AI Prototype Engineer Job at AvePoint (Jersey City)

AI Prototype Engineer

As a Prototype Engineer, you will rapidly design and develop proof-of-concept (P...

Location

United States , Richmond, Virginia

Salary:

125000.00 - 165000.00 USD / Year

AvePoint

Expiration Date

Until further notice

Requirements

Over 6 years of software development experience with proficiency in C#, Python, TypeScript, Node, or similar languages
Hands-on experience with modern web frameworks and services development
Practical experience building on Microsoft Azure and Microsoft 365 services and/or Google Cloud and Google Workspace services
Experience with data pipeline development, ETL processes, and data management tools (e.g., Databricks, Fabric, SQL/NoSQL databases)
Ability to deal with ambiguity, communicate effectively, and collaborate across teams and disciplines
Passion for learning new technologies and quickly ramping on unfamiliar domains

Job Responsibility

Architect, develop, and iterate on prototypes and POCs to validate new concepts and technologies
Collaborate with product, engineering, and customer-facing teams to understand requirements and constraints
Research and propose design options, documenting trade-offs and performance considerations
Implement unit and system-level testing strategies to ensure quality and scalability
Summarize findings and present recommendations to technical and business stakeholders
Push the technical bar by experimenting with emerging technologies and frameworks relevant to AvePoint’s platform
Be self-guided and disciplined in managing time, dealing well with ambiguity and leading hands-on technical work

What we offer

Competitive market-based compensation (salary, yearly bonus + equity)
Career progression and internal mobility opportunities
Work-life balance through a hybrid working model
Unlimited PTO
Comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO)

Fulltime

AI Prototype Engineer

As a Prototype Engineer, you will rapidly design and develop proof-of-concept (P...

Location

United States , Seattle

Salary:

125000.00 - 165000.00 USD / Year

AvePoint

Expiration Date

Until further notice

Requirements

Over 6 years of software development experience with proficiency in C#, Python, TypeScript, Node, or similar languages
Hands-on experience with modern web frameworks and services development
Practical experience building on Microsoft Azure and Microsoft 365 services and/or Google Cloud and Google Workspace services
Experience with data pipeline development, ETL processes, and data management tools (e.g., Databricks, Fabric, SQL/NoSQL databases)
Ability to deal with ambiguity, communicate effectively, and collaborate across teams and disciplines
Passion for learning new technologies and quickly ramping on unfamiliar domains

Job Responsibility

Architect, develop, and iterate on prototypes and POCs to validate new concepts and technologies
Collaborate with product, engineering, and customer-facing teams to understand requirements and constraints
Research and propose design options, documenting trade-offs and performance considerations
Implement unit and system-level testing strategies to ensure quality and scalability
Summarize findings and present recommendations to technical and business stakeholders
Push the technical bar by experimenting with emerging technologies and frameworks relevant to AvePoint’s platform
Be self-guided and disciplined in managing time, dealing well with ambiguity and leading hands-on technical work

What we offer

Competitive market-based compensation (salary, yearly bonus + equity)
Career progression and internal mobility opportunities
Work-life balance through a hybrid working model
Unlimited PTO
Comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO)

Fulltime

AI Prototype Engineer

As a Prototype Engineer, you will rapidly design and develop proof-of-concept (P...

Location

United States , Chicago

Salary:

125000.00 - 165000.00 USD / Year

AvePoint

Expiration Date

Until further notice

Requirements

Over 6 years of software development experience with proficiency in C#, Python, TypeScript, Node, or similar languages
Hands-on experience with modern web frameworks and services development
Practical experience building on Microsoft Azure and Microsoft 365 services and/or Google Cloud and Google Workspace services
Experience with data pipeline development, ETL processes, and data management tools (e.g., Databricks, Fabric, SQL/NoSQL databases)
Ability to deal with ambiguity, communicate effectively, and collaborate across teams and disciplines
Passion for learning new technologies and quickly ramping on unfamiliar domains

Job Responsibility

Architect, develop, and iterate on prototypes and POCs to validate new concepts and technologies
Collaborate with product, engineering, and customer-facing teams to understand requirements and constraints
Research and propose design options, documenting trade-offs and performance considerations
Implement unit and system-level testing strategies to ensure quality and scalability
Summarize findings and present recommendations to technical and business stakeholders
Push the technical bar by experimenting with emerging technologies and frameworks relevant to AvePoint’s platform
Be self-guided and disciplined in managing time, dealing well with ambiguity and leading hands-on technical work

What we offer

Competitive market-based compensation (salary, yearly bonus + equity)
Career progression and internal mobility opportunities
Work-life balance through a hybrid working model
Unlimited PTO
Comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO)

Fulltime

Cloud & AI Solution Engineer - AI Apps

Are you insatiably curious, deeply passionate about the realm of AI & applicatio...

Location

United Kingdom , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, or a related field or equivalent work experience
Experience in technical pre‑sales, consulting, and customer‑facing architecture engagements
Proven ability to influence both technical and business decision‑makers
Strong track record leading complex customer architecture and technical pre‑sales engagements
Trusted technical advisor across Modern Database, AI Applications, and Data Platforms
AI Application Architecture
Full‑Stack & Cloud‑Native Development
Databases & Data Architecture
Hands‑on delivery of Proof of Concepts, Minimum Viable Products, and rapid prototypes, with direct contribution in architecture design sessions, hackathons, and customer validations—consistently converting concepts into scalable, production‑ready solutions.

Job Responsibility

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments
Lead hands-on engagements—hackathons, code-with sessions, and architecture workshops—to accelerate adoption of Microsoft’s developer tools and cloud platforms
Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products
Maintain deep expertise in AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or .NET)
Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring)
Represent Microsoft through thought leadership in developer communities and customer forums

Fulltime

New

Sr Staff AI Software Engineer (CORA AI)

Idira is looking for a Senior AI Software Engineer to join our Generative AI fou...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree with 15 years of experience, or Master's degree with 12 years of experience, or PhD with 8 years of experience
Extensive experience in software engineering, with a focus on building and deploying production-grade systems
Proven experience with cloud platforms, particularly AWS services
Strong programming skills in languages such as Python
Hands-on experience with machine learning, deep learning, and Large Language Models (LLMs)
Experience with the full software development lifecycle (design, development, testing, deployment, maintenance)

Job Responsibility

Design, develop, and deploy scalable AI agents and shared infrastructure for GenAI capabilities
Manage the full software development lifecycle, from prototyping to production-grade, observable systems
Collaborate with product managers, researchers, and engineers to translate ideas into robust and scalable services
Work hands-on with large language models (LLMs), agentic frameworks, and a broad range of AWS services
Implement strong telemetry, evaluation metrics, and feedback loops to continuously improve AI solutions
Champion operational excellence through pragmatic experimentation, iteration, and solid design

Staff Software Engineer, Managed AI - AI Platform

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'...

Location

United States , San Francisco, CA; Sunnyvale, CA

Salary:

208725.00 - 253000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Advanced degree in Computer Science/Engineering
8-10+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function
Experience with distributed systems, cloud services (compute, storage, networking, database), and delivering early-stage projects quickly
Experience with Generative AI (LLMs, Multimodal) and familiar with AI infrastructure (training, inference, ETL pipelines)
Proficient with container runtimes (e.g., Kubernetes), microservices, REST APIs, gRPC, and the full software development lifecycle including CI/CD

Job Responsibility

Lead the design and implementation of core AI services, including: Resilient fault-tolerant queues for efficient task distribution
Model catalogs for managing and versioning AI models
Scheduling mechanisms optimized for cost and performance
Architect and scale infrastructure to handle millions of API requests per second
Implement robust monitoring and alerting to ensure system health and 24/7 availability
Collaborate closely with product management, business strategy, and other engineering teams to define the AI platform roadmap
Influence the long-term vision and architectural decisions of the platform
Contribute to open-source AI frameworks and actively participate in the AI community
Prototype and rapidly iterate on emerging technologies and new features

What we offer

Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

Senior Software Engineer, Managed AI - AI Platform

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'...

Location

United States , San Francisco, CA; Sunnyvale, CA

Salary:

172425.00 - 209000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Advanced degree in Computer Science/Engineering
4-5+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function
Experience with distributed systems, cloud services (compute, storage, networking, database), and delivering early-stage projects quickly
Experience with Generative AI (LLMs, Multimodal) and familiar with AI infrastructure (training, inference, ETL pipelines)
Proficient with container runtimes (e.g., Kubernetes), microservices, REST APIs, gRPC, and the full software development lifecycle including CI/CD

Job Responsibility

Lead the design and implementation of core AI services, including: Resilient fault-tolerant queues for efficient task distribution
Model catalogs for managing and versioning AI models
Scheduling mechanisms optimized for cost and performance
Architect and scale infrastructure to handle millions of API requests per second
Implement robust monitoring and alerting to ensure system health and 24/7 availability
Collaborate closely with product management, business strategy, and other engineering teams to define the AI platform roadmap
Influence the long-term vision and architectural decisions of the platform
Contribute to open-source AI frameworks and actively participate in the AI community
Prototype and rapidly iterate on emerging technologies and new features

What we offer

Restricted Stock Units
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

New

Applied AI Engineer - Engineering Simulation & Design Exploration

Engineering simulation is undergoing a structural shift. What used to be a slow,...

Location

Canada , Quebec

Salary:

Not provided

Bentley Systems

Expiration Date

Until further notice

Requirements

Strong programming ability (Python required)
Experience with PyTorch, JAX, or similar ML frameworks
Solid understanding of numerical simulation: FEM, CFD, or multiphysics modeling
Familiarity with: Deep learning, surrogate modeling, reduced-order models, or optimization workflows
Good communication skills and collaborative mindset

Job Responsibility

Keep track of new technologies in the field
Evaluate emerging simulation and AI tools through hands-on prototyping
Build and benchmark surrogate models against traditional FEM/CFD workflows
Test robustness, limitations, and failure modes of new approaches
Prototype hybrid pipelines (e.g., surrogate + high-fidelity validation)
Explore how these approaches can integrate into real engineering workflows
Report to stakeholders with clear recommendations

Fulltime

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