAI, AWS Bedrock, Vertex AI)
Deep understanding of prompt engineering and evaluation
Experience with unstructured data, ETL pipelines, and API development
Preferred Skills:
Experience building custom LLMs or training models from scratch
Multi-modal AI experience (text, image, audio, code)
Knowledge of hybrid search and vector database optimization
Experience working in enterprise environments and leading AI teams
Job Type: Contract
Pay: $96,996.51 - $116,813.00 per year
Application Question(s):
Willing to work on w2
Work Location: In person






