Lead Machine Learning & GenAI Engineer

Resourcesoft, Inc.
Raleigh, NC, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Databases Continuous Integration Extract Transform Load (ETL) Elasticsearch Apache Hadoop Machine Learning NoSQL Software Engineering Apache Solr SQL Databases
+14 more
Enterprise Data Management Large Language Models Apache Spark Electronic Medical Records Generative AI Backend Containerization Kubernetes Graphql Virtual Agents Restful APIs Terraform Docker Microservices

Job description

  • Architect and deploy production-grade applications powered by Large Language Models and AI agents.
  • Build end-to-end Retrieval-Augmented Generation (RAG) pipelines integrating semantic search and vector stores.
  • Design high-throughput ETL data workflows and preprocessing pipelines to manage terabytes of text data.
  • Integrate custom machine learning models with existing backend systems via RESTful and GraphQL APIs.
  • Deploy, orchestrate, and maintain containerized AI microservices using Docker and Kubernetes clusters.
  • Optimize vector search indexing and query retrieval performance across Solr and OpenSearch databases.
  • Collaborate with data science and engineering teams to translate business requirements into AI capabilities.

Requirements

  • 10 or more years of experience in software engineering, machine learning, and enterprise data pipelines.
  • Proficiency in Python development, LangChain framework, and autonomous AI agent architectures.
  • Experience with Retrieval-Augmented Generation (RAG) system design and Large Language Model (LLM) APIs.
  • Experience in vector databases and search indexing engines including Solr, Elasticsearch, and OpenSearch.
  • Experience with big data ETL processing using Apache Spark, Hadoop, EMR, SQL, and NoSQL databases.
  • Experience in containerized deployments using Docker, Kubernetes, Terraform, and CI/CD pipelines.
  • Excellent verbal and written communication skills.

About the company

Founded in 1999, Resourcesoft, Inc. is a leading Technology Consulting and Professional Services organization. Headquartered in Marlborough, MA, the company serves the technology needs of its clients nationwide. Resourcesoft has often been recognized by prominent rating agencies for its exemplary growth and stability. With over two decades of industry experience, the Company has evolved as a front runner in enabling project optimization. We partner with leading organizations to provide technology solutions within the financial, insurance, education, government, publishing, healthcare and pharmaceutical domains. We take pride in mentoring a workforce that is well positioned to respond to the emerging IT trends and needs. With the employees at the crux of every business endeavor, our success is driven by our expertise in pairing the right talent with the best jobs in the technology sector. We forge long term, personalized relationships with our employees to advance their career to the next level. We engage them in technology centric client projects that provide opportunities for them to evolve, innovate and deliver world class products and services. Our career opportunities offer challenging assignments and exposure to emerging and cutting edge technologies. We are committed to providing our employees with the tools necessary to accelerate their career progression, while maintaining a healthy, work-life balance. We are deeply committed to providing a workplace ambience that is both challenging and fulfilling.

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