Engineer full‑stack, AI-based enterprise applications on the C3 AI Platform, work directly with customers to design, develop, deploy, test, and document production applications and demos; mentor juniors, run code reviews, deliver technical enablement, identify risks, and drive product improvements.
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
C3 AI is seeking Forward Deployed Engineers. As a Forward Deployed Engineer, you will be engineering full-stack AI-driven web applications on the C3 AI Platform, working directly with customers to design, develop, and deploy production applications, demos, and proofs-of-technology. An ideal candidate possesses strategic and analytical aptitude, software development expertise, and excellent interpersonal skills.
Responsibilities
- Develop and deploy applications. Engineer full-stack, AI-based enterprise applications on the C3 AI Platform.
- Mentor junior team members. Share coding standards and design techniques with less experienced engineers.
- Conduct design and code reviews. Review customer software applications for quality, architecture, and best practices.
- Test and enhance customer applications. Troubleshoot, test, and improve customer software applications directly and on behalf of customers.
- Deliver technical enablement. Lead technical deep-dives, product demonstrations, and customer training sessions.
- Write documentation. Produce application specifications, technical documentation, and supporting artifacts.
- Identify and mitigate risk. Continuously surface technical risks and gaps; devise mitigation strategies in anticipation of customer needs.
- Drive product improvement. Work closely with product management and engineering to improve the overall quality of C3 AI software.
Qualifications
- Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study.
- 2+ years of professional software development experience with object-oriented programming languages.
- Strong verbal and written communication skills; ability to work effectively on a cross-functional team.
- Analytical and problem-solving abilities.
- Organizational skills and attention to detail.
- Ability to travel as needed.
Preferred qualifications
- Graduate degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study.
- Experience deploying enterprise-scale applications.
- Experience working in a customer-facing role.
- Software development experience with JavaScript and Python.
- Experience with Git or other version control software.
- Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular.
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
New York Base Pay Range
$120,000—$158,000 USD
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
C3 AI New York, New York, USA Office
18 W 18th St, New York, United States, 10011
Similar Jobs
Artificial Intelligence • Enterprise Web • Software • Automation
Work with enterprise customers to identify problems, design and ship LLM-powered and agentic systems to production. Build context-learning capabilities, knowledge-management agents, evaluation and confidence systems, and scalable AI orchestration to drive adoption and expand impact.
Top Skills:
Ai OrchestrationAsynchronous Scalable SystemsConfidence ScoringContext Learning LibraryEvaluation FrameworksHuman-In-The-Loop SystemsKnowledge BasesLlmsMulti-Agent SystemsPrompt Engineering
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manage a caseload of initial long-term care eligibility files, review detailed medical records, make timely eligibility determinations, communicate decisions in writing and by phone, compile documentation, reconcile inconsistencies, engage medical/legal resources, and occasionally represent the company in deposition or trial.
Top Skills:
MS Office
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Handle inbound customer inquiries by phone and email for group disability claims, research policy/claim questions, process transactions, escalate as needed, and deliver empathetic, high-quality service while using multiple internal systems and attending in-person training.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
