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ai engineer

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.</p><p><b>
What we are building &mdash; now:</b></p><ul><li><p>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</p></li><li><p>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</p></li><li><p>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</p></li><li><p>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</p></li><li><p>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</p></li><li><p>
AI-enabled situational awareness and crisis management systems</p></li><li><p>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing</p><p>
governance operations the organization requires</p></li></ul><p><b>
How we work:</b></p><ul><li><p>
Small team, high ownership &mdash; every engineer owns a module end-to-end</p></li><li><p>
Two-week sprints with demonstrated output at every review</p></li><li><p>
Ship and improve &mdash; working systems beat perfect designs</p></li><li><p>
Core team owns all architecture and product decisions; external capacity executes within defined scope</p></li><li><p>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</p></li><li><p>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</p></li><li><p>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</p></li></ul>
</div><div><p>Builds the AI capabilities that operations depend on &mdash; classification automation, production agents, and the data bridge to the agentic platform.</p><p><b>
Mission</b></p><p>
Build, own, and continuously improve the AI capabilities across the office's production systems, working under the direction of the Principal AI Engineer. Your scope: automated data classification (remediating what's currently broken), AI-generated briefings, and operational AI agents that deliver real value in weeks.</p><p>
An external partner is building an agentic platform that ATRC will use. Your role in that relationship: define the data contracts the platform consumes, evaluate the sample agents delivered, and build the production agents on top of the platform that go beyond demonstrations into real operational use. You don't build the platform &mdash; you make sure ATRC's data is ready for it and that what gets built on top of it actually works.</p><p><b>
What This Role Owns</b></p><ul><li><p>
Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance</p></li><li><p>
Lead Operational AI agents: building production agents on top of the agentic platform &mdash; going beyond the sample agents the external partner delivers into real operational workflows</p></li><li><p>
Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees &mdash; working with the Principal AI Engineer</p></li><li><p>
AI service implementation: FastAPI service around LLM APIs with versioned prompt templates</p></li><li><p>
Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution</p></li><li><p>
Prompt versioning: templates in configuration, editable without code changes</p></li><li><p>
Observability: every LLM call logged with input hash, model version, output, latency, token count</p></li><li><p>
Fallback logic: graceful degradation when LLM APIs are unavailable</p></li><li><p>
Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts</p></li></ul><p><b>
Key Decisions</b></p><ul><li><p>
Prompt implementation &mdash; few-shot examples, output parsing, error handling</p></li><li><p>
Confidence threshold tuning based on evaluation results</p></li><li><p>
Context window packing &mdash; what data fits within token budgets</p></li><li><p>
Fallback behavior when APIs degrade</p></li><li><p>
Agent evaluation &mdash; whether an external partner's sample agent is production-ready or needs rework</p></li><li><p>
Bug triage for AI components &mdash; autonomous fix vs. escalate to Principal AI Engineer</p></li></ul><p><b>
Does Not Do</b></p><ul><li><p>
Define AI architecture or agent design patterns (Principal AI Engineer)</p></li><li><p>
Build the agentic platform itself (external partner)</p></li><li><p>
Build the backend API or data pipelines</p></li><li><p>
Fine-tune or train models</p></li><li><p>
Define governance policies (Governance Lead)</p></li></ul><p><b>
Ideal Candidate</b></p><p>
Has shipped an LLM-based feature that non-technical users depend on daily &mdash; and has been responsible when it breaks. Knows the hardest part of applied AI is the fallback, the observability, and the human review loop &mdash; not the prompt. Can evaluate someone else's agent demo and quickly identify whether it's production-ready or held together with string. Works well under a senior AI lead &mdash; takes architectural direction and executes with high quality and speed. Not attached to a particular model &mdash; the job is reliable output.</p>
</div><div><ul><li><p>LLM APIs (Claude, GPT-4, open-weight models) &mdash; structured output, JSON mode, system prompts</p></li><li><p>
Prompt engineering for classification &mdash; zero-shot and few-shot</p></li><li><p>
Python &mdash; async API calls, retry logic, exponential backoff</p></li><li><p>
LLM evaluation &mdash; precision/recall, human-AI agreement scoring</p></li><li><p>
Structured output &mdash; JSON schema enforcement, Pydantic validation</p></li><li><p>
Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)</p></li><li><p>
Token budgeting and context window management</p></li><li><p>
AI observability &mdash; output quality monitoring, anomaly detection</p></li><li><p>
FastAPI and Docker</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Python
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

AI Engineer

Good Job Games

<div><p><b>About us</b></p>
<p>
We were founded in 2017 with the motivation to reach people globally by giving them unique and unforgettable experiences with disruptive products. Our games have reached over 3.5 billion people. This could only be done by gathering exceptional talent and creating a culture to enhance team spirit and creativity. We are looking for passionate teammates to join our team!</p>
<p><b>
About the role</b></p>
<p>
The more technology evolves, the more it shapes our lives. We&rsquo;re looking for AI enthusiasts who are passionate about exploring new technologies and creating innovative, effective solutions to improve the way we work.</p>
<p>
If you thrive on a &ldquo;how can we do it better&rdquo; mindset, we&rsquo;d love to have you on our team!</p>
<p><b>
What you&rsquo;ll be doing</b></p>
<ul>
<li>Leading AI research and development for internal product and management solutions (RL agents, segmentation, regression models)</li>
<li>Analyzing big data to extract features, segment, and provide actionable insights for management</li>
<li>Researching, implementing, and experimenting with self-learning agents in diverse RL environments for product development</li>
<li>Following and deploying cutting-edge generational models (including finetuning) for tailored, multi-modal use cases</li>
<li>Being at the forefront of ML/DL research and gaining valuable expertise</li>
</ul>
<p><b>Desired skills and experience</b></p>
<ul>
<li>Bachelor's degree in Computer Science, Mathematics or a related engineering field</li>
<li>Proficiency in Python (TensorFlow or PyTorch)</li>
<li>Interest in Generative AI techniques (Diffusers, LoRAs, GANs, Transformer models, etc.) and a desire to develop in this area</li>
<li>An always-looking-for-better-ways mindset and the ability to understand team needs to proactively generate solutions</li>
<li>Ability to combine technical and business mindsets effectively</li>
<li>Passion for Match Villains and mobile puzzle games in general</li>
</ul>
<p><b>What makes our team so unique</b></p>
<ul>
<li>Feedback and transparency are at the heart of everything we do</li>
<li>Exceptional and passionate people/team members</li>
<li>Every idea counts</li>
<li>Never-ending learning</li>
<li>We never stop asking the questions &ldquo;why&rdquo; and &ldquo;how&rdquo;</li>
</ul>
<p><b>Our Perks</b></p>
<ul>
<li>Team events and trips</li>
<li>Great food</li>
<li>On-site gym</li>
<li>Full health benefits</li>
<li>Compensation for paid military service</li>
<li>Relocation support</li>
<li>Good Job Games Coin Program that lets you have unforgettable experiences (e.g. Going on a cruise trip to Norway or seeing the Northern Lights)</li>
</ul>
<p><b>This is an on-site role in Istanbul, Sarıyer. We do not offer a fully-remote working option.</b></p></div>

Sezzle

<div><p><b>The salary range for this role is $50,000 - $120,000 per year (Gross in USD)</b></p>
<p><b>
About Sezzle:</b></p>
<p>
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We're not just transforming payments; we're redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we're building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you're excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!</p>
<p><b>
About the Role:</b></p>
<p>
We are seeking a talented and motivated<b> Sr. AI engineer </b>who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.</p>
<p>
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.</p>
<p>
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You'll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.</p>
<p><b>
What You'll Do</b><b>:</b></p>
<ul>
<li><b>Design, Build, and Maintain Scalable ML Infrastructure:</b> Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.</li>
<li><b>Collaborate with Product Teams:</b> Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.</li>
<li><b>Develop Monitoring &amp; Alerting Frameworks:</b> Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.</li>
<li><b>Support Cross-Departmental AI Utilization:</b> Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.</li>
<li><b>Provide Production Support:</b> Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.</li>
<li><b>Scale ML Architecture:</b> Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.</li>
<li><b>Mentor and Elevate Team Skills:</b> Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.</li>
<li><b>Stay Ahead of the Curve:</b> Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.</li>
</ul><h3 class="jobSectionHeader"><b>What We Look For:</b></h3>
<ul><li>Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.</li>
<li>At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications:</b></h3>
<ul><li>Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.</li>
<li>Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.</li>
<li>Proficiency with Python is required, and experience with Golang is a plus.</li>
<li>Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.</li>
<li>Experience working with relational databases, data warehouses, and using SQL to explore them.</li>
<li>Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.</li>
<li>Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.</li>
<li>Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.</li>
<li>Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.</li>
</ul>
<p><b>About You:</b></p>
<ul>
<li><b>You have relentlessly high standards</b> - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.</li>
<li><b>You're not bound by convention</b> - your success&mdash;and much of the fun&mdash;lies in developing new ways to do things</li>
<li><b>You need action</b> - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.</li>
<li><b>You earn trust</b> - you listen attentively, speak candidly, and treat others respectfully.</li>
<li><b>You have backbone; disagree, then commit </b>- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.</li>
<li><b>You deliver results </b>- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.</li>
</ul>
<p><b>What Makes Working at Sezzle Awesome:</b></p>
<p>
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.</p>
<p>
#Li-remote #full-time</p></div>

Sr. AI engineer (Remote)

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>
</li>
</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>
<div>
<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>
<div>
<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>
<div></div>
<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>
<div></div>
<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>
<div></div>
<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>
<div></div>
<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>
<div></div>
<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>
<div></div>
<div><b>About Commencis</b></div>
<div></div>
<div>Join us in paving the way for a thriving digital society!</div>
<div></div>
<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>
<div></div>
<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>
<div></div>
<div>If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!</div>
<div></div>
<div>We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices.</div>
</div>
<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>

AI Software Engineer

Optimum7

<div><p><b>AI Systems Engineer/Developer (Claude-First)</b></p>
<p><b>
Location:</b> Remote, TR</p><p></p><p><br>
Optimum7 is a performance-driven B2B eCommerce growth agency. We engineer outcomes for industrial B2B and SaaS brands that want to scale smarter and faster through custom development and creative marketing strategies.</p>
<p>
We&rsquo;re looking for a fast, AI-native <b>AI Systems Engineer / Developer who builds with AI at the core and ships fast.</b></p>
<p>
If you think in systems, build with AI at the core (Claude, ChatGPT), and care about speed, output, and real-world impact, this role is for you.</p><p></p><p><b><br>
What You&rsquo;ll Do</b></p>
<ul>
<li>Design and develop scalable, high-performance backend systems and microservices architectures.</li>
<li>Build and maintain RESTful APIs and GraphQL endpoints for seamless integrations.</li>
<li>Turn ideas into working systems quickly, from concept to production.</li>
<li>Integrate LLMs (Claude, OpenAI) and AI/ML-powered features into real-world applications.</li>
<li>Build AI-driven workflows, agents, and automations to replace manual processes.</li>
<li>Design and optimize database structures (MySQL, PostgreSQL, Redis) and system performance.</li>
<li>Implement caching strategies (Redis, Memcached) and ensure scalability and reliability.</li>
<li>Integrate third-party services and platforms using modern API standards.</li>
<li>Work with cloud infrastructure, containerized environments (Docker, Kubernetes), and CI/CD pipelines.</li>
<li>Troubleshoot and resolve complex system issues with a focus on uptime and performance.</li>
<li>Implement security best practices (OAuth 2.0, JWT, encryption, OWASP standards).</li>
<li>Continuously ship, test, and improve systems in a fast-paced, agile environment.</li>
<li>Collaborate with cross-functional teams while contributing to technical decisions and architecture.</li>
<li>Stay current with emerging technologies and apply them to improve speed and system capability.</li></ul><p><b><br>
</b></p><p><b>What You Bring</b></p>
<ul>
<li>Hands-on experience using AI tools (Claude, ChatGPT, etc.) in real development workflows</li>
<li>Use AI (Claude, ChatGPT, etc.) as your primary development interface</li>
<li>Can take an idea from concept  working system quickly</li>
<li>Think in automation, agents, and scalable architecture</li>
<li>Care about output and speed, not process</li>
<li>Operate with speed as a standard, delivering prototypes in hours, features in days, and systems in weeks, not weeks for features or months for systems.</li></ul><p><b><br>
</b></p><p><b>AI-First Requirement (Non-Negotiable)</b></p>
<p>
 You must already:</p>
<ul>
<li>use Claude Code daily for coding, debugging, and system design</li>
<li>rely on AI to accelerate development and decision-making</li>
</ul>
<p> If AI is not central to your workflow, this role is not a fit for you.</p><p><b><br>
</b></p><p><b>What We Value at Optimum7</b></p>
<ul>
<li>Commitment to Excellence: Precision, efficiency, and delivering top-tier work.</li>
<li>Problem-Solving Orientation: We don&rsquo;t stop at &ldquo;no&rdquo;; we find solutions.</li>
<li>Innovative Mindset: Always thinking bigger and smarter to drive growth.</li>
<li>Team-Centric Attitude: &ldquo;Zero drama&rdquo; culture built on collaboration and trust.</li>
<li>Growth Minded: Continuous learning, feedback, and improvement.</li>
<li>Purpose-Driven: We empower eCommerce and B2B brands to scale through innovation.</li></ul><br>
<p></p>
<p><b>
Why Join Optimum7</b></p>
<ul>
<li>100% remote role</li>
<li>Competitive base salary paid in USD</li>
<li>Growth opportunities within a rapidly expanding company.</li>
<li>Access to an AI-powered tech stack</li>
<li>A culture built on excellence, integrity, and innovation.</li></ul><br>
<p></p>
<p><b>
Ready to Grow with Us?</b></p>
<p><b><i>
If you want to operate at the edge of AI-driven systems, move fast, and build real impact, this is your environment.</i></b></p>
<p><b><i>
Apply with more than just your resume, including GitHub or code samples, examples of AI-driven systems, features, or automations you&rsquo;ve built, the tools used (e.g., Claude, OpenAI), and optionally a Loom walkthrough of your workflow.</i></b></p><p></p><p><b><br>
Learn more:</b></p><p><br>
<br>
www.optimum7.com</p>
<p>
 Follow us on LinkedIn: Optimum7</p></div>

AI Systems Engineer/Developer (Claude-First)

Siemens

<div><p>Siemens Gebze factory is the lead factory for Air Insulated Switchgear production in Siemens World and exporting to more than 80 countries worldwide! We are searching for a &ldquo;<b>AI Integration &amp; Deployment Engineer</b>&rdquo;. You will join an exciting team and develop world-class solutions in a manufacturing facility. A great opportunity to experiment the harmony of code and real life!</p>
<p>
The successful candidate will be responsible for integrating AI-driven solutions and large language models (LLMs) into existing digital platforms, ensuring secure, scalable, and efficient deployment within an industrial environment.</p>
<p>
This position requires strong technical expertise in backend development, AI service integration, and deployment orchestration. The ideal candidate will play a key role in bridging artificial intelligence capabilities with enterprise-level systems to accelerate digitalization and automation initiatives.</p>
<p>
Additionally, the role involves designing AI-driven data understanding layers &mdash; tagging, classifying, and enriching existing database records to enable semantic search and complex natural language queries across structured and unstructured data sources.</p>
<p>
The engineer will help establish intelligent data pipelines that transform conventional SQL-based repositories into AI-accessible knowledge layers, supporting context-aware query generation and advanced analytics.</p><br>
<p><b>
Responsibilities</b></p>
<ul><li>Design, implement, and maintain AI-powered integrations within enterprise digital platforms</li></ul>
<ul><li>Develop RESTful APIs and backend microservices for connecting internal systems with AI services</li></ul>
<ul><li>Manage the deployment lifecycle of AI components using Docker, Kubernetes, and CI/CD pipelines</li></ul>
<ul><li>Build AI orchestration pipelines including prompt processing, intent mapping, and data retrieval mechanisms</li></ul>
<ul><li>Ensure adherence to corporate standards on data privacy, access control, and cybersecurity</li></ul>
<ul><li>Conduct functional and performance testing of deployed AI services</li></ul>
<ul><li>Monitor and continuously optimize AI workloads in production environments</li></ul>
<ul><li>Design data labeling and embedding strategies to make enterprise datasets searchable through AI.</li></ul><br>
<p><b>
Qualifications</b></p>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Software Engineering, Electrical-Electronics, or Artificial Intelligence</li></ul>
<ul><li>(Must have)Proven experience in delivering AI-driven integration or deployment projects in a production or enterprise environment, demonstrating measurable results or operational impact</li></ul>
<ul><li>Proficiency in modern programming languages and frameworks commonly used for API and backend development (e.g., Python, JavaScript, or similar technologies)</li></ul>
<ul><li>Hands-on experience with OpenAI, Azure OpenAI, Anthropic, or Hugging Face APIs</li></ul>
<ul><li>Working knowledge of relational or analytical databases (e.g., MySQL, Snowflake)</li></ul>
<ul><li>Understanding of vector databases (e.g., Pinecone, Weaviate, FAISS) and semantic search principles</li></ul>
<ul><li>Experience working in secure, large-scale enterprise software environments</li></ul><br>
<p><b>
Preferred Skills</b></p>
<ul><li>Familiarity with prompt engineering and model tuning concepts</li></ul>
<ul><li>Experience in transforming tabular and textual datasets into knowledge graphs or AI-queryable structures</li></ul><p><b>
What We Offer?</b></p><div>
<ul><li>Speaking up Culture</li></ul>
<ul><li>Respectful Workplace</li></ul>
<ul><li>Being part of a global work environment</li></ul>
<ul><li>Attractive remuneration package</li></ul>
<ul><li>Excellent recognition tools providing spot awards</li></ul>
<ul><li>Learning &amp; Development opportunities for both personal and professional growth</li></ul>
<ul><li>Leave days for parents and a variety of flexible working models that allow time off for yourself and your family</li></ul>
<ul><li>Creche allowance for mothers</li></ul>
<ul><li>Share matching programs to become a shareholder of Siemens AG</li></ul>
<ul><li>Remote working and remote living flexibility only for relevant positions</li></ul>
<ul><li>Find more benefits here</li></ul></div><p></p><p><i><br>
Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.</i></p><p></p><p>
&ldquo;At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality.
</p><p>As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.</p><p>
Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.</p><p>
We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.</p><p>
Please find more information from our web site:</p><p>
https://new.siemens.com/tr/tr.html</p><p></p><p><b><br>
#LI-HYBRID</b></p></div><p></p>

AI Integration & Deployment Engineer

JumpCloud

<div><div><b>All roles at JumpCloud&reg; are Remote unless otherwise specified in the Job Description.</b></div>
<h3 class="jobSectionHeader"><b>About JumpCloud&reg;</b></h3>
<div>JumpCloud&reg; is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.</div>
<div></div>
<h3 class="jobSectionHeader"><b>JumpCloud is Intelligent, Secure IT.</b></h3><div></div><h3 class="jobSectionHeader"><b><br>
About the Role</b></h3>
<p>
 JumpCloud is seeking a Senior Software Engineer to join our newly formed AI Platform team. As a founding member, you&rsquo;ll have a huge say in our technical direction and a chance to mentor others as we grow.</p>
<p>
You will bridge the gap between cutting-edge LLM research and production-grade engineering. Your mission is to design and build the end-to-end architecture for JumpCloud&rsquo;s AI platform&mdash;spanning model orchestration, tool integration, and real-time decision systems..This is a unique opportunity for an experienced and ambitious engineer to move beyond simple integration and build a scalable platform that empowers our entire engineering organization to ship agentic AI solutions solving real-world security and IT problems.</p><p></p><h3 class="jobSectionHeader"><b><br>
In this role, you will:
</b></h3><ul><li><p><b>Lead the Vision:</b> Drive the strategy, planning, and roadmap for our AI platform, identifying key opportunities to integrate AI into every stage of the product development lifecycle.</p>
</li>
<li><p><b>Architect and Build</b>: Design, develop, and maintain a robust and scalable AI platform. This includes creating and managing intelligent agents to automate tasks in areas such as requirements gathering, story creation, development, testing, CI/CD, and observability.</p>
</li>
<li><p><b>End-to-End Ownership</b>: Take full ownership of AI initiatives, from initial ideation and proof-of-concept to deployment, monitoring, and ongoing support.</p>
</li>
<li><p><b>Mentor and Collaborate</b>: Serve as a technical leader and mentor to other engineers, evangelizing AI best practices and collaborating with product managers, designers, and other engineering teams.</p>
</li>
<li><p><b>Drive Operational Excellence</b>: Ensure the AI platform is reliable, observable, and secure. Develop and maintain robust CI/CD pipelines, monitoring systems, and incident response protocols.</p>
</li>
<li><p><b>Customer-Centric Mindset</b>: Work closely with customer support and product teams to address customer escalations and use feedback to improve AI-driven solutions.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>You have:
</b></h3><div><ul><li><p><b>6-8+ years of experience</b> in software engineering, with a significant focus on building and scaling platforms.</p>
</li>
<li><p><b>Deep Expertise in AI</b>: Proven experience in designing, building, and deploying machine learning models and AI-driven systems in a production environment.</p>
</li>
<li><p><b>Platform Engineering</b>: Strong background in platform engineering, including building reusable services, APIs, and infrastructure to support multiple teams.</p>
</li>
<li><p><b>Full-Stack Proficiency</b>: Experience across the entire software development lifecycle, from requirements gathering and design to development, testing, and deployment.</p>
</li>
<li><p><b>Agent-Based Systems</b>: Hands-on experience creating and managing intelligent agents or similar automated systems to perform specific tasks.</p>
</li>
<li><p><b>Cloud and DevOps</b>: Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and modern DevOps practices, including CI/CD, Infrastructure as Code (IaC), and observability tools.</p>
</li>
<li><p><b>Strong Communication</b>: Excellent communication and collaboration skills, with the ability to influence technical and business strategy.</p>
</li>
<li><p><b>Problem-Solving</b>: A pragmatic and innovative problem-solver who can navigate ambiguity and deliver high-quality solutions.</p>
</li>
</ul></div><h6 class="jobSectionHeader"><b>#LI-MS1</b></h6><div></div><div><b><br>
Where you&rsquo;ll be working/Location:</b></div>
<div>JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.</div>
<div></div>
<div><b>This role is remote in the country of Turkey / T&uuml;rkiye. You must be located in and authorized to work in Turkey / T&uuml;rkiye to be considered for this role.
</b></div>
<div></div><div><b>Language:
</b></div><div>JumpCloud&reg; has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud&reg;, you will be required to speak and write in English fluently. Any additional language requirements will be included in the details of the job description.</div>
<div></div>
<div><b>Why JumpCloud?</b></div>
<div>If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud&reg; is an incredible place to share and grow your expertise! You&rsquo;ll work with amazing talent across each department who are passionate about our mission. We&rsquo;re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You&rsquo;ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.
</div>
<div></div><div>One of JumpCloud&reg;'s three core values is to &ldquo;Build Connections.&rdquo; To us that means creating &quot; human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed.&quot; - Rajat Bhargava, CEO</div>
<div></div>
<div>Please submit your r&eacute;sum&eacute; and brief explanation about yourself and why you would be a good fit for JumpCloud&reg;. Please note JumpCloud&reg; is not accepting third party resumes at this time.
</div>
<div></div><div>JumpCloud&reg; is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</div>
<div></div>
<div><b>Scam Notice:</b></div>
<div>Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.</div>
<div></div>
<div>All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line &quot;Scam Notice&quot;</div>
<div></div>
<div>#LI-Remote #BI-Remote</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy (https://jumpcloud.com/privacy) for more information about our personal data practices.</p></div>

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