ai software engineer

<div>
 
 Your IT Future, Delivered.
 
 
 
 
 AI Software Engineer (Python, GenAI)
 
 
 
 With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.
 
 
 
 Digitalization. Simply delivered.
 
 
 
 At IT Services, we are passionate about technology. Our team is continuously expanding. No matter your level of Architecture proficiency, you can always grow within our diverse environment.
 
 
 #DHL #DHLITServices #GreatPlace
 
 
 
 Grow together.
 
 
 
 The role of an AI Engineer is the pathfinder for the Engineering team. AI Engineers need to be able to understand the challenges on the ground and find solution to improve efficiency in delivering solutions for faster time to market. AI Engineer is proficient in leveraging available AI tools in applying real world use cases for better productivity.
 
 
 
 Ready to embark on the journey? Here&rsquo;s what we are looking for:
 
 
 
 As an AI Engineer, having Python experience, Prompt Engineering and Generative AI models, and AI use cases application is required. Also, knowledge of AI workflow tools such as LangChain and n8n will be a huge plus to help our company improve our business and IT processes with better efficiency, breaking down tasks to use the right learning models, while grounding results via &ldquo;context engineering&rdquo; using RAG and MCP protocols to ensure only relevant and good quality results are produced.
 
 
 Aside from that, you should be able to work independently prioritize and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful.
 
 
 
 Ready to embark on the journey? Here&rsquo;s what we are looking for:
 
 
 
 As a Software Engineer, having Python experience, Prompt Engineering and Generative AI models, use cases knowledge is a huge plus. Very good knowledge of Software Development Methodologies and DevSecOps process and tools and Java &amp; Node.js programming language will also be an integral part of this role.
 
 
 You are a GenAI aficionado, therefore you have a good understanding of version control systems (e.g., Git) and project management tools, analytical and soft skills. You are able to work independently prioritize and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful.
 
 
 
 An array of benefits for you:
 
 
 
 
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 Hybrid work arrangements to balance in-office collaboration and home flexibility.
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 Annual Leave: 42 days off apart from Public / National Holidays.
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 Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease.
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 In House training programs: professional and technical training certifications.
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</div>

AI Software Engineer

Rapyd

You ll turn AI ideas into production-grade APIs and microservices, then iterate based on real data and feedback.You ll work at the edge of what s possible with LLMs, RAG pipelines, and vector-based retrieval. The mission: wire up smart systems that automate workflows, elevate productivity, and make AI feel less like magic and more like reliable infrastructure.Get the tools to grow globally at www.rapyd.net. Follow: Blog, Insta, LinkedIn, TwitterIn this role you ll:Design, build, and scale backend services and RESTful APIs that power AI features.Train, deploy, and maintain ML models especially in NLP and deep learning contexts.Stand up and iterate on LLM-driven apps, including RAG pipelines and vector-store retrieval.Own end-to-end delivery: prototyping, evaluation, deployment, monitoring, and iteration.Define clear KPIs, run experiments, and optimize based on what the data says.Collaborate with product, data, and engineering to turn ideas into shippable systems.Stay current on the LLM ecosystem and quickly put new tools and methods to work.RequirementsWhat you ll need:4+ years of professional software development experience with a strong backend focusProven track record building and deploying AI/ML models (NLP/deep learning)Hands-on expertise with RESTful APIs and microservices architecturePractical experience with : LLMs, RAG pipelines, or vector-store based retrievalExcellent communication, a bias for action, and comfort working in fast-moving teamsBonus points forSolid grounding in data-science fundamentals (statistics, preprocessing, feature engineering)Experience integrating generative models with external knowledge via RAGProficiency with embeddings and vector databases (e.g., FAISS, Pinecone)Working knowledge of LLM workflows: prompt engineering, inference, fine-tuning, and evaluationFamiliarity with Agile practices and a habit of staying on top of the latest AI research and tools

Glow Beauty On Demand

Position Overview Glow Beauty On Demand is looking for a Senior Consultant AI Software Engineer to join its technology and innovation team in Dubai. This role supports the Financial Accounting and Advisory Services (FAAS) function, focusing on AI engineering, generative AI, and scalable machine learning solutions. The position involves building and operationalizing AI-driven applications, integrating large language models, and delivering solutions that create measurable business value. Job Details Location: UAE Location: Dubai Industry: Information Technology (IT) Function: Software Engineering / Development Gender: Any Candidate Nationality: Any Job Type: Full-time Core Duties * Design, build, and operationalize AI solutions using MLOps pipelines and cloud-native platforms (Azure, AWS, GCP). * Develop and fine-tune large language models (LLMs) and implement generative AI use cases such as chatbots, document summarization, and intelligent assistants. * Collaborate with data scientists, engineers, and business leaders to align AI solutions with strategic objectives. * Support FAAS client engagements through advisory services, compliance with regulatory standards, and service delivery frameworks. * Contribute to the development of AI-driven strategies and assist in go-to-market initiatives. * Evaluate emerging AI technologies, frameworks, and tools to strengthen business offerings. * Supervise projects, ensuring high-quality, timely, and cost-effective delivery. * Provide mentorship to junior team members and contribute to knowledge sharing. Ideal Profile * Bachelor s degree in Computer Science, Engineering, or related field. * 3 4 years of experience in AI and ML development, with at least 2 years in a global consulting firm. * Strong programming skills in Python and experience with TensorFlow, PyTorch, HuggingFace, and LangChain. * Hands-on experience in building and deploying AI solutions in production environments. * Proficiency in MLOps, AI solution architecture, and automation of workflows. * Knowledge of data privacy, responsible AI, and ethical AI principles. * Domain experience in one or more sectors: government, healthcare, finance, telecom, or retail. * Flexibility to travel across the MENA region as required. * Professional certifications such as CFA, MBA, or Certified Investor Relations Officer are an advantage. * Proficiency in Arabic preferred. Why Join Us * Work on advanced AI projects that transform business processes and decision-making. * Gain exposure to global consulting practices and cutting-edge technologies. * Competitive salary with performance-based rewards. * Opportunity to mentor and develop future AI talent. * Be part of an innovative, diverse, and inclusive workplace in Dubai.

Senior Consultant AI Software Engineer (FAAS)

Ursa Space Systems

<div>AI Software Engineer (Early Career) 
About Ursa Space Systems
Ursa Space Systems is building ground-breaking solutions to deliver global intelligence to organizations worldwide. Through our network of satellite based Synthetic Aperture Radar (SAR) sensors, in combination with Electro-Optical (EO), Radio Frequency sensors (RF), and various third-party data sources Ursa Space detects real-time changes in the physical world. In combination with our team&rsquo;s geospatial experience and strong custom services, we enable organizations to access and extract information from satellite imagery and analytic results with no geographic, political, or weather-related limitations. 
Job Summary
Ursa is looking for skilled software engineers to join our growing team! We are building ground-breaking solutions to deliver global economic intelligence to organizations around the world. There is a lot of cross-pollination here at Ursa Space. You will have the opportunity to work with a diverse team of highly-skilled developers, working on a variety of projects. The ideal candidate will bring experience in developing and deploying data-driven web service technologies in support of both internal systems and customer-facing applications. Experience with generative AI, natural language processing, and other machine learning models is a major plus.
This position will report to the Director of the Rapid Development and Testing Team. This position is fully remote, or optionally in-person at our headquarters in Ithaca, NY. 
Responsibilities<ul><li>
Contribute to an agile development team building high-performance services, APIs, and UIs to support production and distribution of the Ursa product line</li><li>
Focus on projects that utilize satellite data, synthetic aperture radar (SAR), or other relevant geospatial technologies</li><li>
Research how LLMs can be applied to space-related data, improving automation, efficiency, and insight extraction from complex data sources</li><li>
Take initiative in growing skills related to signal processing, machine learning, LLMs, and data analysis through mentorship and collaboration with the team</li><li>
Stay up-to-date with new software development technologies and tools</li><li>
Work closely with software engineers to develop and enhance data processing pipelines, enabling efficient ingestion, transformation, and distribution of geospatial data</li><li>
Work with the Software Team to plan, groom, estimate, implement, and test features in an iterative manner</li><li>
Design and implement efficient, modular, well-documented and well-tested code</li><li>
Document and communicate technical work, findings, and progress regularly to supervisors and teammates</li><li>
Present technical information clearly to team members</li><li>
Participate in design discussions and code reviews, digesting and incorporating constructive criticism</li><li>
Perform all other duties as assigned</li></ul> 
Requirements<ul><li>
B.S. in Computer Science, or other engineering discipline in which software development is a focus</li><li>
2-3 years of relevant experience (internships or academic projects acceptable)</li><li>
Python programming skills, with experience in APIs and web services. Knowledge of DSPy, Claude Agent SDK, and Model Context Protocol is a major plus.</li><li>
Strong communication skills</li><li>
Curiosity and a desire to learn about technical subjects</li><li>
Organized and self motivated, able to successfully work with a remote team</li><li>
A creative, intuitive, and flexible mindset to approach complex problems and build innovative solutions.</li><li>
A fast, reliable internet connection if you are working remotely is a must</li></ul><div>
Kindly note: completion of a coding assessment is a prerequisite for this role. Failure to pass the assessment will result in the discontinuation of your application.</div> 
Preferred Skills<ul><li>
Experience in Java and/or object-oriented software development</li><li>
Strong interest in satellite-based sensing technologies, and the application of Large Language Models (LLMs) to real-world problems.</li><li>
Experience with software organizational tools and frameworks(e.g. Git, Docker, Anaconda, virtual environments, etc.)</li><li>
Familiarity with AWS S3, Linux environments, and EC2 instance development</li><li>
SpatioTemporal Asset Catalog (STAC) understanding and experience</li><li>
Experience in GIS tools and libraries</li><li>
During the technical interview, be prepared to talk about or demo an existing project that demonstrates an entry-level understanding of programming languages, particularly Python, and the integration of web services/APIs</li></ul><h3 class="jobSectionHeader">
Location</h3><ul><li>
Hybrid or Remote. Required attendance at mandatory Ursa meetings at Headquarters in Ithaca, NY when necessary (typically 2&ndash;3 times per year).</li></ul><h3 class="jobSectionHeader">
Compensation</h3><ul><li>
$80,000 &ndash; $105,000, relative to skills and experience</li></ul>
Benefits and Perks
<ul><li>Competitive Compensation</li>
<li>Discretionary PTO &amp; Flexible Scheduling</li>
<li>Stock Options</li>
<li>401(k) Match</li>
<li>Medical, Dental and Vision Coverage for you and your dependents</li>
<li>FSA &amp; HSA Plans</li>
<li>Employer-paid Life Insurance</li>
<li>Employer-paid LTD and STD for Parental and Family Care</li>
<li>11 Paid Holidays</li>
<li>Employee Resource Groups</li>
<li>Educational Assistance Program</li>
<li>Professional Development Opportunities</li>
<li>And more&hellip;</li>
</ul>
Company Values
<ul><li>Use the team</li>
<li>Figure it out and own it</li>
<li>Aim for elegant simplicity</li>
<li>Empower diversity &amp; inclusivity</li>
<li>Do the right thing</li>
<li>Be scrappy</li>
</ul>
Ursa Space Systems, Inc is an equal opportunity employer and does not discriminate on the basis of any legally protected status or characteristic. Protected veterans and individuals with disabilities are encouraged to apply.
WdKurMy0L1</div>

AI Software Engineer (Early Career)

Atlassian

<div>Overview:

Working at Atlassian
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
To help our teams work together effectively, this role is fully remote but requires you to be located in Turkiye.
Responsibilities:

What you&rsquo;ll do
We are looking for a Principal Engineer experienced in the ML/AI domain to drive the vision, development, and launch of AI-powered products and platforms at Atlassian. You will lead initiatives across two key areas:<ul><li>
AI Foundation - Building scalable AI infrastructure and tools to expedite the development of AI-powered features across Atlassian's product teams.</li><li>
NextGen AI - Exploring cutting-edge AI applications (for example, chatbot experiences, generative AI features) to shape the future of our products.</li></ul>
This role requires strong technical leadership, balancing hands-on engineering, strategic decision-making, and cross-functional collaboration to ensure the successful end-to-end delivery of AI solutions.
Joining Atlassian is an opportunity to be at the forefront of industry transformation.
Responsibilities<ul><li>
Define the technical vision and roadmap for AI Foundation and NextGen.</li><li>
End-to-end ownership - from prototyping and development to production.</li><li>
Hands-on work in prompt engineering, model iteration, and training/inference systems.</li><li>
Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact.</li><li>
Facilitate product and technical decisions, ensuring alignment with business goals.</li><li>
Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams.</li><li>
Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption.</li><li>
Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges.</li><li>
Evaluate in-house model development vs. third-party APIs for ML/AI solutions.</li><li>
Establish best practices for AI development, quality measurement, monitoring, and scalability.</li></ul>
Qualifications:

Must-Have:<ul><li>
7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML.</li><li>
Proven track record of tech-leading AI/ML products from conception to launch.</li><li>
Strong platform mindset - experience building reusable tools/infras to accelerate AI development.</li><li>
Strong programming skills in any OOO programming language - we&rsquo;re open to candidates from different tech backgrounds.</li><li>
Excellent communication and collaboration skills.</li></ul>
Nice-to-Have:<ul><li>
PhD or MS in a relevant field.</li><li>
Background in ML modeling (training/fine-tuning ML models).</li><li>
Experience with chatbots, generative AI, or LLM-powered applications.</li></ul> 
#LI-Remote
Benefits &amp; Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.</div>

Principal ML/AI Software Engineer

MESI Group

About the RoleWe&rsquo;re building multiple AI products and will tackle them one by one. You&rsquo;ll be our go-to engineer across the stack&mdash;owning features end-to-end from data to deployment. If you&rsquo;re equally comfortable training models in Python and shipping production web apps with Node.js/React, we&rsquo;d love to meet you.Position Title: AI Software Engineer (Python/ML + Node.js/React)Location: On-Site &ndash; Garden Town, LahoreType: Contractual &ndash; 6 months (3 working days a week)Start: ASAPResponsibilities:&#9679; Build AI features: prototype and productionize models (LLMs/classical ML) in Python.&#9679; Own services end-to-end: design APIs in Node.js, integrate ML services, and ship polished React UIs.&#9679; Data &amp; MLOps: create data pipelines, evaluate models, and set up reproducible training/inference.&#9679; Ship iteratively: break big problems into milestones; deliver measurable progress weekly.&#9679; Cloud &amp; infra: deploy to AWS/GCP/Azure (or similar), containerize with Docker, manage CI/CD.&#9679; Quality: write tests, monitor performance, and handle logs/alerts.&#9679; Collaboration: work closely with the founder/PM; document decisions and maintain clean repos.Tech You&rsquo;ll Use:&#9679; Core: Python (pydantic, FastAPI/Flask), scikit-learn, PyTorch or TensorFlow; JavaScript/TypeScript, Node.js (Express/Fastify), React + modern tooling.&#9679; AI/LLM: OpenAI/Anthropic or open-source LLMs, vector DBs (Pinecone/FAISS), embeddings/retrieval, prompt engineering, evaluation frameworks.&#9679; Data/MLOps: Pandas, NumPy, Airflow/Prefect, MLflow/W&amp;B, Docker, GitHub Actions.&#9679; Cloud/DB: AWS/GCP/Azure, PostgreSQL, Redis; basics of networking, auth, and security.Requirements - Must-Haves:&#9679; 3+ years building production software (or equivalent portfolio).&#9679; Hands-on Python ML and full-stack JS (Node.js + React) experience.&#9679; Proven ability to deliver end-to-end features&mdash;planning, building, testing, deploying.&#9679; Comfortable working at least 6 hours per day with consistent availability.&#9679; Strong Git practices, clean code, and documentation.&#9679; Clear communication and ownership mindset.Requirements - Nice-to-Haves:&#9679; Experience with LLM apps (RAG, function calling, agents, fine-tuning/LoRA).&#9679; UX sensibility (component libraries, responsive design).&#9679; Basic DevOps/SRE (observability, cost/perf tuning).&#9679; Start-up or freelance background delivering under tight timelines.What We Offer:&#9679; Competitive monthly compensation (DOE).&#9679; Opportunity to lead greenfield AI projects and shape product direction.&#9679; Fast feedback loops, minimal bureaucracy, real impact.Job Type: Contract Contract length: 6 monthsApplication Question(s):<ul><li>Current Salary?</li><li>Expected Salary?</li><li>Links to 2&ndash;3 relevant projects (GitHub, demos, or case studies)</li><li>When can you join?</li></ul>Work Location: In person

AI Software Engineer (Python/ML + Node.js/React)

GE Aerospace

<div><h1 class="jobSectionHeader">Job Description Summary</h1>
This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development. You&rsquo;ll play a key role in defining, developing, and evolving software in an agile environment. You&rsquo;ll work across the stack, from crafting intuitive front-end interfaces to building robust back-end services, all while collaborating with a team of talented engineers. You will also have the opportunity to research and apply AI-driven solutions to enhance product functionality and user experience, making a direct impact on the future of flight.<h1 class="jobSectionHeader">
Job Description</h1>
Key Responsibilities:<ul><li>
Design, build, and maintain agentic workflows and autonomous systems</li><li>
Develop and integrate AI models into production-grade applications</li><li>
Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions</li><li>
Implement orchestration logic for multi-agent systems and task automation</li><li>
Write clean, scalable, and maintainable code in support of AI initiatives</li><li>
Monitor and optimize the performance of AI systems in production</li><li>
Stay current with advancements in AI, LLMs, and agentic architectures</li></ul>
Minimum Required Qualifications:<ul><li>
Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math) with advanced experience and a minimum of 3 years in AI/ML engineering experience.</li><li>
OR a high school diploma / GED with a minimum of 7 years in AI/ML engineering experience</li><li>
GE Aerospace will not sponsor individuals for employment visas, now or in the future, for this job opening.</li></ul>
Preferred Skills and Qualifications:<ul><li>
Provide a valid LinkedIn profile.</li><li>
This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development.</li><li>
Proven experience as a Full Stack Engineer with AI/ML background</li><li>
The work involves using AWS tools to design and build AI-driven systems &mdash; not just training or fine-tuning models, but also crafting effective prompts, validating model performance through data analysis, and managing risks like hallucinations or bias.</li><li>
The role requires building prototype-level data pipelines that move data to and from models for training, evaluation, and review.</li><li>
Strong software development skills with proficiency in Python, JupyterHub, GitHub, Visual Studio, etc.</li><li>
Exposure to designing and building agentic workflows or multi-agent systems.</li><li>
Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)</li><li>
Solid understanding of AI/ML concepts, including LLMs and prompt engineering</li><li>
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker, Kubernetes) and in solution architecture.</li><li>
Ability to navigate ambiguous/complex challenges.</li><li>
Experience applying AI/ML techniques to solve real-world problems.</li><li>
Ability to interact with customers, understand their needs, and provide technical support.</li></ul>
Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. 
General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a &ldquo;Sponsor&rdquo;). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor&rsquo;s welfare benefit plan or program. This document does not create a contract of employment with any individual.
This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).<h1 class="jobSectionHeader">
Additional Information</h1><div><div><div><div><div><div><div>
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</div></div></div></div></div></div></div><div><div><div><div><div><div><div>
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</div></div></div></div></div></div></div><div><div><div><div><div><div><div>Relocation Assistance Provided: No</div></div></div></div></div></div></div>
#LI-Remote - This is a remote position</div>

AI/ML Software Engineer

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