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ai software engineer(python)

ai engineer computer vision

Randstad Türkiye

<div>
 
 We are looking for a
 
 
 "AI Engineer"
 
 
 on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 
 
 
 
 
 
 "If you are currently working as an AI Engineer mastered at Machine Learning and Deep Learning, this could be a fantastic next step in your career in a company set to completely revolutionize the telecommunications industry."
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Master Degree
 
 from a reputable university in Computer Science/Engineering, or a related field of study, a
 
 PhD degree is a big plus
 
 .
 </li>
 <li>
 Strong modeling experience with ability to build deep learning models.
 </li>
 <li>
 Experience in manipulating and analyzing large and complex datasets.
 </li>
 <li>
 Strong interest in solving real world problems.
 </li>
 <li>
 Experience in optimizing performance-critical applications.
 </li>
 <li>
 Familiarity with at least one ML/DL frameworks and libraries in
 
 Pytorch
 
 , Tensorflow, Keras, etc.
 </li>
 <li>
 Advanced proficiency with Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, etc.
 </li>
 <li>
 Experience on Kaggle contest is a plus, Getting a Prize will be better.
 </li>
 <li>
 Very good command of written and spoken English,
 </li>
 <li>
 A strong desire to learn and explore new technologies and good analysis and problem-solving skills.
 </li>
 <li>
 Experience in using source control tool (Git) and package managers.
 </li>
 <li>
 Having developed a project and experience in at least one of the classification, segmentation, and object detection fields.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Publishing academic papers.
 </li>
 <li>
 Preparing proposals for TUBITAK Project etc.
 </li>
 <li>
 Creating AI models from scratch and take ownership of them.
 </li>
 <li>
 Optimize and improve the model with given requirements.
 </li>
 <li>
 Actively participate in development for applying the model.
 </li>
 <li>
 Developing novel architectures for
 
 Computer Vision
 
 tasks.
 </li>
 </ul>
</div>

AI Engineer - Computer Vision

KKB Kredi Kayıt Bürosu

<div>
 
 As KKB, we have been the symbol of sustainable trust in financial life for more than 25 years.
 
 
 With the support of our competent human resources and innovative vision in the field of financial technologies, we develop products and services that are recognized as reference points.
 
 
 
 
 
 We are seeking a hands-on AI Engineer to design, build, and deploy cutting-edge artificial intelligence solutions. You will be responsible for the full lifecycle of AI applications, with a focus on Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and advanced generative models (model training, fine-tuning, evaluations, guardrails). The role also includes an applied research component: keeping up with the latest literature, experimenting with novel methods, and contributing to company research initiatives (including publishing and R&amp;D projects). You will join a team that bridges applied research and production systems.
 
 
 
 
 
 Would you like to be the newest member / a member of this qualified team that develops its business goals on a global scale in order to be an exemplary credit bureau to the world?
 
 
 
 
 
 
 What we look for:
 
 
 
 
 
 <ul>
 <li>
 Expert-level proficiency in
 
 Python
 
 and its core AI/ML libraries (PyTorch, HF Transformers, NumPy).
 </li>
 <li>
 Proven experience building solutions with
 
 vector databases
 
 (e.g., Qdrant, Weaviate, Pinecone, Chroma, Faiss, LanceDB, Qdrant).
 </li>
 <li>
 Deep understanding of LLMs,
 
 transformer architectures
 
 , fine-tuning and post-training methodologies. Experience with multi-modal models (vision, audio, etc.).
 </li>
 <li>
 Hands-on experience building
 
 agentic AI applications
 
 using frameworks like LangGraph, CrewAI, AutoGen, Pydantic AI or similar.
 </li>
 <li>
 Experience with
 
 AI safety
 
 , alignment, adversarial robustness.
 </li>
 <li>
 Experience developing and deploying
 
 RESTful APIs
 
 and microservices (e.g., using FastAPI).
 </li>
 <li>
 Solid software engineering practices (Git, CI/CD,testing, containerization, Docker).
 </li>
 <li>
 Data engineering skills required to build the
 
 data pipelines for AI
 
 applications.
 </li>
 <li>
 Familiarity with cloud services (Azure, GCP, AWS) for AI workloads.
 </li>
 <li>
 Preferably, B.S./M.S. in Computer Science, AI, or a related field.
 </li>
 <li>
 Preferably, Prior experience building
 
 agentic AI applications
 
 in real-world projects.
 </li>
 <li>
 Preferably, Experience with
 
 MLOps platforms
 
 (MLflow, Kubeflow, Vertex AI, SageMaker, or similar).
 </li>
 <li>
 Preferably, Proficiency with AI-powered coding tools (GitHub Copilot, Cursor, Claude Code, etc.).
 </li>
 <li>
 Preferably, Research background with publications or patents.
 </li>
 <li>
 Preferably, Contributions to
 
 open-source AI projects
 
 .
 </li>
 </ul>
 
 
 
 
 
 What your responsibilities will be:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy end-to-end AI applications and scalable API services (mainly in Python).
 </li>
 <li>
 Build and optimize
 
 RAG pipelines
 
 , leveraging vector databases (e.g., Qdrant, Weaviate, Pinecone, Faiss) and search/retrieval methods for high-performance systems. Optimize prompts for effective applications.
 </li>
 <li>
 Train, fine-tune, and post-train
 
 Large Language Models (LLMs)
 
 using methods such as LoRA, PEFT, DPO/PPO, and evaluate/optimize them for production use (quantization).
 </li>
 <li>
 Build and experiment with
 
 Agentic AI frameworks
 
 for reasoning, tool use, and multi-agent systems (e.g., LangGraph, CrewAI, AutoGen, Pydantic AI).
 </li>
 <li>
 Manage the AI model lifecycle, including MLOps, scaling, monitoring, containerization (Docker), and deployment on local or cloud infrastructure.
 </li>
 <li>
 Collaborate with infrastructure teams to productionize AI models.
 </li>
 <li>
 Perform applied research on state-of-the-art methods, contributing to publications, R&amp;D projects, and innovation initiatives.
 </li>
 <li>
 Collaborate with cross-functional teams to communicate technical concepts, understand requirements to prototype/build successful AI applications and productionize AI solutions.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 
 
 
 <ul>
 <li>
 We offer alternative working hours (08.00-17.00/09.00-18.00) that respond to today's needs and provide flexibility in managing your time,
 </li>
 <li>
 We care about you. For this reason, we are happy to provide you with a comfortable workspace as well as opportunities where you can improve yourself by acquiring new knowledge,
 </li>
 <li>
 We contribute to your career journey by providing unlimited training rights on platforms such as LinkedIn Learning, Pluralsight, covering the purchase of technical certificates and supporting your education in programs such as master's and doctoral programs,
 </li>
 <li>
 We know that learning and education continue for a lifetime and we bring together technical, professional and personal development training programs and development opportunities that we think can support you on your career path,
 </li>
 <li>
 With our social clubs, we support you to discover new hobbies and create a synergy with your teammates in a social environment,
 </li>
 <li>
 As an organization, we attach importance to employee volunteerism. All our employees can participate in social responsibility projects with non-governmental organizations under the umbrella of the KKB Volunteers Platform and we make a big difference with small acts of kindness,
 </li>
 <li>
 We care about your health; we offer you and your loved ones (spouse/children) a comprehensive health insurance package and title-independent life insurance coverage,
 </li>
 <li>
 We create a Corporate Contribution Private Pension plan for your future dreams,
 </li>
 <li>
 Considering their past seniority, we base our annual leave policy on their total seniority,
 </li>
 <li>
 Birthday leave and more awaits you!
 </li>
 </ul>
 
 
 
 
 For more information about us, please visit the link:
 
 
 https://www.kkb.com.tr/hakkimizda
 
 
 
 
 
 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu kapsam&inodot;nda ki&scedil;isel verilerinizin i&scedil;lenmesinden do&gbreve;an haklar&inodot;n&inodot;za ve bu konudaki detayl&inodot; bilgiye https://www.kkb.com.tr/kkb-calisan-adayi-kvkk-metni adresinde yer alan ayd&inodot;nlatma metnimizden ula&scedil;abilirsiniz.
 
 
 
</div>

Senior AI Engineer

Dizayn VIP

<div>
 
 AI Software Engineer (Python)
 
 
 We are looking a
 
 AI Software Engineer (Python)
 
 &nbsp;to join our team and help developing LLM powered application, text and audiobased systems.
 
 DUTIES &amp; RESPONSIBILITIES
 
 
 
 You will be working on an AI-powered voice assistant platform with the following key responsibilities:
 
 
 
 
 <ul>
 <li>
 
 API Development &amp; Integration
 
 : Develop, deploy, and maintain robust REST and streaming APIs in Python for integration with enterprise systems and applications, ensuring secure, efficient, and well-documented endpoints that adhere to industry best practices.
 </li>
 <li>
 
 AI/ML Implementation
 
 : Design and implement deep learning models focused on NLP and audio processing for voice assistant capabilities, with hands-on experience in LLM integration and AI agent development.
 </li>
 <li>
 
 Cloud Infrastructure &amp; Deployment
 
 : Architect and deploy scalable solutions using Google Cloud Platform (GCP) with serverless deployment strategies, implementing efficient caching mechanisms and microservices architecture.
 </li>
 <li>
 
 System Design &amp; Database Management
 
 : Design robust system architectures with strong focus on MySQL database design, optimization, and management for enterprise-scale applications.
 </li>
 <li>
 
 Development Operations
 
 : Improve build and test systems to enhance development efficiency and reliability, managing complex repositories with Git/Git LFS best practices.
 </li>
 <li>
 
 Security &amp; Performance
 
 : Implement microservices security protocols and optimize system performance across distributed architectures.
 </li>
 </ul>
 
 
 
 
 
 REQUIRED QUALIFICATIONS
 
 
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor's degree in Software Engineering, Computer Science, or related technical field
 </li>
 <li>
 
 3+ years of software development experience
 
 &nbsp;with substantial R&amp;D components in accomplished projects
 </li>
 <li>
 
 Proven experience developing enterprise applications
 
 &nbsp;with LLM integration and AI agent frameworks
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 
 Advanced Python programming
 
 &nbsp;with strong Object-Oriented Programming principles
 </li>
 <li>
 
 Hands-on experience with deep learning frameworks
 
 &nbsp;(e.g., PyTorch)
 </li>
 <li>
 
 Enterprise-level experience with LLMs and AI agents
 
 &nbsp;in production environments
 </li>
 <li>
 
 Google Cloud Platform (GCP) expertise
 
 &nbsp;with serverless deployment experience
 </li>
 <li>
 
 System design and architecture
 
 &nbsp;for scalable, distributed systems
 </li>
 <li>
 
 Caching mechanisms
 
 &nbsp;implementation and optimization
 </li>
 <li>
 
 REST APIs and streaming APIs
 
 &nbsp;development and management
 </li>
 <li>
 
 Strong MySQL knowledge
 
 &nbsp;including database design, optimization, and management
 </li>
 <li>
 
 Vector databases experience
 
 &nbsp;with Chroma and Weaviate for AI applications
 </li>
 <li>
 
 RAG systems expertise
 
 &nbsp;including both basic and advanced Retrieval-Augmented Generation implementations
 </li>
 <li>
 Experience with large-scale data processing and storage solutions
 </li>
 <li>
 
 Advanced Git and Git LFS
 
 &nbsp;repository management and best practices
 </li>
 <li>
 
 Microservices security
 
 &nbsp;implementation and protocols
 </li>
 <li>
 
 Agile methodology
 
 &nbsp;and software development lifecycle expertise
 </li>
 <li>
 
 Excellent understanding of Data Structures &amp; Algorithms
 
 </li>
 <li>
 
 Software design patterns and principles
 
 </li>
 <li>
 
 API security and authentication best practices
 
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 
 Fluent in English
 
 &nbsp;and
 
 Turkish
 
 (written and verbal communication)
 </li>
 <li>
 
 Continuous learning mindset
 
 &nbsp;with enthusiasm for pursuing research and adopting new technologies
 </li>
 <li>
 
 Strong problem-solving abilities
 
 &nbsp;and analytical thinking
 </li>
 <li>
 
 Collaborative team player
 
 &nbsp;with excellent communication skills
 </li>
 </ul>
 
 
 
 
 About Us:
 
 <ul>
 <li>
 DizaynVip was incorporated in 1992 starting at a small space of 20 m2 but with a significant target of becoming a global trademark. Today, DizaynVip is a worldwide known trademark, leading its sector, with its experience of over 20 years, a 10,000 m2 factory and more than 170 professional staff. DizaynVip, going from strength to strength, was awarded &ldquo;The Best Quality Automobile Design Company of Europe&rdquo; in the organization of the International Brands Leadership Summit which is attended for and on behalf of the European countries and Turkey. Special design vehicles, manufactured by Turkish Engineers and technical specialists in Turkey, are preferred by many worldwide celebrities from bureaucrats to sportsmen, from artists to businessmen.
 </li>
 <li>
 DizaynVip develops software for automotive and other companies.
 </li>
 </ul>
</div>

AI Software Engineer(Python)

Insider.

<div>
 Before jumping into all the information about the role and what you can bring to the table, let us introduce ourselves real quick.
 
 
 
 About Us
 
 
 
 We are Insider,
 
 the fastest-growing global MarTech scale-up
 
 and the
 
 #1 AI-native Customer Experience and Marketing
 
 platform trusted by enterprise brands worldwide. Our story began with six desks and a vision to create a single platform to make industry-first CX technologies and emerging channels accessible to marketers worldwide. Today, with 1500+ teammates across 50+ nationalities, we continue to push the boundaries of what&rsquo;s possible in CX. Our architecture brings together
 
 unified customer data, advanced journey orchestration, and comprehensive AI capabilities
 
 by seamlessly blending predictive, generative, and agentic AI into a single customer engagement platform that empowers teams to activate customer engagement across 12+ channels.
 
 
 We recently raised
 
 one of the largest funding rounds in the industry
 
 , a
 
 $500M Series E led by General Atlantic
 
 . We are backed by top-notch investors, including
 
 Sequoia Capital, QIA, Riverwood, and Endeavor Catalyst
 
 , and trusted by 1200+ brands from high-growth startups to the most prestigious Fortune 500 companies such as Samsung, Nike, L&rsquo;Oreal, Singapore Airlines, Nestl&eacute;, Nissan, Lenovo, Puma, IKEA, Allianz, Domino's, and the list goes on.
 
 
 Insider was congratulated for becoming
 
 one of the only woman-founded, women-led B2B SaaS unicorns in the world
 
 , achieving $200M in CARR (Committed Annual Recurring Revenue).
 
 According to Gartner,
 
 we are
 
 the dominant leader
 
 in Multichannel Marketing. Don&rsquo;t just take our word for it &mdash; see for yourself. We consistently outperform and continue our leadership, and the results speak for themselves.
 
 
 From day one, Insider&rsquo;s mission has not been only to build a world-class product company, but also to create one of the most socially progressive technology communities in the world. Through our corporate social responsibility initiatives like
 
 100 Social Responsibility Projects, AI Training for Teachers, Code Academy,
 
 
 SheCodes, SheLeads, and SheMarkables
 
 , our community has committed to scaling its impact on our communities across 27+ countries, driving initiatives in health, education, farming, animal rights, and increasing women&rsquo;s representation in STEM.
 
 
 Behind all these achievements is an exceptionally talented, visionary team of overachievers across 27+ countries that moves fast and agile, creating cutting-edge products, and focuses on making an impact. If you want to be a part of this journey, just keep reading.
 
 
 Our Partner Success Team consists of people from 31 different nationalities. They are how we thrive. They are our story makers. They are quick learners &amp; problem solvers. They are the master problem solvers, they resolve, they care and they ignite. Each of them is part of harmonious teamwork that follows meaningful goals. They are creative and innovative when it comes to implementing best practices, they are strategists and methodological approachers, have their eyes set to converge on the ultimate goal that is the customers&rsquo; success in all of the 25 regions. They are top-notch when it comes to forming relationships and stakeholder management. They are the perfect combination of people-driven and data-driven as they thrive on analytical thinking, analysis, and collaboration simultaneously. They are constant impact makers, constant developers, always eager to climb the steps of their career in this ever-growing multinational environment.
 
 
 We were a company made of 6 tiny desks when we started, so we never forget how important our hard work and dedication are. Until now it has been an inspiring story on our side, so we wanted to let you in on it. The rest? The rest is just this paragraph minimized into some bullet points on what we offer &amp; what we expect. But that&rsquo;s the thing that makes the difference between storytellers &amp; story makers; the things that grab your soul.
 
 
 As a Technical Support Engineer, you will play a crucial role in the Operational Excellence Team that owns support processes with our partners using our products and services. To succeed in this role you should be an excellent communicator with solid problem-solving skills.
 
 
 
 As a Technical Support Engineer in Insider day in and day out you will;
 
 
 
 <ul>
 <li>
 serve as an engineer to modify or customize the products based on customers' requirements,
 </li>
 <li>
 troubleshoot the technical issues of the products,
 </li>
 <li>
 communicate with customers using Zendesk Email to provide the solutions,
 </li>
 <li>
 consult the customers with the technical solutions for their requests,
 </li>
 <li>
 collaborate with the Product Team to decrease the customization efforts,
 </li>
 <li>
 work with global colleagues to optimize technical and service support processes
 
 
 
 </li>
 </ul>
 
 We want you to join us while we are taking a step into the future if you;
 
 
 
 <ul>
 <li>
 have a Bachelor&rsquo;s Degree in software development related (Computer Engineering, Computer Science, Programming, MIS, etc..) fields,
 </li>
 <li>
 know your way around JavaScript, HTML, CSS, and preferably JQuery,
 </li>
 <li>
 have at least a year of experience in supporting a software product, ideally in SaaS or with Software Development teams,
 </li>
 <li>
 You will be working with US clients according to the US timezone,
 </li>
 <li>
 have fluency in written and verbal English
 </li>
 <li>
 have a high sense of responsibility and accountability,
 </li>
 <li>
 are able to provide timely responses and follow up systematically,
 </li>
 <li>
 are a natural problem solver with a positive attitude and love for helping others succeed,
 </li>
 <li>
 have good debugging/troubleshooting skills,
 </li>
 <li>
 have good research skills to find the solution
 
 
 
 </li>
 </ul>
 
 While we are conquering the world, we are offering you;
 
 
 
 <ul>
 <li>
 A chance to work in an international, diverse, and inclusive environment,
 </li>
 <li>
 "Tech Talks" with famous and groundbreaking people from the software world,
 </li>
 <li>
 To be part of an industry that&rsquo;s shaping the future of customer experiences. Don't believe us? Just ask Google,
 </li>
 <li>
 Access and opportunity to gain a limitless network all over the globe,
 </li>
 <li>
 Access to many hard and soft skills pieces of training to help you improve and challenge yourself,
 </li>
 <li>
 access to 16,000+ online courses taught by real-world professionals on the LinkedIn Learning platform to satisfy your hunger for knowledge,
 </li>
 <li>
 A space to share your skills through training sessions and workshops if you wish. Sharing is caring!
 </li>
 <li>
 Inclusive Private Health Insurance,
 </li>
 <li>
 Smart Work Model side benefits to support food and bill expenses,
 </li>
 <li>
 The team activities that are bursting with fun,
 </li>
 <li>
 No Dress Code! This is a fast and innovative startup, you can wear whatever you want
 
 
 
 </li>
 </ul>
 We provide equal opportunity in a zero-discrimination workplace and not just welcome but also embrace everyone without regard to sex, race, color, nationality, religion, gender identity, sexual orientation, disability status, citizenship, or marital status.
 
 
 Please follow Insider on LinkedIn, Instagram, Youtube, and Medium!
 
 
 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.
</div>

Technical Support Engineer (US Support)

Monitize AI

<div>About Us
We are building the world&rsquo;s most valuable robotics training datasets. Our mission is to capture and process large-scale video data of human actions and environments, then deliver structured datasets to leading robotics companies.
The Role
We&rsquo;re looking for a Computer Vision &amp; Robotics Engineer to take ownership of our video data pipelines from raw uploads to structured, client-ready datasets. You&rsquo;ll work with state-of-the-art tools (classic CV models + modern vision-language models) and annotation platforms to automate, scale, and ensure quality.
What You&rsquo;ll Do<ul>
<li>
Build scalable pipelines to process and clean massive amounts of video data.</li>
<li>Automate annotation workflows using classic CV models + vision-language models (ChatGPT, Gemini, etc.) + human QA.</li>
<li>Package datasets in industry-standard formats (COCO, AVA, pose/action recognition datasets).</li>
<li>Maintain high data quality: filtering, deduplication, validation, metadata consistency.</li>
</ul>
Requirements
What We&rsquo;re Looking For<ul>
<li>
Strong Python skills (OpenCV, PyTorch/TensorFlow, NumPy/Pandas).</li>
<li>Experience with large-scale video dataset processing.</li>
<li>Familiarity with robotics training processes and models.</li>
<li>Familiarity with annotation tools (Label Studio, CVAT, Supervisely, etc.).</li>
<li>Knowledge of dataset standards used in CV/robotics (COCO, Pascal VOC, AVA).</li>
<li>Hands-on experience automating labeling and data QA.</li>
<li>Familiarity with modern Vision-Language Models (ChatGPT, Claude, Gemini, etc.) and how they can assist in labeling/annotation.</li>
</ul>
Nice-to-Have<ul>
<li>
Background in robotics, autonomous driving, computer vision, or large-scale data companies.</li>
<li>Prior startup experience (fast iteration, lean teams).</li></ul></div>

Computer Vision & Robotics Engineer

Dream Games

<div>
 
 We are looking for a passionate new grad to join our team as a Software Engineer. This is an exciting opportunity to contribute to all areas of game development, including programming graphics, game logic, and user interface using Unity. It is not required to have prior game development experience since we believe a competent software engineer can develop great things in any field. You will work effectively as part of a multi-disciplinary team of engineers, artists, and game designers to create games that will be played by millions of people all around the world.
 
 
 
 
 
 At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Designing, implementing, and testing game features
 </li>
 <li>
 Delivering well-structured code and participating in code-review sessions
 </li>
 <li>
 Creating flexible code that can be easily updated as the product evolves
 </li>
 <li>
 Contributing to the improvement of user experience in the games
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Fresh graduate from the field of Computer Science, Computer Engineering, or Software Engineering
 </li>
 <li>
 Knowledge of Object-Oriented Programming
 </li>
 <li>
 Interest in Unity and C#
 </li>
 <li>
 Passion and interest in games
 </li>
 <li>
 Appreciation and understanding of teamwork
 </li>
 </ul>
 
 
 
 
 
 Compensation &amp; Benefits
 
 
 
 
 
 <ul>
 <li>
 Monthly net salary is 240.000 TL
 </li>
 <li>
 Health, dental, and vision insurance with %100 coverage
 </li>
 <li>
 Relocation support as needed
 </li>
 </ul>
</div>

Software Engineer (New Grad)

ING Türkiye

<div>
 
 We are building a new
 
 AI for Tech Chapter
 
 focused on developing internal AI agents, automation workflows, and an AI orchestration platform that will support the productivity of our engineers across the organization.
 
 
 
 
 
 We are looking for an
 
 AI Engineer (Junior/Mid)
 
 who is passionate about building with LLMs, learning new technologies, and experimenting with modern agentic AI architectures.
 
 
 
 
 
 
 
 
 
 What you will do;
 
 
 
 
 
 
 
 Build and prototype AI agents
 
 - Develop internal AI agents and automations for engineering workflows including SDLC processes, documentation generation, and code analysis, etc.
 
 <ul>
 <li>
 Work with LLM APIs (OpenAI, Azure OpenAI, etc.) and orchestration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen&hellip;)
 </li>
 <li>
 Collaborate on RAG pipelines, vector databases, evaluation workflows, and platform components
 </li>
 <li>
 Integrate agents with internal systems (ServiceNow, Azure DevOps, observability tools, etc.)
 </li>
 <li>
 Research new AI tools, frameworks, and agent patterns &mdash; and present findings to the team
 </li>
 </ul>
 
 
 Develop backend services
 
 - Write clean Python code for APIs, workflow logic, and agent orchestration while learning software engineering fundamentals from the team
 
 
 
 Build quality and reliability practices
 
 - Help establish monitoring, logging, testing, and observability standards for production AI systems
 
 
 
 Document and share knowledge
 
 - Contribute to internal documentation, technical playbooks, and best practices that help the team scale
 
 
 
 
 
 
 What we are looking for;
 
 
 
 
 
 <ul>
 <li>
 
 Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
 
 </li>
 <li>
 
 Strong academic foundation in Machine Learning, NLP, or Generative AI
 
 through coursework, thesis, or research projects
 </li>
 <li>
 
 Up-to-date with latest AI/ML research and trends
 
 - you actively read papers and follow developments in LLMs, agents, RAG, and emerging techniques
 </li>
 <li>
 
 Demonstrated ML/GenAI project experience
 
 through university research, thesis, internships, hackathons, or personal GitHub repositories
 </li>
 <li>
 
 Solid software development fundamentals programming skills
 
 with ability to write clean, functional code (Python preferred, but Java/Go/.NET acceptable)
 </li>
 <li>
 Familiarity with at least one of these is a plus:
 </li>
 <li>
 &bull; Vector databases (Pinecone, Chroma, Weaviate...)
 </li>
 <li>
 &bull; LangChain / LlamaIndex / AutoGen / CrewAI
 </li>
 <li>
 &bull; Prompt engineering, RAG, embeddings
 
 
 </li>
 <li>
 
 Basic hands-on experience with LLMs
 
 - you've experimented with OpenAI, Claude, or similar APIs and understand prompt engineering
 </li>
 <li>
 
 Ability to read academic papers
 
 and translate research concepts into practical code implementations
 </li>
 <li>
 
 Fast learner
 
 with strong problem-solving abilities and eagerness to master production engineering practices
 </li>
 <li>
 
 Excellent communication skills
 
 - can explain complex AI concepts clearly to both technical and non-technical audiences
 </li>
 <li>
 
 Collaborative mindset
 
 - comfortable learning from senior engineers and contributing fresh perspectives from academia
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 
 Software engineering fundamentals
 
 : CI/CD, Git, APIs, Docker, or backend development basics
 </li>
 <li>
 
 Agent framework exposure
 
 (LangChain, LlamaIndex, CrewAI) or RAG/vector database experimentation
 </li>
 <li>
 
 Master's thesis or research publications
 
 in LLMs, NLP, Generative AI, or related ML areas
 </li>
 </ul>
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
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 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
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 Social clubs, celebrations, and events to help you balance work and fun.
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 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
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 Private pension plans to help you achieve your future goals.
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 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
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 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
 
 
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AI Engineer

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