senior software engineer

ai engineer

part-time working student (software engineering) for talents with disabilities Jobs in Turkey

ai integration & deployment engineer Jobs in Turkey

ai integration & deployment engineer

ai product manager - remote Jobs in Turkey

ai product manager - remote

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>
</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

YO IT CONSULTING

<div><p><b>Job Title: </b>Python Developer - AI Expert</p>
<p><b>Job Type:</b> Part-time, Contract</p>
<p><b>Location:</b> Remote</p>
<p><b>Job Summary:</b></p>
<p>Join our customer's team as an experienced Backend Developer. In this high-impact, remote role, you'll design, implement, and continually improve robust backend APIs while collaborating with cutting-edge AI research. You'll help test and shape the next generation of developer tools alongside a high-caliber engineering group.</p>
<p><b>Key Responsibilities:</b></p>
<ul><li>Design, develop, and optimize REST and GraphQL endpoints for scalable APIs.</li>
<li>Drive data validation, error handling, and security best practices within backend services.</li>
<li>Plan and execute database migrations, optimizations, and schema changes as needed.</li>
<li>Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots.</li>
<li>Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows.</li>
<li>Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements.</li>
<li>Submit detailed post-burst surveys, delivering insights on model performance and developer experience.</li>
</ul><p><b>Required Skills and Qualifications:</b></p>
<ul><li>3+ years of professional experience as a backend developer, with strong expertise in Python.</li>
<li>Proficient in building and maintaining RESTful and GraphQL APIs.</li>
<li>Advanced understanding of backend data validation, error handling, and API security.</li>
<li>Hands-on experience with database migrations, performance tuning, and schema design.</li>
<li>Extensive use of AI tools for coding; familiarity with Cursor is highly desirable.</li>
<li>Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting.</li>
<li>Proven ability to thrive in fast-paced, confidential, and collaborative remote environments.</li>
</ul><p><b>Preferred Qualifications:</b></p>
<ul><li>Visible contributions to open source (e.g., GitHub stars or contributions).</li>
<li>Experience designing or evaluating experimental tooling and developer workflows.</li>
<li>Demonstrated enthusiasm for AI advancements in software development.</li></ul></div>

Python Developer - Remote

<div><p><b>Job Title:</b> Electronics Expert - DesignSpark PCB</p>
<p><b>Job Type:</b> Contractor</p>
<p><b>Location:</b> Remote</p>
<p><b>Job Summary:</b> As an Electronics Expert - DesignSpark PCB, youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required , your domain knowledge is what matters.</p>
<p><b>Key Responsibilities:</b></p>
<div><ul><li>Leverage your advanced proficiency in DesignSpark PCB to analyze and evaluate real-world electronic designs.</li></ul>
<ul><li>Create, review, and refine datasets that reflect best practices in PCB layout, analog circuits, high-speed digital design, and power electronics simulation.</li></ul>
<ul><li>Simulate complex analog and digital circuits, providing detailed feedback on design integrity, performance, and industry relevance.</li></ul>
<ul><li>Develop comprehensive documentation, technical notes, and written explanations to support data annotation and knowledge transfer.</li></ul>
<ul><li>Collaborate with a diverse, global team of experts, contributing insights to enhance the accuracy and depth of training data for AI models.</li></ul>
<ul><li>Apply deep hands-on experience to assess and validate PCB designs and circuit simulations for relevance, clarity, and technical correctness.</li></ul>
<ul><li>Use your strong written and verbal communication skills to clearly articulate electronic engineering concepts and mentor peers as needed.</li></ul>
</div><p><b>Required Skills and Qualifications:</b></p>
<div><ul><li>Expert-level knowledge of DesignSpark PCB with demonstrable, hands-on project experience.</li></ul>
<ul><li>Solid foundation in electronics engineering and circuit simulation using modern software tools.</li></ul>
<ul><li>Proven experience in analog circuit design and simulation, high-speed digital PCB design, and power electronics simulation.</li></ul>
<ul><li>Background as an Electronics Engineer, Hardware Design Engineer, PCB Designer/Layout Engineer, Power Electronics Engineer, or Analog Design Engineer.</li></ul>
<ul><li>Exceptional written and verbal communication skills, with a keen ability to explain complex concepts clearly and concisely.</li></ul>
<ul><li>Meticulous attention to detail and a commitment to producing high-quality, industry-relevant data and documentation.</li></ul>
<ul><li>Strong analytical and problem-solving abilities, with a proactive approach to technical challenges.</li></ul>
</div><p><b>Preferred Qualifications:</b></p>
<div><ul><li>Experience contributing to or training AI/machine learning systems in a technical domain.</li></ul>
<ul><li>Prior work on high-complexity, multi-layer PCB projects using DesignSpark PCB.</li></ul>
<ul><li>Advanced degree in Electronics Engineering or a related field.</li></ul></div></div>

Electronics Expert - DesignSpark PCB - Remote

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

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

<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>Owns the API architecture &mdash; every dashboard panel, every workflow, every integration runs through what you design.</p><p><b>
Mission</b></p><p>
You are the senior backend engineer and the architect of the API layer that all frontends, agents, and integrations depend on. You design the API contracts, the authentication flow, the workflow state machines, and the integration patterns. You build the core services yourself. Near-term: the FastAPI service powering the executive portal &mdash; all endpoints for budget data, KPIs, approvals, action tracking, and role-based access. Medium-term: the API backbone for crisis management systems, agent service endpoints, communications dispatch, and enterprise system integration contracts.</p><p><b>
What This Role Owns</b></p><ul><li><p>
API architecture: endpoint design, request/response contracts, versioning strategy, error standardization, OpenAPI spec generation</p></li><li><p>
Authentication and authorization: Azure AD SSO, MFA enforcement, role-based access control (executive read-only, operational read/write, admin)</p></li><li><p>
Workflow state machines: approval flows, posture transitions, action tracking &mdash; with immutable audit logging at every transition</p></li><li><p>
Session management: Redis-backed sessions, token refresh, expiry handling</p></li><li><p>
Integration design: patterns for connecting to enterprise systems at the application layer</p></li><li><p>
Agent service endpoints: backend services that AI agents call &mdash; tool endpoints, data retrieval, action execution</p></li><li><p>
Communications integration: email dispatch, messaging APIs, notification services</p></li><li><p>
Test coverage: unit tests, integration tests, and contract tests across all API endpoints</p></li></ul><p><b>
Key Decisions</b></p><ul><li><p>
API contract &mdash; endpoint naming, schemas, HTTP status codes, error format</p></li><li><p>
Authentication flow &mdash; token lifecycle, MFA enforcement points, role hierarchy</p></li><li><p>
Workflow state transitions &mdash; what is permitted, logged, irreversible</p></li><li><p>
Rate limiting, throttling, and idempotency design</p></li><li><p>
Technology choices within the approved backend stack</p></li></ul><p><b>
Does Not Do</b></p><ul><li><p>
Build or manage data ingestion pipelines (Data Platform Engineers)</p></li><li><p>
Write AI prompts or call LLM APIs directly (AI Engineer)</p></li><li><p>
Build frontend components (Full Stack Engineer)</p></li><li><p>
Define the database schema (Principal Data Architect)</p></li><li><p>
Define governance policies (Governance Lead)</p></li></ul><p><b>
Ideal Candidate</b></p><p>
Has designed and built a multi-role, authenticated REST API consumed by a frontend team that understood it the next morning without a walkthrough. Owns the API contract as a product &mdash; clear naming, consistent errors, auto-generated docs. Thinks carefully about state: no unlogged transitions, no silent failures, no ambiguous 200 responses. Fast &mdash; can scaffold a working FastAPI service with auth, DB, and Redis in a day.</p>
</div><div><ul><li><p>10+ years of experience with Python 3.10+ - type hints, async/await, exception handling</p></li><li><p>
FastAPI &mdash; async handlers, dependency injection, Pydantic models, middleware</p></li><li><p>
PostgreSQL &mdash; ORM (SQLAlchemy), raw query optimization, transaction management</p></li><li><p>
Azure AD &mdash; OAuth 2.0, JWT validation, MSAL, RBAC</p></li><li><p>
Redis &mdash; session store, distributed lock patterns, caching</p></li><li><p>
REST API design &mdash; versioning, error standardization, OpenAPI spec generation</p></li><li><p>
Docker + Azure App Service deployment</p></li><li><p>
GitHub Actions CI/CD</p></li><li><p>
pytest &mdash; unit and integration test coverage</p></li><li><p>
State machine design for multi-step workflows</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>

Backend / Systems Engineer

RedCloud Technologies

<div><p><b>About RedCloud</b></p><p>
The global supply chain is broken&mdash;creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board.</p><p>
RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain&mdash;enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment&mdash;facilitating smarter everyday business decisions for our customers, from factory to warehouse to store.</p><p>
Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America. We&rsquo;re building a more connected and efficient global trade network. Our AI labs are busy exploring the next generation of smart AI agents and deeper FMCG market intelligence for the benefit of our customers across a growing operational footprint.</p><p></p><p><b>
The role:</b></p><p></p><p>
A Senior Software Engineer solves challenges and adds value for our customers through their skills in technology. They investigate and resolve issues in our systems in a timely fashion. As a senior engineer within the team they are expected to give guidance, mentoring and where necessary training to juniors and/or new members of the team acting as the voice of experience, whilst still being open to learning from others. The Senior Engineer exemplifies our company values and is a consistent high performer delivering value on the most complex areas on a daily basis. They understand the architecture of the systems and are able to work with Engineering Managers and Product Managers to define and document architecture for new areas of the system, aligning to RedCloud&rsquo;s architecture strategies. They are expected to keep their technical knowledge up to date in the RedCloud Sphere of platforms, tools and languages.</p><p></p><p><b>
What you&rsquo;ll be doing:</b></p><p></p><ul><li><p>
Deliver Features and bug fixes in our software platforms for our customers.</p></li><li><p>
Investigate and resolve bugs in our systems.</p></li><li><p>
Respond to production outages and issues in our systems..</p></li><li><p>
Estimate features and bugs within estimation sessions alongside the team.</p></li><li><p>
Design end to end feature areas that fit into the overall RedCloud architecture patterns.</p></li><li><p>
Refine features delivered by product managers.</p></li><li><p>
Carry out code reviews / Pull-request reviews for other engineers, ensuring quality on code.</p></li><li><p>
As a senior member of the team train and learn latest technologies adopted by RedCloud suggesting future libraries and patterns we should be looking at as a business.</p></li><li><p>
Mentor all levels of engineers and new starters in the team, as their RedCloud buddy. Ensure they have all they need to succeed within your team.</p></li></ul><p></p><p><b>
What you&rsquo;ll need:</b></p><p></p><ul><li><p>
At least 6+ years of experience in software engineering, with strong proficiency in C#, .NET Core, AWS, Node.JS, Databases (SQL, NoSQL)</p></li><li><p>
Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks.</p></li><li><p>
Excellent communication skills, with a collaborative approach to working within diverse teams.</p></li><li><p>
A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches.</p></li></ul><p></p><p>
Check out the links below to see what our CEO Justin Floyd has to say about our plans for growth for the year ahead, and to see our latest video on the mission we&rsquo;re on!</p><p>
https://youtu.be/8BmLoJ9U9vA</p><p>
https://youtu.be/59PD4UoTgIE</p></div>

Senior Software Engineer

Explore 203+ Ai software engineer in Turkey this May. Find roles across top companies and apply now to boost your career.