ai software engineer

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our software.
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 About the role:
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 Are you passionate about AI and interested in shaping the future of interactive and generative technology? We are seeking a talented AI Software Engineer to join our team and contribute to the development of cutting-edge copilot and agent services using Large Language Models (LLMs). Our aim is to create copilots that provide intelligent, conversational experiences and agents that will redefine how our users interact with our software.
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 If you're excited about working with the latest advancements in Generative AI and delivering top-notch services in a fast-paced environment, we'd love for you to apply.
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 What you&rsquo;ll be doing:
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 As an AI Software Engineer, you will design, build, and maintain copilot and agent solutions powered by LLM technology. Your responsibilities include:
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   Assessing the current capabilities of agent services in the Siemens DI ecosystem for our adoption
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   Collaborating with company-wide cross-functional teams to reflect our team&rsquo;s requirements and help extending central services features when necessary, using the contribution model.
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   Collaborating with product teams for their adoption of agent frameworks; support integration of UI, help setting up product specific agents, ensure high quality by keeping up with the latest AI model capabilities.
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   Ensuring the copilots and agents are scalable and maintain high performance
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   Helping the transition of the organization towards AI-assisted products by training and upskilling product teams.
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   Writing clean, testable code and engaging in peer code reviews to maintain high standards of software quality.
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   Assessing service performance, troubleshooting issues, and deploying fixes to ensure seamless user experiences.
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   Staying current with industry trends in agent development and LLM advancements, applying this knowledge to improve our service offerings.
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 What you&rsquo;ll bring:
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 <ul>
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   Master&rsquo;s Degree in Computer Science, AI, or a related technical field, with relevant experience in copilot/agent development.
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   Solid understanding of and experience with LLM frameworks and conversational AI technologies.
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   Proficient in programming languages relevant to AI and copilot/agent development, such as Python.
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   Experience with multi-team, collaborative software development including source control and collaborative design and code reviews
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   Experience working with cloud platforms (AWS, Azure) and their AI-related services and tools is a plus.
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   Experience in deploying and maintaining applications in a 24x7 production environment, including handling scalability and security considerations is beneficial.
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   A proactive approach to problem-solving, a keen eye for optimization, and a passion for learning and implementing emerging technologies.
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   Excellent collaborative skills for working in a highly interdisciplinary subject.
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  </li>
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 If you're excited by the prospect of developing AI-driven solutions that resonate with users and create compelling interactions, we encourage you to apply. If you don't have every qualification mentioned but believe you can bring value to our team, we're eager to know more about your unique perspectives and experiences. Join us and help build AI services that redefine the standard for AI-human interaction.
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 We are Siemens:
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 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us Transform the everyday!
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 We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
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 Siemens is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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 If you believe in technology with purpose and are interested in learning more about Siemens Digital Industries Software before you apply then check out our Mission / Vision and our software portfolio, meet the team and join our Talent Community today so that we can stay connected in the areas that interest you: www.siemens.com/careers/transformtheeveryday/
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 #DISWSIM
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</div>


AI Software Engineer

Commencis

<div><div><div><p>At Commencis, we are seeking an <b>AI Software Engineer</b> to join our team. As part of our AI Lab ecosystem, you will design and build production-grade LLM applications and agentic systems, working on real-world enterprise problems. You will take part in the full lifecycle of AI systems, from data and model development to deployment, evaluation, and optimization.</p>
</div>
<div><p><b>If you are curious by nature, adaptive, collaborative, and always one step ahead, then join us and be a Commencer!</b></p>
</div>
</div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div>
<div>
<ul><li><p>Collaborate with product and software teams to integrate AI solutions and forward-deploy production-grade systems into enterprise applications</p>
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</ul></div><div><ul><li><p>Drive proof-of-concept initiatives and publish insights on emerging techniques</p>
</li>
</ul></div><div><ul><li><p>Orchestrate LLM-based agentic systems</p>
</li>
</ul></div><div><ul><li><p>Contribute in full-cycle AI development, from data pipelines and model training to deployment and monitoring</p>
</li>
</ul></div><div><ul><li><p>Design, build, and optimize production-grade machine learning models</p>
</li>
</ul></div><div><ul><li><p>Implement robust MLOps practices using Kubernetes, MLflow, and cloud services (AWS, Azure, GCP)</p>
</li>
</ul></div><div><ul><li><p>Advocate for ethical AI principles, ensuring fairness, transparency, and security</p>
</li>
</ul></div></div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div>
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<ul><li><p>BSc/MSc/PhD in Computer Science or related field</p>
</li>
</ul></div><div><ul><li><p>Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and transformer-based architectures</p>
</li>
</ul></div><div><ul><li><p>Proven experience in fine-tuning generative models (e.g. open-source LLMs, diffusion models)</p>
</li>
</ul></div><div><ul><li><p>Experience deploying AI solutions using containerization (Docker, Kubernetes) and CI/CD pipelines.</p>
</li>
</ul></div><div><ul><li><p>Proficiency in at least one agentic orchestration framework for building LLM-based systems</p>
</li>
</ul></div><div><ul><li><p>Comfortable working in AI-first development environments, leveraging agentic tools (e.g., Claude Code, Codex) to plan, build, and iterate faster.</p>
</li>
</ul></div></div><h3 class="jobSectionHeader"><b>Nice to Have</b></h3><div>
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<ul><li><p>Contributions to open-source AI projects</p>
</li>
</ul></div><div><ul><li><p>Expertise in LLM evaluation, and performance-cost optimization</p>
</li>
</ul></div><div><ul><li><p>Experience with advanced AI domains (graph neural networks, reinforcement learning)</p>
</li>
</ul></div><div><ul><li><p>Active engagement in AI communities (Kaggle, Huggingface).</p>
</li>
</ul></div><div><ul><li><p>Experience with agentic orchestration frameworks such as LangGraph, Google ADK, or similar tools</p>
</li>
</ul></div></div><div><div><b>Why Commencis?</b></div>
<div></div>
<div>We want people to thrive at Commencis. Here&rsquo;s what Commencers like about working here:</div>
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<div>Competitive Compensation &amp; Benefits: We offer a competitive salary, private health insurance, pension and retirement plans through a company-backed pension system, meal card, commute compensation, work-from home support and paid birthday off.</div>
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<div>Happier Weekdays: We offer flexible working hours including remote working option. Online events, guest speakers, refreshments in the office, meeting-light culture, and many more to enjoy the weekdays.</div>
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<div>Never Stop Learning: We support learning and development programs for almost anything. Additionally, we provide access to leading online e-learning platforms like Udemy and various libraries.</div>
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<div>Community &amp; Socials: We are a tight-knit community that loves gathering. Our social activities include happy hours, workshops, new year party, breakfast &amp; lunch get-togethers, movie nights, and our Summer Festival.</div>
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<div>Open Culture: We maintain a flat organizational structure with a culture of direct and open communication. We value Commencers&rsquo; voices and address any suggestions and questions you may have.</div>
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<div><b>About Commencis</b></div>
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<div>Join us in paving the way for a thriving digital society!</div>
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<div>Commencis has more than two decades of expertise in the world of experience design, software engineering and cloud technologies. Our products and solutions are used by leading brands in financial services, insurance, airlines and retail in more than 20 countries.</div>
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<div>We help our clients around the globe to commence their next evolution and pave the way for a thriving digital society. We love discovering what&rsquo;s next. We value collaboration, curiosity, and an open mindset at work.</div>
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<div>If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!</div>
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<div>We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices.</div>
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<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Healthcare Revenue Solutions

<p><b>JUNIOR AI SOFTWARE ENGINEER</b></p><p>Agentic AI Solutions &amp; Secure Healthcare Data Systems</p><p><b>ABOUT THE COMPANY</b></p><p>ERISA Recovery is a fast-moving, high-tech company specializing in healthcare billing services for hospitals, clinics, and provider organizations. Our platform processes and safeguards large volumes of Protected Health Information (PHI) in strict compliance with HIPAA and applicable federal and state regulations. We operate at the intersection of cutting-edge AI and mission-critical healthcare infrastructure &mdash; where the stakes are high, the problems are hard, and the work genuinely matters.</p><p><b>THE OPPORTUNITY</b></p><p>This is an exceptional entry point for an early-career engineer who wants to grow fast inside a real-world AI environment. You will join a senior engineering team building agentic AI solutions across our on-premises infrastructure and AWS Bedrock, learning from experienced practitioners while making meaningful contributions from day one.</p><p>We believe in learning by doing. You will be paired with a senior mentor, take on scoped tasks with clear ownership, and steadily expand your responsibilities as your skills develop. If you are curious, security-conscious, and excited about the frontier of applied AI &mdash; we want to hear from you.</p><p><b>KEY RESPONSIBILITIES</b></p><ul><li>Assist in the development and testing of agentic AI pipelines, including prompt engineering, tool-use patterns, and multi-step workflow components under senior guidance.</li><li>Write clean, well-documented Python code for AI integrations, data preprocessing pipelines, and internal tooling.</li><li>Support the integration of AWS Bedrock models and on-premises LLMs into existing systems.</li><li>Build and maintain unit tests, integration tests, and evaluation harnesses to ensure AI component quality and reliability.</li><li>Assist with RAG (Retrieval-Augmented Generation) implementations, including document ingestion, chunking strategies, and vector store management.</li><li>Follow and actively learn security best practices &mdash; including data handling policies, access controls, and HIPAA-compliant development workflows.</li><li>Participate in code reviews, sprint planning, and architecture discussions, contributing questions and fresh perspectives.</li><li>Research and summarize emerging AI tools, frameworks, and techniques relevant to our product roadmap.</li><li>Document technical designs, API contracts, and operational runbooks to support team knowledge sharing.</li></ul><p><b>REQUIRED QUALIFICATIONS</b></p><ul><li>Bachelor&rsquo;s degree in computer science, Software Engineering, Data Science, or a related technical field &mdash; OR equivalent demonstrated experience through projects, bootcamps, or open-source contributions.</li><li>Solid Python fundamentals including object-oriented design, working with APIs, and handling data structures.</li><li>Basic familiarity with machine learning or AI concepts &mdash; through coursework, personal projects, or professional exposure.</li><li>Understanding of RESTful API design and experience consuming or building APIs.</li><li>Exposure to version control (Git) and collaborative development workflows.</li><li>Genuine curiosity about large language models and demonstrated interest in the agentic AI space (side projects, coursework, research, or writing all count).</li><li>Strong written and verbal communication skills &mdash; this team writes clear documentation and explains complex ideas simply.</li><li>A security-aware mindset and willingness to take data privacy seriously from day one.</li></ul><p><b>NICE TO HAVE (NOT REQUIRED)</b></p><p>These are genuine bonus points &mdash; not hidden requirements. If you have a few of these, great. If not, we will help you develop them.</p><ul><li>Hands-on experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock, Hugging Face, or similar).</li><li>Familiarity with any AI orchestration framework such as LangChain, LlamaIndex, or AutoGen.</li><li>Exposure to cloud platforms, especially AWS (S3, Lambda, IAM, or EC2 at any level).</li><li>Experience with vector databases or semantic search (Pinecone, Weaviate, FAISS, pgvector).</li><li>Any exposure to HIPAA, healthcare data, or other regulated data environments.</li><li>Coursework or projects involving NLP, information retrieval, or data pipelines.</li><li>Contributions to open-source projects or a GitHub portfolio demonstrating initiative.</li></ul><p><b>HOW YOU WILL GROW</b></p><p>We take junior engineer development seriously. In this role you can expect:</p><ul><li>A dedicated senior mentor for your first 90 days, with structured check-ins and clear growth milestones.</li><li>Increasing ownership of features and components as your confidence and skills build.</li><li>A generous learning and development budget for online courses, certifications (AWS, LLM-focused), and conferences.</li><li>Exposure to the full AI development lifecycle &mdash; from problem scoping and data handling to deployment, monitoring, and iteration.</li><li>A front-row seat to production agentic AI systems handling real healthcare workflows &mdash; experience very few early-career engineers get.</li></ul><p><b>SECURITY &amp; COMPLIANCE EXPECTATIONS</b></p><p>We handle Protected Health Information every day. All team members &mdash; regardless of experience level &mdash; are expected to:</p><ul><li>Complete HIPAA Privacy and Security training before accessing any internal systems or data.</li><li>Pass a thorough background screening process.</li><li>Adhere to data handling policies: no PHI on personal devices, mandatory MFA, and VPN usage at all times.</li><li>Ask questions and speak up when something seems off &mdash; a junior engineer flagging a potential security issue is a hero, not a problem.</li><li>Participate in regular security awareness training and team-level compliance reviews.</li></ul><p><b>WHAT WE OFFER</b></p><ul><li>Competitive salary benchmarked to junior/associate engineer market rates.</li><li>Comprehensive health, dental, and vision benefits effective from day one.</li><li>A mission-driven team where your work improves healthcare operations for real patients.</li><li>Collaborative, low-ego culture where asking questions is encouraged and growth is celebrated.</li><li>Clear career path toward mid-level and senior AI engineering roles as you develop.</li></ul><p><b>HOW TO APPLY</b></p><p>Submit your resume and a short note (300 words or fewer) on one of the following: a project where you used or explored AI/ML, something you built that you are proud of, or a problem in healthcare or data systems that you would love to help solve. We read every application.</p><p>ERISA Recovery is an Equal Opportunity Employer.</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) 4% Match</li><li>Health insurance</li><li>Life insurance</li><li>On-site gym</li><li>Paid holidays</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Work Location: In person</p>

Junior AI Software Engineer

<p><b>AI SENIOR SOFTWARE ENGINEER</b></p><p>Agentic AI Solutions &amp; Secure Healthcare Data Systems</p><p><b>ABOUT US</b></p><p>ERISA Recovery is a fast-moving, high-tech company specializing in healthcare billing services for hospitals, clinics, and provider organizations. Our platform processes and safeguards large volumes of Protected Health Information (PHI) in strict compliance with HIPAA and applicable federal and state regulations. We operate at the intersection of cutting-edge AI and mission-critical healthcare infrastructure &mdash; where the stakes are high, the problems are hard, and the work genuinely matters.</p><p><b>THE OPPORTUNITY</b></p><p>We are looking for an experienced AI Software Engineer to architect, build, and deploy agentic AI solutions that transform how we handle healthcare billing workflows. You will work across our on-premises infrastructure and cloud solutions to design intelligent agents capable of reasoning, planning, and acting autonomously &mdash; all within a security-first environment that keeps PHI safe at every layer.</p><p>This is a high-impact, highly visible role. You will collaborate closely with analyst, compliance, and engineering teams to deliver AI systems that are not just powerful, but trustworthy and auditable.</p><p><b>KEY RESPONSIBILITIES</b></p><ul><li>Design and develop agentic AI pipelines and multi-step reasoning systems using on-prem LLMs and AWS Bedrock models (e.g., Claude, Titan, Llama).</li><li>Build secure, HIPAA-compliant AI workflows that handle PHI with appropriate data minimization, encryption, and access controls.</li><li>Architect hybrid AI infrastructure spanning on-premises GPU/CPU clusters and AWS cloud services, ensuring low-latency and high availability.</li><li>Implement robust retrieval-augmented generation (RAG) systems, tool-use agents, and orchestration layers (e.g., LangChain, LlamaIndex, or custom frameworks).</li><li>Integrate AI agents with existing billing systems, EHR interfaces, and internal APIs through secure, well-documented service contracts.</li><li>Conduct threat modeling and security reviews for all AI components; ensure audit logging, access controls, and data governance policies are enforced.</li><li>Monitor model performance, build evaluation harnesses, and iterate rapidly based on business outcomes and compliance requirements.</li><li>Collaborate with compliance and legal teams to maintain HIPAA Business Associate Agreement (BAA) obligations in all AI deployments.</li><li>Mentor junior engineers and contribute to internal best practices for responsible, secure AI development.</li></ul><p><b>REQUIRED QUALIFICATIONS</b></p><ul><li>5+ years of software engineering experience, with at least 2 years focused on applied ML or AI systems in production environments.</li><li>Hands-on experience building agentic AI systems &mdash; tool-using agents, multi-step planners, or autonomous workflow automation.</li><li>Proficiency in Python and at least one compiled language (Go, Rust, or Java).</li><li>Direct experience with AWS Bedrock, SageMaker, or equivalent managed LLM services.</li><li>Strong understanding of LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar).</li><li>Demonstrated knowledge of data security best practices: encryption at rest and in transit, secrets management, IAM/RBAC, and secure API design.</li><li>Experience working in HIPAA-regulated environments or other highly regulated industries (finance, government).</li><li>Familiarity with RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and embedding pipelines.</li><li>Solid grounding in MLOps &mdash; model versioning, CI/CD for ML, monitoring, and observability.</li></ul><p><b>PREFERRED QUALIFICATIONS</b></p><ul><li>Experience deploying and serving open-source LLMs on-premises (e.g., Llama 3, Mistral, Phi) using vLLM, Ollama, or TGI.</li><li>Familiarity with FHIR, HL7, or healthcare billing standards (CMS-1500, UB-04, ICD-10).</li><li>AWS certifications (Solutions Architect, ML Specialty) or equivalent demonstrated expertise.</li><li>Experience with privacy-preserving AI techniques: differential privacy, federated learning, or confidential computing.</li><li>Knowledge of HITRUST CSF, SOC 2, or NIST 800-53 security frameworks.</li><li>Background in healthcare IT, revenue cycle management (RCM), or health information management (HIM).</li></ul><p><b>SECURITY &amp; COMPLIANCE EXPECTATIONS</b></p><p>Security is not a checkbox &mdash; it is a core engineering discipline in this role. All candidates must be prepared to:</p><ul><li>Complete HIPAA Privacy and Security training prior to data access.</li><li>Pass a thorough background screening process.</li><li>Adhere to strict data handling policies including no-local-storage of PHI on personal devices, mandatory MFA, and VPN usage.</li><li>Participate in regular security audits, penetration testing reviews, and incident response exercises.</li><li>Proactively raise security concerns and contribute to a culture of shared responsibility.</li></ul><p><b>WHAT WE OFFER</b></p><ul><li>Competitive salary and equity participation commensurate with experience.</li><li>Comprehensive health, dental, and vision benefits.</li><li>A mission-driven team where your AI work directly improves healthcare operations for thousands of patients.</li><li>Collaborative, low-ego culture that values depth, craft, and intellectual honesty.</li></ul><p>ERISA Recovery is an Equal Opportunity Employer</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Ability to Commute:</p><ul><li>Plano, TX 75093 (Required)</li></ul><p>Work Location: In person</p>

Senior AI Software Engineer

Honeywell

<div><p>Honeywell is seeking a Sr. Advanced AI Software Engineer to join our team! In this role, you will lead the strategic vision and roadmap while driving performance, reliability, and quality across our software products to support scalable business growth.
</p><p>You will report directly to our Director of Engineering, and you&rsquo;ll work out of our Phoenix, Arizona location on a hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.</p></div>
<br><div><p><b>YOU MUST HAVE
</b></p><ul><li>5+ years of hands-on AI/ML experience in production environments. Proven track record of delivering AI-powered systems at scale. Experience working in cross-functional, fast-paced environments
</li><li>Core AI / Machine Learning
</li><li><b>Deep expertise in </b>: Machine learning fundamentals (supervised, unsupervised, reinforcement learning). Deep learning architectures (CNNs, RNNs, Transformers)
</li><li><b>Hands-on experience with: </b>Large Language Models (LLMs) and generative AI, Prompt engineering, fine-tuning, and RAG pipelines. Embeddings, vector databases, and semantic search.
</li><li><b>Programming &amp; Software Engineering: </b>Strong proficiency in Python (primary AI development language), Experience with at least one additional language (Java, C++).
</li><li><b>Solid understanding of: </b>Data structures, algorithms, and distributed systems, API design, microservices, and backend integration, Ability to write clean, maintainable, production-quality code, AI &amp; ML Frameworks <b>.
</b></li><li><b>Strong experience on one or more cloud platforms: </b>Azure, AWS, <b>Containerization and orchestration: </b>Docker, Kubernetes: <b>CI/CD tools for ML workflows<br>
</b></li></ul><p></p><p><b>WE VALUE
</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, AI, ML, Data Science, or a related field
</li><li>Master&rsquo;s degree (PhD is a Plus) in Computer Science, AI, ML, Data Science, or a related field
</li><li>Multi-agent systems and autonomous agents
</li><li>Edge AI or model compression/quantization
</li><li>AI safety research and explainability techniques
</li><li>Knowledge of: SQL and NoSQL databases
</li><li>Familiarity with vector databases
</li>Publications, patents, or open-source contributions in AI/ML<br>
<li>
</li></ul><p></p><p><b>US PERSON REQUIREMENT
</b></p><p>Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.<br>
</p><p></p><p><br>
<b>BENEFITS OF WORKING FOR HONEYWELL
</b><br>
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.<br>
</p><p></p><p><br>
<b>ABOUT HONEYWELL
</b><br>
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.<br>
</p><p></p><p>The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 4/28/2026</p></div>
<br><div><ul><li>Design, build, and deploy advanced AI/ML systems (including LLMs and generative AI) end to end.
</li><li>Architect scalable, reliable, and cost-efficient AI solutions for production environments.
</li><li>Lead model optimization, evaluation, monitoring, and continuous improvement.
</li><li>Drive MLOps practices for training, deployment, CI/CD, and lifecycle management.
</li><li>Collaborate with product, data, and platform teams to deliver business-aligned AI outcomes.
</li><li>Provide technical leadership through design reviews, mentorship, and AI strategy influence.</li></ul></div>
<br><div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Sr. Advanced AI Software Engineer

Orange Business

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Join us at Orange Business!
 <br/>
 <br/>
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
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 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 <strong>
  About the AI Factory Team
  <br/>
  <br/>
 </strong>
 The
 <strong>
  AI Factory
 </strong>
 team builds intelligent software tools and platforms that empower our business teams &mdash; including
 <strong>
  Marketing, Operations, and Sales
 </strong>
 &mdash; to leverage AI for productivity, automation, and data-driven decision-making.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a
 <strong>
  Software Engineer with strong AI/ML experience
 </strong>
 to join our AI Factory team.
 <br/>
 <br/>
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 <strong>
  Large Language Models
 </strong>
 ,
 <strong>
  Generative AI
 </strong>
 , and
 <strong>
  data pipelines
 </strong>
 .
 <br/>
 <br/>
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
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 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and develop end-to-end AI-powered applications and internal tools for business teams.
  </li>
  <li>
   Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
  </li>
  <li>
   Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
  </li>
  <li>
   Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
  </li>
  <li>
   Deploy, monitor, and maintain applications using Docker and Kubernetes.
  </li>
  <li>
   Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
  </li>
  <li>
   Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
  </li>
  <li>
   Stay updated on the latest trends in AI/ML, Generative AI, and LLM frameworks (LangChain, LlamaIndex, etc.).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of professional experience as a Software Engineer.
  </li>
  <li>
   Strong full-stack development skills:
  </li>
  <ul>
   <li>
    Frontend: React, TypeScript/JavaScript.
   </li>
   <li>
    Backend: Python (FastAPI or Flask).
   </li>
  </ul>
  <li>
   Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
  </li>
  <li>
   Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
  </li>
  <li>
   Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
  </li>
  <li>
   Solid understanding of RESTful APIs, microservices, and system design.
  </li>
  <li>
   Strong problem-solving skills, with a collaborative and pragmatic mindset.
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with LangChain, LlamaIndex, or similar LLM frameworks.
  </li>
  <li>
   Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
  </li>
  <li>
   Exposure to MLOps and AI model lifecycle management.
  </li>
  <li>
   Familiarity with prompt engineering and AI agent frameworks.
  </li>
  <li>
   Experience building internal tools or platforms for cross-functional teams
   <br/>
   <br/>
  </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
  </li>
  <li>
   Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
  </li>
  <li>
   Professional Development: training programs and upskilling/re-skilling opportunities.
  </li>
  <li>
   Career Growth: Internal growth and mobility opportunities within Orange.
  </li>
  <li>
   Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
  </li>
  <li>
   Reward Programs: Employee Referral Program, Change Maker Awards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Only Your Skills Matter
  <br/>
  <br/>
 </strong>
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>


Full Stack AI Software Engineer

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Join us at Orange Business!
 <br/>
 <br/>
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 <br/>
 <br/>
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a
 <strong>
  Full Stack AI Software Engineer with strong AI/ML experience
 </strong>
 to join our AI Factory team.
 <br/>
 <br/>
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 <strong>
  Large Language Models
 </strong>
 ,
 <strong>
  Generative AI
 </strong>
 , and
 <strong>
  data pipelines
 </strong>
 .
 <br/>
 <br/>
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and develop end-to-end AI-powered applications and internal tools for business teams.
  </li>
  <li>
   Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
  </li>
  <li>
   Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
  </li>
  <li>
   Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
  </li>
  <li>
   Deploy, monitor, and maintain applications using Docker and Kubernetes.
  </li>
  <li>
   Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
  </li>
  <li>
   Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
   <br/>
   <br/>
  </li>
 </ul>
 Stay updated on the latest trends in
 <strong>
  AI/ML
 </strong>
 ,
 <strong>
  Generative AI
 </strong>
 , and
 <strong>
  LLM frameworks
 </strong>
 (LangChain, LlamaIndex, etc.)
 <br/>
 <br/>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   7+ years of professional experience as a Software Engineer.
  </li>
  <li>
   Strong leadership skills
  </li>
  <li>
   Strong full-stack development skills:
  </li>
  <li>
   Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
  </li>
  <li>
   Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
  </li>
  <li>
   Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
  </li>
  <li>
   Solid understanding of RESTful APIs, microservices, and system design.
  </li>
  <li>
   Strong problem-solving skills, with a collaborative and pragmatic mindset.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with LangChain, LlamaIndex, or similar LLM frameworks.
  </li>
  <li>
   Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
  </li>
  <li>
   Exposure to MLOps and AI model lifecycle management.
  </li>
  <li>
   Familiarity with prompt engineering and AI agent frameworks.
  </li>
  <li>
   Experience building internal tools or platforms for cross-functional teams.
   <br/>
   <br/>
  </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
  </li>
  <li>
   Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
  </li>
  <li>
   Professional Development: training programs and upskilling/re-skilling opportunities.
  </li>
  <li>
   Career Growth: Internal growth and mobility opportunities within Orange.
  </li>
  <li>
   Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
  </li>
  <li>
   Reward Programs: Employee Referral Program, Change Maker Awards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Only Your Skills Matter
  <br/>
  <br/>
 </strong>
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>


Senior Full Stack AI Software Engineer

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