- HIGH BRIDGE CONSULTING LLC
- Paramus, NJ
- Full-Time
- 48 days ago
Senior Full-Stack AI Engineer.
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Senior Full-Stack AI Engineer: our view in 3 lines...
- The Role:This role is for a senior engineer who builds full-stack applications with AI and machine learning features.
- The Person:The person will build and integrate AI/ML capabilities into production applications, develop APIs and AI-enabled applications, and take solutions from concept through development and production.
- Requirements:The ideal candidate has 6+ years of software engineering experience, 2–3+ years of AI/ML engineering experience, strong Python skills, full-stack development experience, and experience with AI/ML frameworks and libraries.
About the role
Our client is a leading global provider of environmental, energy and sustainable infrastructure solutions, with a strong presence across North America. The company helps communities and businesses manage critical water, waste and energy services while driving sustainability and innovation.
They are now looking to expand their team and are hiring for a "Senior Full-Stack AI Engineer” role. This position will be based in Paramus, NJ with 2/3 days per week onsite.
Role Summary
Our client is seeking a Senior Full-Stack AI Engineer who combines strong software engineering fundamentals with hands-on experience building AI/ML solutions. The ideal candidate has a background in full-stack application development and Data Science, with recent experience developing and integrating AI/ML capabilities into production applications.
Required Qualifications
- 6+ years of professional software engineering/development experience.
- 2–3+ years of hands-on AI/ML engineering experience.
- Strong full-stack development experience — both backend and frontend.
- Strong Python development skills.
- Experience with AI/ML frameworks and libraries and deploying models into applications.
- Data Science experience, including data preparation, analysis, modeling and evaluation.
- Experience building APIs and AI-enabled applications.
- Strong understanding of software architecture, development lifecycle, testing and deployment.
- Experience working with cloud platforms and modern development practices.
- Ability to take an AI/ML solution from concept through development and production.
Strongly Preferred
- Generative AI / LLM experience.
- Experience with RAG, embeddings, vector databases or AI agents.
- Experience with Azure/AWS.
- Experience with React, Angular or another modern frontend framework.
- Experience with SQL and modern data platforms.
- CI/CD, Docker and Kubernetes experience.
Flexible work from home options available.
