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Robert Half

Software Engineer I, Generative AI Applications

Posted One Month Ago
In-Office
Midtown East, New York, NY
68K-102K Annually
Entry level
In-Office
Midtown East, New York, NY
68K-102K Annually
Entry level
Build, test, deploy, and monitor production-grade generative AI applications and APIs. Collaborate with data scientists, engineers, and stakeholders to implement RAG, prompt orchestration, vector DBs, and evaluation pipelines on AWS. Write maintainable, well-tested code and contribute to documentation, code reviews, observability, and operational best practices.
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Who We Are

Our department is a dynamic, global team of diverse professionals dedicated to developing award-winning AI solutions, including both traditional and generative models. We leverage cutting-edge machine learning technologies to drive innovation and enhance Robert Half’s recruiting, placement, and sales processes, as well as support modernization efforts across the organization. 

We are seeking a passionate Software Engineer who is ready to grow their career while bringing practical experience to the future direction of our AI technology. Having invested heavily in data science, our AI leverages millions of proprietary data points and drives innovation across the core products at Robert Half. We are looking for candidates who have familiarity with production-ready software systems, can translate complex AI concepts into reliable applications, collaborate effectively across technical and non-technical teams, and contribute across implementation, testing, AWS-based deployment, monitoring, and support. If you’re excited to build production-level AI applications while continuing to deepen your expertise with an experienced team shaping the future of AI in the talent solutions industry, we’d love to have you join us!

What You'll Do

  • Contribute to the design, build, testing, deployment, and monitoring of production-grade generative AI applications, APIs, and integrations that support recruiting, placement, sales, and internal productivity workflows.
  • Partner with data scientists, data engineers, DevOps, and business stakeholders to translate business needs into scalable technical solutions.
  • Apply familiar GenAI patterns such as RAG, prompt orchestration, agent workflows, and evaluation pipelines while continuing to build expertise across leading LLM families and platform integrations.
  • Write clean, maintainable, well-tested code and contribute to technical documentation, code reviews, monitoring, and operational best practices.

What You'll Need

  • Strong software engineering fundamentals with proficiency in Python and experience building APIs, services, data pipelines, or cloud-based applications.
  • Hands-on familiarity with generative AI tools and concepts, such as LLM APIs, prompt engineering, RAG, vector databases, embeddings, evaluation methods, and leading LLM families; experience applying these concepts in production applications is strongly preferred.
  • Experience with AWS and cloud-based production environments, along with modern engineering practices such as Git, CI/CD, testing, observability, and agile delivery.
  • Ability to communicate technical ideas clearly, collaborate across technical and non-technical teams, and work through ambiguous problems with guidance and clear communication.

What We Offer

  • A supportive environment where talent is encouraged to grow and take on new challenges.
  • Opportunities to work on cutting-edge projects in AI and data science.
  • A culture that values diversity, inclusion, and the professional development of all team members.

The typical annual salary range for this position is shown below and is negotiable depending upon experience and location.

$68,000.00 - $102,000.00

We offer exceptional earning potential and a competitive benefits package, including group health insurance benefits (medical, vision, dental), FSA and HSA healthcare accounts, life and accident insurance, adoption and fertility assistance, paid parental leave of up to 6 weeks, and short/long term disability. Robert Half provides paid time off for vacation, personal needs, and sick time. The amount of Choice Time Off (CTO) our people receive varies based on their years of service and is pro-rated based on the hours worked per week. A new hire earns up to 17 days of CTO per calendar year. Our people also receive up to 11 paid holidays per calendar year. We also offer the opportunity to contribute to our company 401(k) savings and investment plan or deferred compensation plan (if eligible), with an employer match of 100% on the first 3% of your contributions for eligible employees. Learn more at https://roberthalfbenefits.com.

Robert Half Inc. is an Equal Opportunity Employer. M/F/Disability/Veteran

As part of Robert Half’s Corporate Services facility employment process, any offer of employment is contingent upon successful completion of a background check.

Our recruiters use their expertise and may utilize AI to help with their evaluation of candidates.

Robert Half is committed to being an equal employment employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to [email protected] or call 1.855.744.6947 for assistance.

In your email please include the following:

  • The specific accommodation requested to complete the employment application.

  • The location(s) (city, state) to which you would like to apply.

For positions located in San Francisco, CA: Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

For positions located in Los Angeles County, CA: Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

HQ

Robert Half Menlo Park, California, USA Office

Menlo Park, CA, United States

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