Nasdaq
Senior AI Application Engineer (.NET)
USA - Atlanta - Georgia · Senior
No sponsorshipDetected 3 days ago
Java.NETVector DatabasesAWSLLMsRAGLangGraphA/B TestingAccessibility
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odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- In this role, you'll apply technologies like LLMs, RAG, vector search, and agentic workflows to improve search, automation, and decision-making across the business.
- You'll fit right in if you're a hands-on engineer who enjoys turning emerging AI capabilities into practical, production-grade software.
- This position will be located in Atlanta, Georgia and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
Responsibilities
- Design and build AI-powered applications that use LLMs to improve user workflows, search, automation, and decision support.
- Develop and optimize RAG-based solutions using enterprise data, embeddings, and vector search to enable relevant, context-aware experiences.
- Build conversational and agentic experiences that coordinate tools, functions, and multi-step reasoning, including MCP tools, functions, and server integrations.
- Partner with product, architecture, and engineering teams to deliver scalable, maintainable AI systems and establish strong evaluation, observability, and monitoring practices.
Requirements
- Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.
- Strong hands-on experience with RAG architectures, embeddings, vector databases, semantic search, and cloud AI platforms such as AWS Bedrock or equivalent.
Nice to have
- Familiarity with frameworks such as Semantic Kernel, LangChain, LangGraph, Microsoft Agent Framework, or similar orchestration frameworks.
- Experience evaluating and operating AI systems in production, including grounding, relevance, latency, safety, observability, and reusable platform capabilities.
- Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
- Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
- Nasdaq is an equal opportunity employer.
- We welcome applications from candidates of all backgrounds and identities.
- We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
Compensation
- In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), benefits, and opportunity for growth.
Benefits
- In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), 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.
- 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
- Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
- For more information, visit Nasdaq Benefits & Rewards Career page.
- Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
Company info
- We're looking for someone who can turn AI into useful products, workflows, and internal capabilities that are secure, scalable, and ready for production.
- We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
- 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.
Visa & Work Authorization
- Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available fo
This listing is sourced directly from Nasdaq's careers page and normalized into a canonical job model.