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
Similar Jobs
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Supports People Business Partners with performance management, HRMS data maintenance, audits, employee lifecycle processing, compliance tracking, reporting, relocations, policy investigations, employee relations trends, and HR projects. The role requires strong analytical, communication, organizational, and stakeholder-management skills, along with proficiency in Microsoft Excel and HR systems.
Top Skills:
Human Resource Management Systems (Hrms)ExcelMS Office
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Leads end-to-end quality assurance for Workday implementations, upgrades, enhancements, and ERP-related initiatives. Develops QA strategies, test plans, and frameworks; oversees functional, integration, regression, and UAT testing; manages defects, test data, environments, releases, and quality reporting. Partners with stakeholders and delivery teams to ensure UAT readiness, issue resolution, requirements alignment, and adherence to QA governance and best practices.
Top Skills:
AgileAzure DevopsErpJIRAProfessional Services Automation (Psa)Workday
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Analyzes the Security for AI competitive landscape, including AI detection and response, generative AI security, autonomous agents, prompt injection, and data leakage. Partners with Product, Sales, Marketing, Strategy, and senior leaders to guide product roadmaps, go-to-market strategy, deal support, sales tactics, and competitive positioning. Conducts win/loss analysis and translates complex AI and cybersecurity concepts into executive and field-actionable guidance.
Top Skills:
Ai GovernanceArtificial IntelligenceCybersecurityGenerative AiLarge Language ModelsMachine Learning
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
