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Role description

AI/ML Engineer

Transient AI logoTransient AI
AI-native
TypeFull-time
WorkplaceHybrid
SenioritySenior
LocationNew York, NY
Posted6/3/2026
Engineering

Senior AI/ML Engineer (5–10 Years Experience) | New York City

📍 Location: New York City (Hybrid/On-site)

🕒 Employment Type: Full-Time

🚀 Leadership Opportunity

💰 Competitive Salary, Performance Bonus & Equity

About the Role

Are you an experienced AI/ML Engineer passionate about building production-grade AI solutions that solve real-world business challenges? We are seeking a highly motivated and technically strong professional with 5–10 years of experience to join our growing AI team.

This is an opportunity to work on cutting-edge Generative AI, Large Language Models (LLMs), machine learning systems, and enterprise AI products while helping shape our technical vision and mentoring the next generation of engineers.

Key Responsibilities

Design, develop, and deploy scalable AI/ML solutions for enterprise applications.

Lead end-to-end AI initiatives—from problem definition and model development to deployment and monitoring.

Build and optimize machine learning, deep learning, and Generative AI systems.

Develop and integrate LLM-powered applications, agents, and workflows.

Collaborate closely with Product, Engineering, and Business stakeholders.

Architect APIs, microservices, and AI infrastructure for production environments.

Mentor junior engineers and provide technical leadership across projects.

Drive AI best practices, model governance, and continuous improvement.

Stay current with emerging AI technologies and industry trends.

Required Qualifications

5–10 years of hands-on experience in AI/ML engineering and software development.

Strong expertise in Python and modern AI/ML frameworks.

Proven experience with Deep Learning, NLP, Computer Vision, or related AI domains.

Minimum 1–2 years of hands-on experience working with LLMs and Generative AI technologies.

Experience with model training, fine-tuning, evaluation, and deployment.

Strong understanding of software architecture, APIs, and microservices.

Experience deploying AI solutions into production environments at scale.

Familiarity with cloud platforms such as AWS, Azure, or GCP.

Excellent problem-solving, communication, and leadership skills.

Comfortable working in fast-paced startup or high-growth environments.

What We Offer

Competitive compensation package with bonus and equity opportunities.

Opportunity to work on transformative AI products.

Leadership and career growth opportunities.

Collaborative, high-performance team culture.

Exposure to cutting-edge AI technologies and enterprise-scale deployments.

About Transient.AI

At Transient.AI, we’re building the next generation of enterprise AI solutions that help organizations unlock the power of Generative AI safely, efficiently, and at scale. Our mission is to transform how businesses leverage AI through innovation, speed, and exceptional execution.

Interested? Apply now and help shape the future of AI.

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Company info

Transient AI logo

Transient AI

AI-driven insights & recommendations, identifying exactly who to call and what to buy and sell across multiple asset classes. The Transient.AI Agentic platform delivers AI-driven insights to drive revenue growth. By compiling and analyzing financial markets, client histories, headline risks, compliance regulation, and more, this AI agent gives you the competitive edge. * Configure and connect your data. Connect different datasets to our secure data models, from CRMs and databases to emails and spreadsheets. * Discover new opportunities. Use AI-driven recommendations and dashboards for smarter client targeting and personalized sales strategies. * Generate autonomous insights. Receive real-time AI-driven analysis, actionable insights, and tailored strategies. * Watch the system grow smarter. Increase efficiency with progressively smarter insights distilled from internal and external data.

Under 5 employees
HQNew York, US
Size2 employees
Unlock human wisdom
ThesisTermsPrivacy
Industry
Business Intelligence Platforms
Tech stacknext-js, google-firebase, hugging-face, prometheus, jenkins, nodejs, firebase, amazon-web-services, kubernetes, langchain

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