Job Title: Machine Learning Engineer Location: Westlake TX. Open to relocation but local candidates given first priority. Schedule: Hybrid onsite every other week (5 days per week)..
The Role This role is for a Machine Learning / Generative AI Engineer focused on designing building and deploying enterprise AI solutions within AWS environments. The position centers on developing GenAI applications using Large Language Models Retrieval-Augmented Generation (RAG) prompt engineering fine-tuning LangGraph LangChain and LlamaIndex. Responsibilities include building and deploying machine learning models creating data and feature engineering pipelines developing Python-based APIs with FastAPI integrating AI solutions with cloud platforms such as AWS SageMaker Snowflake and RDS and supporting scalable production deployments. The role also involves working with data analysis model optimization AI infrastructure and modern DevOps practices including Terraform and cloud-native services.
The ideal candidate brings 6 years of hands-on Python development experience strong expertise in Generative AI and prompt engineering and experience building REST APIs using FastAPI. Knowledge of LangGraph LLMs machine learning deployment AWS services and data platforms is essential. Experience with Adobe Experience Manager (AEM) is highly desirable. Additional preferred qualifications include prior Java development experience and security-related expertise. The position is best suited for a senior-level engineer with proven experience delivering production-ready AI solutions and a strong background in both software engineering and machine learning systems.
Must Have:
Generative AI Prompt Engineer
Similar project experience 1 year is preferred
Sr. 6 years hands on coding experience in python - api development
Fast API (framework) to build Rest Apis
AEM space - Adobe Experience Manager
LangGraph tool
LLM
Nice to Have:
Prior java development experience
Security
The following template needs to be submitted with every resume:
Candidates Full-Legal Name: Candidates Current Location: Why on the market: Desired Locations (MA UT BOS NH RI NC TX NJ KY): Is this candidate eligible to work in the US (Y/N): Will this candidate be a W2 employee of your company (Y/N): Vendor Name: Vendor POC (Name and Email): Candidate Pay Rate: $ Candidate Pay Type (Salary or Hourly): Candidate Availability to Interview: Candidates Availability to Start: Candidates Email: Candidates Phone Number: LinkedIn: Secure ID: (format: First two character of First Name MMDD: 2 digit birth month followed by 2 digit birth day NNNN: Last four digits of SSN)
Job Title: Machine Learning Engineer Location: Westlake TX. Open to relocation but local candidates given first priority. Schedule: Hybrid onsite every other week (5 days per week).. The Role This role is for a Machine Learning / Generative AI Engineer focused on designing building and deploying...
Job Title: Machine Learning Engineer Location: Westlake TX. Open to relocation but local candidates given first priority. Schedule: Hybrid onsite every other week (5 days per week)..
The Role This role is for a Machine Learning / Generative AI Engineer focused on designing building and deploying enterprise AI solutions within AWS environments. The position centers on developing GenAI applications using Large Language Models Retrieval-Augmented Generation (RAG) prompt engineering fine-tuning LangGraph LangChain and LlamaIndex. Responsibilities include building and deploying machine learning models creating data and feature engineering pipelines developing Python-based APIs with FastAPI integrating AI solutions with cloud platforms such as AWS SageMaker Snowflake and RDS and supporting scalable production deployments. The role also involves working with data analysis model optimization AI infrastructure and modern DevOps practices including Terraform and cloud-native services.
The ideal candidate brings 6 years of hands-on Python development experience strong expertise in Generative AI and prompt engineering and experience building REST APIs using FastAPI. Knowledge of LangGraph LLMs machine learning deployment AWS services and data platforms is essential. Experience with Adobe Experience Manager (AEM) is highly desirable. Additional preferred qualifications include prior Java development experience and security-related expertise. The position is best suited for a senior-level engineer with proven experience delivering production-ready AI solutions and a strong background in both software engineering and machine learning systems.
Must Have:
Generative AI Prompt Engineer
Similar project experience 1 year is preferred
Sr. 6 years hands on coding experience in python - api development
Fast API (framework) to build Rest Apis
AEM space - Adobe Experience Manager
LangGraph tool
LLM
Nice to Have:
Prior java development experience
Security
The following template needs to be submitted with every resume:
Candidates Full-Legal Name: Candidates Current Location: Why on the market: Desired Locations (MA UT BOS NH RI NC TX NJ KY): Is this candidate eligible to work in the US (Y/N): Will this candidate be a W2 employee of your company (Y/N): Vendor Name: Vendor POC (Name and Email): Candidate Pay Rate: $ Candidate Pay Type (Salary or Hourly): Candidate Availability to Interview: Candidates Availability to Start: Candidates Email: Candidates Phone Number: LinkedIn: Secure ID: (format: First two character of First Name MMDD: 2 digit birth month followed by 2 digit birth day NNNN: Last four digits of SSN)