Design and implement AI-driven solutions, collaborate with stakeholders, and scale AI knowledge across the organization. Foster AI adoption and develop scalable frameworks.
Role: Java AI Engineer
Overview
We are seeking a Senior Java Engineer with hands-on GenAI engineering experience to design and implement AI-driven solutions, Agentic workflows, and performance engineering frameworks. This role requires a strong blend of technical depth, practical AI engineering experience, and a genuine passion for the evolving AI landscape.
This is a flexible engagement, with openness to global talent. The right candidate will play a critical role in accelerating AI adoption and scaling internal capabilities.
Key Responsibilities
Design and implement AI-driven solutions aligned with business and executive priorities as well as ability make these solutions interoperable with current applications
Translate AI concepts into practical, production-ready implementations
Collaborate with internal stakeholders and existing offshore teams
Help bridge gaps in AI expertise and scale knowledge across the organization
Contribute to UI/web-based AI implementations where applicable (Open WebUI or similar tools)
Experience with cloud platforms (AWS, Azure, GCP) and AI service integration
Exposure to enterprise-scale AI projects and data pipelines
Understanding of security best practices in AI applications
Required Qualifications
1+ year of hands-on AI engineering experience (LLMs, AI tools, applied AI systems)
Proven ability to “walk the talk” — strong hands-on builder, not just theoretical
Experience designing and deploying real-world AI solutions
Strong understanding of modern AI trends, tools, and frameworks
Preferred Qualifications
Experience with AI-enabled web interfaces / UI frameworks (e.g., Open WebUI or similar)
Background working with distributed or offshore teams
Ability to operate effectively with limited overlap across time zones
Profile & Mindset
Deep passion for technology and AI — sees it as more than just a job
Self-driven, proactive, and able to operate with high visibility and urgency
Comfortable working in fast-moving, evolving environments
Strong communicator wi
Overview
We are seeking a Senior Java Engineer with hands-on GenAI engineering experience to design and implement AI-driven solutions, Agentic workflows, and performance engineering frameworks. This role requires a strong blend of technical depth, practical AI engineering experience, and a genuine passion for the evolving AI landscape.
This is a flexible engagement, with openness to global talent. The right candidate will play a critical role in accelerating AI adoption and scaling internal capabilities.
Key Responsibilities
Design and implement AI-driven solutions aligned with business and executive priorities as well as ability make these solutions interoperable with current applications
Translate AI concepts into practical, production-ready implementations
Collaborate with internal stakeholders and existing offshore teams
Help bridge gaps in AI expertise and scale knowledge across the organization
Contribute to UI/web-based AI implementations where applicable (Open WebUI or similar tools)
Experience with cloud platforms (AWS, Azure, GCP) and AI service integration
Exposure to enterprise-scale AI projects and data pipelines
Understanding of security best practices in AI applications
Required Qualifications
1+ year of hands-on AI engineering experience (LLMs, AI tools, applied AI systems)
Proven ability to “walk the talk” — strong hands-on builder, not just theoretical
Experience designing and deploying real-world AI solutions
Strong understanding of modern AI trends, tools, and frameworks
Preferred Qualifications
Experience with AI-enabled web interfaces / UI frameworks (e.g., Open WebUI or similar)
Background working with distributed or offshore teams
Ability to operate effectively with limited overlap across time zones
Profile & Mindset
Deep passion for technology and AI — sees it as more than just a job
Self-driven, proactive, and able to operate with high visibility and urgency
Comfortable working in fast-moving, evolving environments
Strong communicator wi
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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
