ai software developer

OpenText

AI-First. Future-Driven. Human-Centered.
 At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.
 
YOUR IMPACT
 
As a Software Developer, you will independently develop complex software while taking ownership of code quality and timely delivery. You will play an active role in analysis, design, and planning, helping the team resolve issues quickly and adopt strong engineering practices, including agile development and test-driven development.
 
WHAT THE ROLE OFFERS
 
<ul>
<li>The opportunity to independently develop complex software for enterprise products.</li>
<li>Ownership of code quality, including active code reviews and defect prevention.</li>
<li>Involvement in estimation, planning, and design discussions from the ground up.</li>
<li>A collaborative environment where clear communication and teamwork are valued.</li>
<li>Exposure to agile development methodologies and test-driven development practices.</li>
<li>The chance to work with modern AI frameworks and agentic AI tools as part of day-to-day development.</li>
</ul>
WHAT YOU WILL NEED TO SUCCEED
 
Mandatory: 
<ul>
<li>Python: Strong, hands-on experience with Python and its libraries.</li>
<li>AI Frameworks: Good understanding of AI frameworks and their practical application.</li>
<li>AI Agents: Experience with agentic AI concepts, including the development and deployment of tools and agents.</li>
<li>Hands-on experience working withLangGraph/LangChain</li>
</ul>
Additional requirements: 
<ul>
<li>BE/B.Tech/MCA/M.Tech/MBA/MSc in Computer Science or a related field.</li>
<li>2 to 5 years of enterprise product development experience.</li>
<li>Experience with Natural Language Processing (NLP) concepts and techniques.</li>
<li>Strong problem-solving, analytical, design, and coding skills.</li>
<li>Proficiency in REST API implementation and consuming different APIs.</li>
<li>Hands-on experience with UI frameworks based on object-oriented JavaScript, such as BackboneJS or AngularJS.</li>
<li>Up-to-date knowledge of AI trends, tools, and best practices relevant to information management.</li>
<li>Strong communication, collaboration, and learning agility.</li>
<li>Experience with regression testing.</li>
<li>Good understanding of CI/CD and DevOps tools.</li>
<li>Familiarity with software development lifecycles and Agile methodologies.</li>
<li>Content management domain experience is a plus.</li>
</ul>
ONE LAST THING: 
At OpenText we understand and value diversity in our employees and we are proud to be an Equal Opportunity Employer. We hire the best talent regardless of race, creed, color, national origin, ancestry, disability, marital status, sex, age, veteran status or sexual orientation. We draw on our diversity and collective genius as we continue to shape a better future for our customers and be the Best Place to Work for our employees- nothing is off the table at OpenText. If you require accommodation in completing the application process please email accommodationrequests@opentext.com
 
OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.
 If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket atAsk HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

AI/Python Software Developer

fritado AI

Company: Tattvalogic Role: AI Developer Intern Experience: Freshers / Students / 0&ndash;1 Year Employment Type: Internship Location: Bangalore / Remote Department: Product &amp; EngineeringAbout FritadoFritado is an AI-powered growth automation platform designed to help businesses discover prospects, identify the right buyers, engage them through personalized outreach, and automate their sales and marketing workflows.Fritado combines Artificial Intelligence, Lead Generation, Sales Automation, Data Intelligence, Email Outreach, Workflow Automation, and AI-powered insights into a single platform.We are looking for enthusiastic and curious AI Developer Interns who want to work on a real-world AI SaaS product and gain practical experience building intelligent features that are used by businesses.About the RoleAs an AI Developer Intern, you will work closely with our product and engineering teams to build, test, improve, and deploy AI-powered capabilities within Fritado.This is a hands-on role where you will have the opportunity to work with Generative AI, LLMs, prompt engineering, AI agents, APIs, data processing, automation workflows, and AI-based decision systems.You will not simply be working on training exercises or sample projects. You will contribute to actual product features and engineering initiatives within Fritado.Key ResponsibilitiesAI &amp; Generative AI<ul><li>Work with Large Language Models (LLMs) and Generative AI APIs.</li><li>Develop and optimize prompts for different product use cases.</li><li>Build AI-powered content generation and personalization features.</li><li>Experiment with different AI models and evaluate their performance.</li><li>Develop structured prompts and AI workflows for reliable outputs.</li><li>Implement AI-based classification, extraction, summarization, and recommendation capabilities.</li><li>Help improve the accuracy, relevance, and consistency of AI-generated responses.</li></ul>AI Automation &amp; Agents<ul><li>Assist in developing AI agents and autonomous workflows.</li><li>Work on AI-driven lead research and prospect intelligence.</li><li>Help build AI systems that analyze companies, contacts, industries, and buyer profiles.</li><li>Contribute to automated decision-making and qualification workflows.</li><li>Build integrations between AI services and Fritado's backend systems.</li><li>Work on AI-powered sales and marketing automation.</li></ul>Product Engineering<ul><li>Develop and integrate AI features into the Fritado platform.</li><li>Work with REST APIs and backend services.</li><li>Write clean, maintainable, and reusable code.</li><li>Debug and troubleshoot AI and application-related issues.</li><li>Test AI features against different inputs and edge cases.</li><li>Collaborate with developers, product managers, and other interns.</li><li>Participate in code reviews and technical discussions.</li></ul>Data &amp; Intelligence<ul><li>Work with structured and unstructured data.</li><li>Assist with data cleaning, transformation, extraction, and enrichment.</li><li>Build logic for analyzing prospect and company information.</li><li>Help improve AI-based lead qualification and scoring.</li><li>Work with databases and APIs to support AI-powered product functionality.</li></ul>Required SkillsMust Have<ul><li>Basic programming knowledge in Python or JavaScript/Node.js.</li><li>Understanding of APIs and JSON.</li><li>Basic understanding of Artificial Intelligence and Machine Learning concepts.</li><li>Interest in Generative AI and Large Language Models.</li><li>Understanding of prompt engineering concepts.</li><li>Strong problem-solving and analytical skills.</li><li>Ability to learn new technologies quickly.</li><li>Good debugging and troubleshooting skills.</li></ul>Good to Have<ul><li>Experience with OpenAI, Gemini, Claude, or other LLM APIs.</li><li>Experience with Python AI/ML libraries.</li><li>Knowledge of LangChain, LangGraph, CrewAI, or similar AI frameworks.</li><li>Basic knowledge of MongoDB, PostgreSQL, or other databases.</li><li>Experience building REST APIs.</li><li>Knowledge of Node.js, Express, React, or Next.js.</li><li>Familiarity with Git and GitHub.</li><li>Experience with vector databases or RAG.</li><li>Understanding of embeddings and semantic search.</li><li>Previous AI/ML or Generative AI projects.</li></ul>What You Will LearnDuring the internship, you will get practical exposure to:<ul><li>Generative AI and LLM application development</li><li>Prompt engineering</li><li>AI agents and autonomous workflows</li><li>AI-powered SaaS product development</li><li>API integration</li><li>AI evaluation and quality control</li><li>Data processing and enrichment</li><li>Lead intelligence and sales automation</li><li>Backend and product engineering</li><li>Database integration</li><li>Git/GitHub and software development practices</li><li>Production-level debugging and deployment</li></ul>Who Should Apply?This opportunity is ideal for:<ul><li>B.Tech / B.E. students</li><li>M.Tech students</li><li>MCA students</li><li>Computer Science / IT students</li><li>AI/ML students</li><li>Recent graduates</li><li>Self-taught developers with strong AI interest</li></ul>Candidates with personal AI projects, GitHub repositories, hackathon projects, or college projects involving AI/ML or Generative AI are encouraged to apply.We value ability and curiosity over certificates.What We Look ForWe are looking for candidates who:<ul><li>Are genuinely interested in AI.</li><li>Enjoy building and experimenting.</li><li>Can solve problems independently.</li><li>Are comfortable learning unfamiliar technologies.</li><li>Can understand an existing codebase.</li><li>Pay attention to quality and details.</li><li>Are willing to take ownership of assigned tasks.</li><li>Can work in a fast-moving product environment.</li><li>Want to build technology that solves real business problems.</li></ul>Internship ExperienceYou will work on real Fritado product initiatives rather than isolated academic assignments.Depending on your skills and performance, you may get opportunities to contribute to areas such as:AI Lead Intelligence &rarr; AI Research &rarr; Lead Qualification &rarr; AI Outreach &rarr; Workflow Automation &rarr; AI Agents &rarr; Sales Intelligence &rarr; Generative AIHigh-performing interns may be considered for a full-time AI Developer / AI Engineer opportunity based on business requirements and performance.Selection ProcessThe selection process may include:<ul><li>Resume / Application Review</li><li>Technical Screening</li><li>AI / Programming Assignment</li><li>Technical Interview</li><li>Final Discussion</li></ul>Candidates may be asked to demonstrate an existing AI project or build a small AI-powered application as part of the evaluation.Why Join Fritado?<ul><li>Work on a real AI SaaS product.</li><li>Get hands-on experience with Generative AI.</li><li>Work closely with an experienced product/engineering team.</li><li>Build features that can reach real users.</li><li>Gain exposure to AI agents and automation.</li><li>Develop production-level engineering skills.</li><li>Opportunity for full-time employment based on performance.</li></ul>If you are excited about AI and want to move beyond tutorials into building real AI products, we would love to hear from you.Pay: From ₹10,000.00 per monthBenefits:<ul><li>Flexible schedule</li></ul>Work Location: Remote

AI Product Developer Intern

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 General Summary
 
 
 
 
 About Us
 
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
 
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 About The Role
 
 
 
 We are looking for strong technical and analytical skills in C++/Python‑based AI development in a Linux environment. Ability to work effectively as part of a team, take ownership of assigned tasks or features, and independently drive implementation within a defined technical scope.
 
 
 
 We are looking for 2-8 years Software Engineering or related work experience
 
 
 
 
 Key Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Improve and optimize key Deep Learning models on Qualcomm AI 100
 </li>
 <li>
 Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
 </li>
 <li>
 Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
 </li>
 <li>
 Build software tools and ecosystem around AI SW Stack.
 </li>
 <li>
 Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
 </li>
 <li>
 Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
 </li>
 <li>
 Optimize the entire deep learning pipeline including graph compiler integration
 </li>
 <li>
 Apply knowledge of software engineering best practices.
 
 
 
 </li>
 </ul>
 
 Required Skills And Aptitude
 
 
 
 <ul>
 <li>
 Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
 </li>
 <li>
 Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
 </li>
 <li>
 Strong proficiency in PyTorch and JIT
 </li>
 <li>
 Ability to work independently on assigned problem areas, understand requirements, and drive development tasks to completion
 </li>
 <li>
 Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
 </li>
 <li>
 Strong developer with a research mindset &ndash; strives to innovate.
 
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experiences to run workloads on large scale heterogeneous clusters is a plus
 </li>
 <li>
 Knowledge of compiler is a plus.
 </li>
 <li>
 Hands-on experience with CUDA, CUDNN is a plus.
 </li>
 <li>
 Well versed with open-source development practices.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
 </li>
 <li>
 3+ years Software Engineering or related work experience.
 </li>
 <li>
 2+ years experience with Programming Language such as C++, Python.
 
 
 
 </li>
 </ul>
 
 What's On Offer
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
 <ul>
 <li>
 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Cloud Machine Learning Engineer - Riyadh, KSA

Findrs

<div>
 
 Forward Deployed Engineer | AI
 
 
 
 
 
 You can write good software.
 
 
 
 
 
 But can you walk into a business, understand a problem that nobody has properly defined yet, work out where AI can genuinely make a difference, and then build the thing?
 
 
 
 
 
 Because that&rsquo;s what this role is really about.
 
 
 
 
 
 You&rsquo;ll join a fast-growing AI engineering company that embeds small technical teams directly inside its clients.
 
 
 
 
 
 You won&rsquo;t spend months working from a perfectly written product specification.
 
 
 
 
 
 Instead, you&rsquo;ll sit close to founders, operators and senior stakeholders, understand how their business actually works, identify where technology can create leverage, and turn ambiguous problems into production AI systems.
 
 
 
 
 
 You&rsquo;ll own the outcome from beginning to end.
 
 
 
 
 
 
 What will you actually be doing?
 
 
 
 
 
 
 You&rsquo;ll act as the technical lead on client projects.
 
 
 
 
 
 That means you could be:
 
 <ul>
 <li>
 Sitting with a founder trying to understand why a critical internal workflow takes three days.
 </li>
 <li>
 Working out whether AI is actually the right answer.
 </li>
 <li>
 Designing the architecture for a new system.
 </li>
 <li>
 Building integrations, evaluations and deployment infrastructure.
 </li>
 <li>
 Shipping an initial version quickly.
 </li>
 <li>
 Watching how real users interact with it.
 </li>
 <li>
 Iterating until it genuinely solves the problem.
 </li>
 </ul>
 
 
 
 
 You&rsquo;ll be expected to move comfortably between engineering and communication.
 
 
 One minute you might be deep in the codebase.
 
 
 
 
 
 The next, you&rsquo;ll be explaining to a non-technical stakeholder what you&rsquo;ve built, why you&rsquo;ve built it that way, and what needs to happen next.
 
 
 
 
 
 You won&rsquo;t simply receive tickets.
 
 
 
 
 
 You&rsquo;ll help decide what the tickets should be.
 
 
 
 
 
 
 This could suit you if&hellip;
 
 
 
 
 
 
 You&rsquo;re an engineer who likes building things more than talking about building things.
 
 
 
 
 
 You&rsquo;re already experimenting with frontier AI models and tooling because you&rsquo;re genuinely curious about what they can do.
 
 
 
 
 
 You understand that models are powerful, but you also understand their limitations.
 
 
 
 
 
 You probably have side projects, prototypes, products or experiments sitting in your GitHub that nobody asked you to build.
 
 
 
 
 
 You enjoy starting with a blank page.
 
 
 
 
 
 You&rsquo;re comfortable making decisions without having every requirement defined for you.
 
 
 
 
 
 And importantly, you can talk to people.
 
 
 
 
 
 You don&rsquo;t need a Product Manager translating every conversation between you and the client.
 
 
 
 
 
 You&rsquo;re happy sitting in a room with founders or senior operators, asking intelligent questions and turning what you hear into something that works.
 
 
 
 
 
 
 Your background
 
 
 
 You&rsquo;ll need a strong grounding in software engineering and be comfortable operating across the full development lifecycle.
 
 
 You might already be an AI Engineer, Software Engineer, Founding Engineer, Solutions Engineer or Forward Deployed Engineer.
 
 
 Your exact title matters less than what you&rsquo;ve actually built.
 
 
 Having created something yourself is a major advantage.
 
 
 
 That could be:
 
 
 <ul>
 <li>
 A startup.
 </li>
 <li>
 A software product.
 </li>
 <li>
 An AI model or application.
 </li>
 <li>
 A consultancy.
 </li>
 <li>
 An open-source project.
 </li>
 <li>
 A side project with real users.
 </li>
 </ul>
 
 
 
 
 What matters is that you know what it feels like to take something from an idea to something people actually use.
 
 
 
 
 
 
 Why join?
 
 
 
 Because you&rsquo;ll get exposure to a range of genuinely difficult AI problems rather than spending years maintaining one narrow product area.
 
 
 
 
 
 You&rsquo;ll work directly with clients.
 
 
 
 
 
 You&rsquo;ll have significant autonomy.
 
 
 
 
 
 You&rsquo;ll ship quickly.
 
 
 
 
 
 And you&rsquo;ll see the systems you build being used in real businesses, rather than disappearing into an endless backlog.
 
 
 
 
 
 This is a remote-first position, although you&rsquo;ll need to be comfortable travelling into London for client meetings and on-site work when required.
 
 
 
 
 
 If you want a role where you&rsquo;re given a tightly defined specification and told exactly what to build, this probably isn&rsquo;t it.
 
 
 
 
 
 If you want to be the person who figures out what should be built in the first place, then builds it, this could be a very good fit.
 
 
 
 
 
 Apply now and tell us about the most interesting thing you&rsquo;ve built.
 
</div>

Forward Deployed Engineer

Sharegain

<div>
 
 
 About Us
 
 
 
 Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor?
 
 
 Our team of experts in the UK, US and Israel built the solution: a platform that empowers online brokers, private banks, and wealth managers to offer securities lending to their clients. We call it SLaaS: Securities Lending as a Service. It&rsquo;s a fully digital, customizable, end-to-end solution that automates front- and back-office operations. Institutions and investors are now free to earn more from what they own.
 
 
 Every Sharegainer has their own backstory, but we all share an ambition to do things differently &ndash; bigger, better, and greater. Together we&rsquo;re on a mission to democratize capital markets by building a more liquid world. The more we share, the more we all gain.
 
 
 
 About The Role
 
 
 
 We are looking for an experienced AI Engineer to join our R&amp;D team. You will be delivering scalable web applications from idea to production, taking care of all aspects of software development &ndash; from technologies and security to scalability and reliability.
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 End-to-end ownership of AI &amp; agent systems: take full ownership of your features from architecture and design through to implementation and production, including AI-native features such as autonomous agents and intelligent workflows. Own the full model quality lifecycle from experimentation through to production monitoring and improvement.
 </li>
 <li>
 Cloud infrastructure: be part of the design, maintenance, monitoring, and troubleshooting of our cloud applications.
 </li>
 <li>
 Technical excellence: drive technical excellence, high product quality, innovation, and timely delivery in a production-critical environment.
 </li>
 <li>
 Translate business needs into concrete system architecture and implement it end-to-end across the stack
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 6+ years of software development experience
 </li>
 <li>
 Proven LLM experience: write, optimize, and measure the effectiveness of AI prompts and applications. Rapidly experiment with models, prompts, and architectures using structured evaluation to identify the best solutions, and translate cutting-edge LLM capabilities into reliable, production-grade systems.
 </li>
 <li>
 Strong software engineering fundamentals: SOLID, TDD, version control systems (Git/GitHub/GitLab), and the ability to write production-ready code
 </li>
 <li>
 Deep understanding of Computer Science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance
 </li>
 <li>
 Familiarity with software architecture patterns such as microservices, CQRS, and event sourcing
 </li>
 <li>
 Experience with at least one major cloud provider (AWS, Azure, or GCP)
 </li>
 <li>
 Experience with Kubernetes and Docker containers
 </li>
 <li>
 Experience designing and building microservices architecture
 </li>
 <li>
 A team player with a positive attitude and a problem-solver mindset
 </li>
 </ul>
</div>

AI Software Engineer

Klipboard

<div>
 "At Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work."
 
 
 Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade &ndash; wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively.
 
 
 Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We&rsquo;re looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication.
 
 
 A hands-on building role: taking AI features from idea to shipped, working software quickly, inside real products that real businesses depend on. You design prompts, manage context, integrate models, build evaluations and handle the plumbing and the polish &ndash; all of it.
 
 
 Crucially, most of this work happens in established C# .NET codebases, not greenfield projects. Klipboard's products have been earning their keep for years, and the job is landing modern AI capability inside them cleanly, without breaking what already works. Fast matters here, but fast with evidence &ndash; every AI feature needs evaluation behind it before customers see it. We would rather you shipped something measured and honest this sprint than something perfect next quarter.
 
 
 
 Key Responsibilities
 
 
 
 
 Role Accountabilities
 
 
 
 <ul>
 <li>
 Build AI features quickly and properly &ndash; from prompts and context design through to full LLM integration in established C# .NET codebases.
 </li>
 <li>
 Make them production-grade &ndash; error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer.
 </li>
 <li>
 Stay sharp and share as you go &ndash; keeping up with a fast-moving space and spreading knowledge through code, examples and conversation.
 
 
 </li>
 </ul>
 
 Key Activities and Contributions
 
 
 
 <ul>
 <li>
 Design and build prompts, context strategies and LLM integrations for product features, in domains where a confidently wrong price, part match or stock answer is worse than no answer.
 </li>
 <li>
 Work primarily in C# .NET, integrating AI capability into established codebases through clean service boundaries, sensible abstractions and respect for the code that is already there.
 </li>
 <li>
 Move fast on real deadlines &ndash; prototype in days, harden in weeks, and know the difference between a corner that can be cut and one that cannot.
 </li>
 <li>
 Build evaluation alongside the feature, not after it &ndash; test against real business cases, measure quality honestly, and let the numbers settle arguments.
 </li>
 <li>
 Handle the unglamorous parts well: error handling, fallbacks when a model misbehaves, latency, token cost, logging and monitoring.
 </li>
 <li>
 Work with the engineers who own each codebase, fitting in with their patterns and pipelines rather than parachuting in something nobody else can maintain.
 </li>
 <li>
 Keep up as models, tools and providers change, and choose pragmatically on quality, cost and latency rather than habit.
 </li>
 <li>
 Share what you learn with engineers around you through code, examples and conversation.
 </li>
 <li>
 Work with product managers, product owners and subject matter experts to understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement.
 
 
 </li>
 </ul>
 
 Systems, Tools and Technology
 
 
 
 <ul>
 <li>
 C# .NET (primary development language)
 </li>
 <li>
 Large language model APIs across multiple providers
 </li>
 <li>
 AI coding tools: GitHub Copilot, Cursor or equivalents
 </li>
 <li>
 Prompt engineering and context design patterns
 </li>
 <li>
 Retrieval-augmented generation (RAG), vector search, embeddings (desirable)
 </li>
 <li>
 Evaluation frameworks and automated quality pipelines for AI outputs
 
 
 </li>
 </ul>
 
 Technical and Professional Expertise
 
 
 
 <ul>
 <li>
 Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely.
 </li>
 <li>
 Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials.
 </li>
 <li>
 A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters.
 </li>
 <li>
 Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality.
 </li>
 <li>
 Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents.
 
 
 </li>
 </ul>
 
 Core Responsibilities And Contributions
 
 
 
 <ul>
 <li>
 Deliver AI features end-to-end: from requirement understanding through to shipped, evaluated product capability.
 </li>
 <li>
 Maintain production-grade quality: error handling, fallbacks, latency management, logging and monitoring &ndash; an AI feature is production software, with extra ways to fail.
 </li>
 <li>
 Care about accuracy, safety and data handling &ndash; customers run their businesses on the answers our software gives them.
 </li>
 <li>
 Leave things better documented than you found them, so the next engineer can pick up your work without an archaeology project.
 </li>
 <li>
 Prototype fast, harden properly, and know the difference between a corner that can be cut and one that cannot.
 
 
 </li>
 </ul>
 
 Customer Experience
 
 
 
 <ul>
 <li>
 Ensure AI features deliver accurate, trustworthy answers &ndash; a confidently wrong price, part match or stock answer is worse than no answer at all.
 </li>
 <li>
 Understand the business problem behind each feature, not just the technical solution.
 </li>
 <li>
 Work with product managers and subject matter experts to ensure AI capability genuinely serves customer needs.
 
 
 </li>
 </ul>
 
 Key Outcomes and Activities
 
 
 
 <ul>
 <li>
 AI capability shipped into at least one established product with evaluation behind it within the first six months.
 </li>
 <li>
 Something built has gone from idea to customers in weeks, and held up in production.
 </li>
 <li>
 Evaluation results have changed at least one decision, including, ideally, killing something that was not good enough to ship.
 </li>
 <li>
 Engineers around you have picked up techniques from your work, even though teaching is not your primary job.
 </li>
 <li>
 You can explain the business problem behind each feature you have built, not just the technical solution.
 
 
 </li>
 </ul>
 
 People, Collaboration &amp; Culture
 
 
 
 <ul>
 <li>
 Bias to action &ndash; would rather build the small version today and learn from it than plan the big version for a month.
 </li>
 <li>
 Honest about quality &ndash; measures, shows working, and does not ship something they would not stand behind.
 </li>
 <li>
 Respectful of existing code and the engineers who maintain it &ndash; established systems are established for a reason, and working well within them is a skill you are proud of.
 </li>
 <li>
 Curious about the trades Klipboard's customers work in, because domain detail is where the good prompts come from.
 </li>
 <li>
 Comfortable with change &ndash; the tools will look different in six months, and that suits you fine.
 
 
 </li>
 </ul>
 
 Additional Responsibilities (as Aligned To Company Job Architecture)
 
 
 
 <ul>
 <li>
 Leave documentation in better shape than you found it so the next engineer can pick up your work without needing to ask.
 </li>
 <li>
 Contribute to shared knowledge and engineering standards as the team's AI practice matures.
 
 
 </li>
 </ul>
 
 Key Relationships (Internal and external)
 
 
 
 Internal
 
 
 <ul>
 <li>
 Product managers and product owners (requirement understanding and feature scoping)
 </li>
 <li>
 Engineering teams who own the established codebases you build into
 </li>
 <li>
 Subject matter experts in Klipboard's product verticals (distributive trades, rental, automotive)
 </li>
 <li>
 Senior Applied AI Engineer and R&amp;D engineering leadership
 
 
 </li>
 </ul>
 External
 
 
 <ul>
 <li>
 LLM platform and tooling providers (as needed)
 
 
 </li>
 </ul>
 
 Required Qualifications And Experience
 
 
 
 <ul>
 <li>
 Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely.
 </li>
 <li>
 Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials.
 </li>
 <li>
 A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters.
 </li>
 <li>
 Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality.
 </li>
 <li>
 Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents.
 
 
 </li>
 </ul>
 
 Preferred Qualifications And Experience
 
 
 
 <ul>
 <li>
 Retrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings.
 </li>
 <li>
 Experience with LLM APIs across more than one provider, with a feel for their trade-offs.
 </li>
 <li>
 Exposure to any of Klipboard's sectors: distributive trades, rental, retail, automotive aftermarket parts or garage management.
 </li>
 <li>
 Experience modernising or extending long-lived systems, in .NET or elsewhere.
 </li>
 <li>
 Familiarity with evaluation frameworks, test datasets or automated quality pipelines for AI outputs.
 </li>
 <li>
 Klipboard is embracing AI at pace across our products and ways of working. We&rsquo;re looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes, and who are open to learning and adapting as this space evolves.
 
 
 </li>
 </ul>
 
 What Success In This Role Looks Like
 
 
 
 <ul>
 <li>
 AI capability shipped into at least one established product, with evaluation behind it, and the team that owns that codebase is happy to have you back.
 </li>
 <li>
 Something you built has gone from idea to customers in weeks, and held up in production.
 </li>
 <li>
 Your evaluation results have changed at least one decision, including, ideally, killing something that was not good enough to ship.
 </li>
 <li>
 Engineers around you have picked up techniques from your work, even though teaching is not your primary job.
 </li>
 <li>
 You can explain the business problem behind each feature you have built, not just the technical solution.
 
 
 </li>
 </ul>
 
 Company Info
 
 
 
 You may also have seen from our recent posts that we are excited to begin sharing our new company name &ndash; Klipboard. Kerridge Commercial Systems (KCS) is becoming Klipboard and our new brand is designed to bring together our expertise across distribution, automotive, retail, rental, transport management, manufacturing, and field service management. We have offices based across the world and we are looking for talented individuals to join our growing teams. Due to our growth over the last few years it is an exciting time to join us as we enter our next chapter! At Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work."
 
 
 
 Equal Opportunities
 
 
 
 As a global company, we value and respect the diversity of our workforce, aiming to empower everyone to embrace each other's differences. We are committed to creating an inclusive workplace where diversity, equity, and inclusion are integral to our company and culture. We recognize the benefits of a diverse workforce, where creativity and valuing differences enable us all to thrive and sparks innovation.
 
 
 If you require any help, adjustments and/or support during the interview and offer process then please advise our TA or HR team.
 
 
 Research shows that women and other underrepresented groups are less likely to apply for a role unless they meet every listed requirement. However, we recognise that skills and experience come in many forms, and we encourage you to apply even if you don&rsquo;t meet every criterion. If you are passionate about this role and believe you have the right mindset and transferrable skills, we would love to hear from you!
 
 
 To all recruitment agencies: Klipboard does not accept agency speculative resumes. At present we only accept CV&rsquo;s from Agencies on our PSL who have been assigned specific position/s. Please do not forward resumes to our careers site or direct to Klipboard employee as this does not constitute an introduction and Klipboard retrospectively will not be liable for any candidate ownership or fees related to unsolicited resumes.
 
 
</div>

Applied AI Engineer (.NET/C#)

NAVAIR

<div><div><h3 class="jobSectionHeader">Position Description</h3>
You will serve as an ELECTRICAL ENGINEER in the RESEARCH &amp; DEVELOPMENT GROUP, SPECTRUM WARFARE DEPT, ELECT ATTACK SYS DIV, RECEIVER SYS BR of NAVAIRWARCENWPNDIV CHINA LAKE.
<h3 class="jobSectionHeader">Position Duties/Responsibilities</h3>
<ul><li>You will provides engineering support for Electronic Attack (EA) Science and Technology programs and the integration of electronic attack capabilities for NAVAIR platforms.</li>
<li>You will assist in the coordination of technical research for the Joint Tasking Research Group.</li>
<li>You will serve as a primary interface with external agencies, academic institutions, and other military branches on collaborative projects, including planned research initiatives in quantum information processing.</li>
<li>You will develop AI software, real-time FPGA programming, signal processing, and simulation development.</li>
</ul><h3 class="jobSectionHeader">Minimum Salary</h3>
104349
<h3 class="jobSectionHeader">Maximum Salary</h3>
161313</div></div>
 <div><div><div>Position Open Date08/31/2026
</div><div>Position Close Date09/02/2026</div></div></div>

ELECTRICAL ENGINEER

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