Overview
On Site
USD 80,000.00 - 150,900.00 per year
Full Time
Skills
Research
Project Management
Document Processing
Reporting
Finance
Product Development
Mentorship
Testing
Large Language Models (LLMs)
Evaluation
Amazon S3
Data Science
Artificial Intelligence
Expect
Python
English
Communication
Amazon Web Services
Application Development
Software Development
Technical Support
Computer Hardware
Usability
Supervision
Computer Science
Information Systems
Scripting
C
C++
C#
.NET
Java
Perl
Operating Systems
Microsoft Windows
Linux
Unix
Law
Apache Flex
Training
Professional Development
Job Details
About the Team:
The AI Engineering team, comprised of Research, Engineering and Project Management, build AI platforms and tools for employees across Nasdaq. Our specialized team has deployed custom LLM powered Chat, Document Processing, Report Generation and Code Generation tools. AI Engineering is chiefly responsible for developing new features on our internal AI Platforms.
About the Role:
In this role, you will be working on building internal AI tools across our entire business, including Market Platforms, Capital Access Platforms and Anti-Financial Crime. Your main task will be to work on centralized AI Agents for the company, improving the product development cycle, as well as supporting customer success. You will bring an entrepreneurial and product minded spirit to the team. Other key responsibilities include communicating technical project updates to business partners and building evaluations for the tools that you build. Finally, you will have the opportunity to mentor Junior Engineers.
You will be responsible for:
Creating, developing, and testing extensive Large Language Model (LLM) applications, which includes creating evaluation frameworks for these custom solutions
Building tools within the AWS ecosystem, with particular emphasis on Lambda and S3 services
Collaborating closely with Data Science teams to architect and implement AI agent-based systems
What we expect:
A degree in a field related to Computer Science, Information Systems, or equivalent work experience
At least 3-6 of professional experience within the IT field
Proficiency with Python
Excellent verbal and written English communication skills
Experience with AWS, LLM Application Development, RAG (Retrieval Augmented Generation) Pipelines (Preferred)
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
What We Offer
We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.
The base pay range for this role is $80,000 - $150,900. In addition to base salary, Nasdaq provides a generous annual boncommission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
Nasdaq's programs and rewards are intended to allow our employees to:
For more information, visit Nasdaq Benefits & Rewards Career page
The AI Engineering team, comprised of Research, Engineering and Project Management, build AI platforms and tools for employees across Nasdaq. Our specialized team has deployed custom LLM powered Chat, Document Processing, Report Generation and Code Generation tools. AI Engineering is chiefly responsible for developing new features on our internal AI Platforms.
About the Role:
In this role, you will be working on building internal AI tools across our entire business, including Market Platforms, Capital Access Platforms and Anti-Financial Crime. Your main task will be to work on centralized AI Agents for the company, improving the product development cycle, as well as supporting customer success. You will bring an entrepreneurial and product minded spirit to the team. Other key responsibilities include communicating technical project updates to business partners and building evaluations for the tools that you build. Finally, you will have the opportunity to mentor Junior Engineers.
You will be responsible for:
Creating, developing, and testing extensive Large Language Model (LLM) applications, which includes creating evaluation frameworks for these custom solutions
Building tools within the AWS ecosystem, with particular emphasis on Lambda and S3 services
Collaborating closely with Data Science teams to architect and implement AI agent-based systems
What we expect:
A degree in a field related to Computer Science, Information Systems, or equivalent work experience
At least 3-6 of professional experience within the IT field
Proficiency with Python
Excellent verbal and written English communication skills
Experience with AWS, LLM Application Development, RAG (Retrieval Augmented Generation) Pipelines (Preferred)
- Codes, tests, debugs and implements and maintains software solutions with some assistance on complex development tasks.
- Supports develops, tests, debugs and implements operating systems components, software tools and utilities with limited supervision.
- Develops security solutions for routine assignments progressing to assignments with increasing complexity.
- Provides application software development services or technical support, typically in a defined project often learning from more experienced peers.
- Develops program logic for new applications or analyses and modifies logic in existing applications, often learning on the job from more senior colleagues as size of the challenge increases.
- Modifies existing internal software products to add new functions, adapt to new hardware, improve performance or enhance product usability under limited supervision.
- Implements and monitors routine system improvements to ensure successful installation and increased efficiency.
- Ensures that applications are compatible across multiple computing platforms and browsers.
- Education Required: Degree qualified in a discipline related to Computer Science, Information Systems, or equivalent work experience.
- Experience Required: At least 3 years
- Special Qualifications: Knowledge of one or more programming or scripting languages, such as C, C++, C#, .net, Java, Perl, etc., and one or more operating system, such as Windows, Linux/Unix, etc.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
What We Offer
We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.
The base pay range for this role is $80,000 - $150,900. In addition to base salary, Nasdaq provides a generous annual boncommission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
Nasdaq's programs and rewards are intended to allow our employees to:
- Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
- Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
- Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
- Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
- Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
For more information, visit Nasdaq Benefits & Rewards Career page
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.