Build, deploy, and optimize Retrieval-Augmented Generation (RAG) systems and AI-powered chat interfaces. * Develop enterprise Generative AI solutions using Large Language Models (LLMs) and related ...
Build, deploy, and optimize Retrieval-Augmented Generation (RAG) systems and AI-powered chat interfaces. * Develop enterprise Generative AI solutions using Large Language Models (LLMs) and related ...
Python Software Engineer
Austin, TX · On-site
Develop Retrieval-Augmented Generation (RAG) solutions and AI workflows. Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms. Collaborate with product managers ...
Python Software Engineer
Austin, TX · On-site
Develop Retrieval-Augmented Generation (RAG) solutions and AI workflows. Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms. Collaborate with product managers ...
We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows , and platforms such as Cursor AI . The ideal ...
We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows , and platforms such as Cursor AI . The ideal ...
AI Engineer - Agentic Systems & RAG
Austin, TX · On-site
$65 - $70/hr
We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows , and platforms such as Cursor AI . The ideal ...
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AI Engineer - Agentic Systems & RAG
Austin, TX · On-site
$65 - $70/hr
We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows , and platforms such as Cursor AI . The ideal ...
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
Sierra.ai Consultant
Dallas, TX · On-site
... Retrieval-Augmented Generation (RAG) pipelines, and Agent SDKs - Skilled in building and deploying AI/LLM systems in production environments - Familiarity with AI agents, including evaluation ...
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Sierra.ai Consultant
Dallas, TX · On-site
... Retrieval-Augmented Generation (RAG) pipelines, and Agent SDKs - Skilled in building and deploying AI/LLM systems in production environments - Familiarity with AI agents, including evaluation ...
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
Quick apply
AI Engineer
Dallas, TX · On-site
Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...
Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems. * Implement personalized recommendation engines using cutting-edge frameworks ...
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Gen AI/ML Solution Architect
Houston, TX · On-site
$60.25 - $79.25/hr
Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems. * Implement personalized recommendation engines using cutting-edge frameworks ...
In this role, you will design, build, and enhance intelligent applications thatleverageLarge Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG) architectures ...
In this role, you will design, build, and enhance intelligent applications thatleverageLarge Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG) architectures ...
Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...
Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...
Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...
Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...
Python Developer with LLM, GCP
Irving, TX · On-site
$48 - $66.25/hr
Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google ...
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Python Developer with LLM, GCP
Irving, TX · On-site
$48 - $66.25/hr
Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google ...
Configure and optimize Retrieval-Augmented Generation (RAG) architectures, integrating both structured and unstructured data sources into unified vector engines. * Manage LLM integration challenges ...
Configure and optimize Retrieval-Augmented Generation (RAG) architectures, integrating both structured and unstructured data sources into unified vector engines. * Manage LLM integration challenges ...
Configure and optimize Retrieval-Augmented Generation (RAG) architectures, integrating both structured and unstructured data sources into unified vector engines. * Manage LLM integration challenges ...
Configure and optimize Retrieval-Augmented Generation (RAG) architectures, integrating both structured and unstructured data sources into unified vector engines. * Manage LLM integration challenges ...
GenAI Engineer-W2
Austin, TX · On-site
Familiarity with retrieval-augmented generation (RAG) and prompt engineering. * Strong problem-solving skills and ability to work in fast-paced AI environments. Preferred: * Experience with open ...
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GenAI Engineer-W2
Austin, TX · On-site
Familiarity with retrieval-augmented generation (RAG) and prompt engineering. * Strong problem-solving skills and ability to work in fast-paced AI environments. Preferred: * Experience with open ...
GenAI Context Engineer
Dallas, TX · On-site
Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...
GenAI Context Engineer
Dallas, TX · On-site
Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...
Machine Learning Engineer
Frisco, TX · On-site
Architect Retrieval-Augmented Generation ( RAG ) systems, including vector store design, hybrid search strategies, chunking pipelines, and context relevance evaluation. * Apply MLOps best practices ...
Machine Learning Engineer
Frisco, TX · On-site
Architect Retrieval-Augmented Generation ( RAG ) systems, including vector store design, hybrid search strategies, chunking pipelines, and context relevance evaluation. * Apply MLOps best practices ...
Python Developer with ML - Dallas, TX
$49.75 - $68.50/hr
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and ...
Python Developer with ML - Dallas, TX
$49.75 - $68.50/hr
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and ...
Senior, Agentic AI Engineer
Spring, TX · On-site
$96K - $132K/yr
Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines, including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...
Senior, Agentic AI Engineer
Spring, TX · On-site
$96K - $132K/yr
Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines, including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...
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Job description
Job Summary
We are seeking a Senior Data Scientist with a strong background in traditional Machine Learning, Deep Learning, and hands-on experience building enterprise Generative AI solutions. This role is responsible for developing and deploying AI-powered applications, Retrieval-Augmented Generation (RAG) systems, predictive models, and data-driven solutions that solve complex business problems. The ideal candidate will collaborate with cross-functional teams, interact directly with customers, and leverage modern AI technologies to deliver scalable enterprise solutions.
Key Responsibilities
Required Qualifications
Preferred Qualifications
We are seeking a Senior Data Scientist with a strong background in traditional Machine Learning, Deep Learning, and hands-on experience building enterprise Generative AI solutions. This role is responsible for developing and deploying AI-powered applications, Retrieval-Augmented Generation (RAG) systems, predictive models, and data-driven solutions that solve complex business problems. The ideal candidate will collaborate with cross-functional teams, interact directly with customers, and leverage modern AI technologies to deliver scalable enterprise solutions.
Key Responsibilities
- Build, deploy, and optimize Retrieval-Augmented Generation (RAG) systems and AI-powered chat interfaces.
- Develop enterprise Generative AI solutions using Large Language Models (LLMs) and related technologies.
- Design, develop, and implement machine learning algorithms to solve complex business problems.
- Analyze large and complex datasets to generate actionable insights and support data-driven decision-making.
- Build predictive models and statistical solutions to improve enterprise products and business outcomes.
- Collaborate with client data science teams across Machine Learning and Deep Learning ecosystems.
- Work closely with product managers, engineers, and business stakeholders to integrate AI and data science solutions into enterprise products.
- Develop and deploy machine learning models for production environments.
- Perform feature engineering, data preparation, and model optimization.
- Build enterprise knowledge solutions using Generative AI technologies.
- Work with structured and unstructured datasets to extract meaningful insights.
- Collaborate directly with customers and stakeholders to understand business requirements and recommend AI-driven solutions.
- Communicate technical findings and recommendations effectively to both technical and non-technical audiences.
- Mentor junior data scientists and contribute to knowledge sharing across the team.
- Stay current with advancements in Machine Learning, Deep Learning, Generative AI, and data science technologies.
- Support continuous improvement initiatives by evaluating emerging AI frameworks, tools, and best practices.
Required Qualifications
- Overall 10+ years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or related technical fields.
- Strong experience in Machine Learning (ML) and Deep Learning (DL).
- Hands-on experience with Generative AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
- Experience developing enterprise AI and machine learning solutions.
- Strong proficiency in Python or R.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong understanding of statistical analysis, predictive modeling, and data modeling techniques.
- Experience working with SQL and querying large datasets.
- Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.
- Experience working within AWS cloud environments.
- Experience working with Snowflake or similar enterprise data platforms.
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent communication, collaboration, stakeholder management, and client-facing skills.
- Ability to work effectively with cross-functional teams in an enterprise environment.
Preferred Qualifications
- Exposure to Agentic AI and Agent APIs.
- Experience with Claude, Anthropic, or similar Generative AI development platforms.
- Domain experience within the Oil & Gas or Energy industry.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Experience working with enterprise software products.
- Understanding of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
About Compunnel
Sourced by ZipRecruiter
Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.
Industry
It services
Company size
501 - 1,000 Employees
Headquarters location
Plainsboro, NJ, US
Year founded
1994