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Requirements:
Bachelors degree in computer science, Information Technology, or equivalent practical diploma and experience.
Experience developing business applications such as Salesforce, NetSuite
Experience developing with Microsoft AI tools, especially Copilot Studio, Power Apps, Microsoft Graph API and Power Automate.
Strong programming skills in languages relevant to AI development (Python, JavaScript, etc.)
Experience working with low-code, no-code, and pro-code AI tools (e.g., n8n, LangGraph, or similar platforms).
Hands-on experience with AI/ML concepts and integrating AI models into business applications.
Familiarity with AWS / Azure cloud services
Familiarity with data security, privacy, and compliance in cloud environments.
Strong problem-solving skills and ability to work collaboratively in a team environment.
Curiosity and willingness to explore new technologies and expand beyond core expertise.
A team player and a strong customer centric approach

Requirements:
Education and Experience Required:
Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline.
Typically, 7-10 years experience.

Knowledge and Skills:
Strong programming skills in Python, Java, Golang, or JavaScript.
Understanding microservice architecture and how they can be built in a containerized, Kubernetes-managed environment is central to all modern cloud-native applications.
Designing and integrating software systems running on multiple platform types into the overall architecture.
Evaluating forms and processes for software systems testing and methodology, including writing and executing test plans, debugging, and testing scripts and tools.
Excellent written and verbal communication skills. Ability to effectively communicate product architectures and design proposals at senior management levels.

Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX).

Requirements:
3-5 years in a technical role (engineering, solutions engineering, product, or similar) with demonstrated ability to ship software independently.
Hands-on experience building with LLM APIs (OpenAI, Anthropic, Google, or equivalent).
Strong product instincts - knows whats worth building and can make scope decisions without over-engineering.
Python proficiency: scripting, API integration, automation pipelines.
Experience with workflow automation tools (Zapier, Make, n8n, or similar).
Clear communicator across technical and non-technical audiences; self-directed and comfortable with ambiguity.
Optional / Nice-to-Have":
Experience in digital health, healthcare IT, or a regulated industry.
Familiarity with Claude for Work, Cowork, NotebookLM, or Base44.
Background in solutions engineering, technical consulting, or B2B SaaS product management.
Startup or scale-up experience.

Requirements:
Education and Experience Required:
First Level University degree: a) technical, b) non-technical (i.e., Bachelor of Arts/ Science). Typically 3-4 year completion beyond High School level, BA/BS or equivalent experience.
3-5 years experience in relevant technologies and customer environments.
Relevant industry qualification where applicable.

Knowledge and Skills:
Excellent verbal and written communication skills in language to be supported.
Advanced troubleshooting skills in a technical environment.
Excellent analytical and problem solving skills.
Advanced Software and hardware knowledge of computing, storage and peripheral devices.
Specific knowledge and training with the company's products. Knowledge of multiple product lines (for example, proactive, reactive, storage, enterprise systems, tier 2 or 3 support, etc.).
Advanced proficiency with case management databases and tools.
Superior customer service skills.
Phone and remote support experience. E-support experience, knowledge and resolution ability.
Ability to solve and document solutions for usage of other technicians and customers.
Ability to mentor new agents.
Ability train peers on solutions.
Ability to take full ownership for resolution with escalated customers.
Ability to lead technical action plans.
Lead or provide expertise to teams or projects.
Highly Developed knowledge of more complex solutions.

Additional Skills:
Accountability, Accountability, Action Planning, Active Learning, Active Listening, Bias, Business Growth, Business Planning, Coaching, Commercial Acumen, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Experience Strategy, Customer Solutions, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more}

Requirements:
Proven experience designing and building complex AI systems that have been successfully delivered to production, with an end-to-end understanding of research, architecture, validation, and production handoff.
Strong hands-on experience with modern AI approaches, including Machine Learning, Deep Learning, and LLM-based systems; experience with agentic AI systems or orchestration patterns is a strong advantage.
Demonstrated ability to move quickly from idea to working prototype, with a strong passion for hands-on experimentation and applied innovation.
Experience working in environments involving sensitive data and regulatory constraints, with an understanding of how these considerations shape AI system design.
Excellent system-level technical judgment, including the ability to identify risks, tradeoffs, and unintended consequences in AI systems.
Proven ability to act as a technical leader without formal authority, influencing and guiding senior peers through collaboration and expertise.
Strong communication and interpersonal skills, with the ability to explain complex technical concepts to diverse stakeholders.
Ability to contribute to clear technical and AI-related compliance documentation.
High proficiency in Python and modern AI/ML tooling.
Optional / Nice-to-Have :
Deep experience in NLP, NLU, or clinical text processing.
Experience deploying LLMs or agent-based systems in production.
Familiarity with cloud-native ML stacks (AWS, Docker, Kubernetes).

Requirements:
8+ Years of Engineering Excellence: Deep experience building and scaling large-scale, data-intensive web applications.
Proven Technical Leadership: Experience as a Tech Lead or Architect, with a track record of driving complex projects to completion and steering technical roadmaps across multiple workstreams.
Full-Stack Versatility: You are a true generalist, equally comfortable debugging a frontend rendering issue, optimizing a backend service, or tuning a complex data transformation.
Full-Stack expertise: Expert-level knowledge of React, Node.js, and Python.
Data Infrastructure Expert: Proven track record of building and managing modern data warehouses and high-throughput pipelines. You understand data modeling, concurrency, and how to optimize data flow from ingestion to visualization.
Systems Thinker: You don't just fix bugs; you find the systemic cause and build a solution that prevents them for everyone.

Requirements:
Experience: 3+ years of experience in a customer-facing Implementation Engineer, Technical Onboarding Manager, or Solution Engineer role (SaaS experience preferred).
EMR/EHR Expertise (Required): Proven experience working with Electronic Medical Record systems (e.g., Epic, Athenahealth, eCW, Cerner, Veradigm). You must understand EMR data structures, workflows, and integration points.
Healthcare Data Knowledge: Solid understanding of US healthcare data standards (e.g., HL7, FHIR, C-CDA) and clinical terminology.
Technical Proficiency
Proven experience with SQL and data analysis (Must-have).
Experience debugging web applications and troubleshooting integration issues.
Communication: Exceptional verbal and written communication skills. You can articulate complex technical concepts clearly to both engineers and non-technical stakeholders.
Project Management: Strong organizational skills with the ability to manage and prioritize multiple onboarding projects simultaneously in a fast-paced environment.
Problem Solving: A relentless troubleshooter with a "can-do" attitude and deep attention to detail.
Availability: Willingness to work hours that overlap with US Eastern and Central Time zones, from Monday to Friday, to support US-based customers.
How You Would Stand Out:
Specific Epic Certifications: While general EMR experience is required, specific certifications (e.g., Epic Bridges, Ambulatory) are a strong advantage.
Scripting Skills: Proven experience in programming (Python, JavaScript, or Node.js) for data manipulation or automation.
Growth Mindset: Experience working in a fast-growing startup organization.

Requirements:
Mid-senior level experience or Military experience in relevant technical fields.
Strong engineering background with a focus on ML/AI technologies.
Experience with LLMs, agentic frameworks, or internal ML platforms is highlyvalued.
Ability to work in a fast-paced environment, bridging the gap between researchand product engineering.

Requirements:
Team player at heart.
Hands-on Backend Experience in developing a large-scale, high throughput system.
Experience designing and scaling distributed data processing systems.
7+ years of experience as a Software Engineer.
5+ years of experience with High level server-side frameworks, Preferably Python.
Experience with AWS or other cloud services

Requirements:
Team player at heart.
Hands-on full-stack Experience in developing a large-scale system
5+ years of experience as a Software Engineer
3+ years of experience with client-side frameworks (preferably React)
3+ years of experience with server-side frameworks - Python/ Node.js
Experience with AWS or other cloud services
Advantages:
Experience developing with React Native
B.Sc / M.Sc in Computer Science / Software Engineering
Familiarity with Git, CI/CD framework and testing
Experience with python frameworks
Experience with serverless architecture
Knowledge of UI/UX principles and experience with design systems
Experience with RDS / Snowflake

Requirements:
Qualifications:
Bachelors degree in Computer Engineering, Electronics, or Electrical Engineering.
Masters or PhD in a relevant domain is highly desirable.
10+ years of experience in product R&D within the computer/system software industry, focusing on kernel and driver development.

Knowledge and Skills:
In-depth working knowledge and Hands-on experience in I/O subsystems, programming, and kernel development.
Expertise in C and C++ programming languages.
Strong understanding of operating system internals and kernel & driver internals, including memory management, threading, and resource scheduling.
Proven expertise in debugging, kernel triaging, and resolving memory and performance-related issues.
Proficient in performance profiling, multithreading, and driver programming.
Strong Knowledge in Linux and virtualization technologies such as VMware, Hyper-v and KVM.
Ability to Design and implement scalable, efficient solutions for complex datapath and kernel challenges.
Strong ability to innovate and bring fresh approaches to technical challenges.
Excellent problem-solving skills with a proactive mindset and sharp analytical abilities.
Exceptional communication skills to effectively present and discuss technical designs, proposals, and solutions with senior management and stakeholders.
Demonstrated technical leadership with a focus on driving innovation.

Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

Requirements:
+4 years of experience in a customer-facing Tech Support/ Integration/ Services role at a SaaS company or equivalent experience
Proven experience with SQL and data analysis - MUST
Proven experience with debugging web applications
Strong project management skills
Excellent problem-solving and troubleshooting skills
Proven excellent customer-facing communication skills (verbal and written)
Familiarity with the US healthcare industry- Advantage
Proven experience in programming (JavaScript, Python, Nodejs) - Advantage

Requirements:
3+ years in solutions engineering, system engineering, or system integration (SaaS/web).
Strong knowledge of REST APIs, JSON, HTTP, and relational databases (SQL).
Understanding complex system architectures and data flow.
Experience in debugging, troubleshooting, and analysing logs.
Familiarity with HTML/CSS; JavaScript preferred; PHP/.NET a plus.
Experience with eCommerce platforms (e.g., Shopify, Magento, SFCC) is an advantage.
Excellent communication skills; able to explain complex concepts to varied audiences.
Experience working with distributed teams; ability to manage multiple projects.

Requirements:
Youll do it using:
3+ years of experience in automation development, with a focus on Server side (Python)
Bachelor's degree in Computer Science, Engineering, or related discipline
Experience with AWS, docker, Jenkins, Git
Knowledge of Linux environments
Proficiency in English
Advantage:
Experience with performance/load tests
Background in mathematics/statistics
Youll excel by:
Demonstrating strong analytical and problem-solving skills
Being an independent team player, fast learner, and get-things-done person
Having excellent communication skills
Having a can-do approach
Being resourceful and creative.