Overview
On Site
USD 50.00 - 85.00 per hour
Full Time
Skills
Machine Learning Operations (ML Ops)
Analytics
Generative Artificial Intelligence (AI)
LexisNexis
Data Analysis
Visualization
Research
Data Visualization
Legal
LangChain
Extract
Transform
Load
Training
Collaboration
Customer Facing
TBS
API
RESTful
GraphQL
SQL
NoSQL
Database
PostgreSQL
MySQL
Apache Solr
Elasticsearch
Docker
Kubernetes
Terraform
Problem Solving
Conflict Resolution
Communication
Apache Spark
Apache Hadoop
Big Data
Agile
Computer Science
Data Science
Open Source
Artificial Intelligence
Machine Learning (ML)
Python
Sonnet
Large Language Models (LLMs)
Transformer
BERT
Semantic Search
Prompt Engineering
Debugging
Management
Algorithms
Cloud Computing
Electronic Health Record (EHR)
Amazon S3
Amazon Web Services
Continuous Integration
Continuous Delivery
Jenkins
Git
Microsoft Azure
DevOps
Taxes
Life Insurance
Business Transformation
Law
Job Details
Description
TEKsystems is partnered with a software company in Raleigh that needs to hire AI / MLOps Engineers for their flagship product, a leading global provider of information and analytics. Recently Our client has focused on the general availability of their product for U.S. customers, a generative AI solution designed to transform legal work. Our client delivers trusted results in a familiar, easy-to-use interface with linked hallucination-free legal citations that combine the power of generative AI with proprietary search technology, Shepard's Citations functionality, and authoritative content.
Senior AI Engineer (Data Engineer)
At LexisNexis we develop the legal profession's most innovative products for data analysis, visualization, and research. We use the latest techniques in AI, machine learning, and data visualization to uncover insights about legal matters, contracts and legal spend management.
We are looking for a skilled LLM Application Developer to join our team. You will be responsible for implementing large language model (LLM) based applications, working with proprietary and open-source models as well as popular frameworks such as LangChain to ensure seamless integration and deployment.
RESPONSIBILITIES
Building standalone applications that interact with LLM models
Building RAG-based applications
Understanding of Vector DBs like Solr for LLM based applications
Integrate models with existing systems and APIs.
Implement production quality ETL jobs
Preprocess and manage data for training and deployment.
Collaborate with cross-functional teams to define, design, and ship new features.
Write clean, maintainable, and efficient code.
Document development processes, code, and APIs.
REQUIREMENTS
Proven experience in building customer facing ML based APIs
Experience in developing applications that are scalable to handle TBs of data
Strong knowledge of API integration (RESTful, GraphQL).
Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.)
Familiarity with deployment tools (Docker, Kubernetes).
Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.
Excellent problem-solving and communication skills.
Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus
Ability to work collaboratively in an agile team environment.
PREFERRED QUALIFICATIONS
- Degree in Computer Science, Data Science, or related field.
- Certifications in machine learning, data science, or cloud computing.
- Portfolio showcasing past projects or contributions to open-source projects.
Skills
- 5-10+ years of experience in AI and machine learning, model building and strong coding skills in python (interview will have python coding assessments)
- 2+ years of working knowledge of applying recent LLMs (End to End) including ChatGPT, GPT 4.0, Claude 3.5 Sonnet, OPT, BLOOM, etc. UTILIZING RAG!
- Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
- Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation
- DevOps repos Debugging, building APIs and managing the algorithm flow across multiple workstreams in one repo
- Senior level experience deploying models in the Cloud (AWS) or Azure as secondary. (AWS services (EMR, S3, OpenSearch etc.) and AWS DevOps
- Familiarity with CI/CD best practices and experience with Jenkins, Git, and Azure DevOps
Additional Skills & Qualifications
N/A
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $50.00 - $85.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Jun 13, 2025.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
TEKsystems is partnered with a software company in Raleigh that needs to hire AI / MLOps Engineers for their flagship product, a leading global provider of information and analytics. Recently Our client has focused on the general availability of their product for U.S. customers, a generative AI solution designed to transform legal work. Our client delivers trusted results in a familiar, easy-to-use interface with linked hallucination-free legal citations that combine the power of generative AI with proprietary search technology, Shepard's Citations functionality, and authoritative content.
Senior AI Engineer (Data Engineer)
At LexisNexis we develop the legal profession's most innovative products for data analysis, visualization, and research. We use the latest techniques in AI, machine learning, and data visualization to uncover insights about legal matters, contracts and legal spend management.
We are looking for a skilled LLM Application Developer to join our team. You will be responsible for implementing large language model (LLM) based applications, working with proprietary and open-source models as well as popular frameworks such as LangChain to ensure seamless integration and deployment.
RESPONSIBILITIES
Building standalone applications that interact with LLM models
Building RAG-based applications
Understanding of Vector DBs like Solr for LLM based applications
Integrate models with existing systems and APIs.
Implement production quality ETL jobs
Preprocess and manage data for training and deployment.
Collaborate with cross-functional teams to define, design, and ship new features.
Write clean, maintainable, and efficient code.
Document development processes, code, and APIs.
REQUIREMENTS
Proven experience in building customer facing ML based APIs
Experience in developing applications that are scalable to handle TBs of data
Strong knowledge of API integration (RESTful, GraphQL).
Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.)
Familiarity with deployment tools (Docker, Kubernetes).
Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.
Excellent problem-solving and communication skills.
Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus
Ability to work collaboratively in an agile team environment.
PREFERRED QUALIFICATIONS
- Degree in Computer Science, Data Science, or related field.
- Certifications in machine learning, data science, or cloud computing.
- Portfolio showcasing past projects or contributions to open-source projects.
Skills
- 5-10+ years of experience in AI and machine learning, model building and strong coding skills in python (interview will have python coding assessments)
- 2+ years of working knowledge of applying recent LLMs (End to End) including ChatGPT, GPT 4.0, Claude 3.5 Sonnet, OPT, BLOOM, etc. UTILIZING RAG!
- Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
- Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation
- DevOps repos Debugging, building APIs and managing the algorithm flow across multiple workstreams in one repo
- Senior level experience deploying models in the Cloud (AWS) or Azure as secondary. (AWS services (EMR, S3, OpenSearch etc.) and AWS DevOps
- Familiarity with CI/CD best practices and experience with Jenkins, Git, and Azure DevOps
Additional Skills & Qualifications
N/A
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $50.00 - $85.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Jun 13, 2025.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.