1st level service desk agent

api optimization manager

app operations manager

aaa update agent

Delivery Hero

<div><b>Company Description</b><p><br>
Yemeksepeti is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.</p><b><br>
Job Description</b><br>
<ul><li>
Participates in and completes update processes for chain brands</li><li>
Prepares menus for new branches of chain brands</li><li>
Ensures procedures in MMT updates</li><li>
Checks and updates feedback from other teams</li><li>
Supports brand analyses</li><li>
Ensures mail tracking</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
Ability to accurately perform menu update processes</li><li>
Completes assigned tasks on time and without errors</li><li>
Ability to use basic reporting tools</li><li>
Open to feedback and continuous improvement</li><li>
Communicates clearly and effectively, both verbally and in writing</li><li>
Strong team player with a collaborative mindset</li><li>
Contributes to the chain team through individual performance</li><li>
Ability to manage and follow up on chain-related email communications</li><li>
Able to adapt to high-volume and repetitive workloads</li></ul><br>
<b>
Additional Information</b><br>
<ul><li>
A chance to crown your career at Yemeksepeti, Turkey's largest online quick delivery platform, that has been raising future managers and industry leaders for 20 years!</li><li>
A working environment where employee happiness is prioritized, with a strong corporate culture, passionate colleagues working together towards the same goal, and a transparent management approach!</li><li>
Project opportunities that you can run together with the employees of Delivery Hero companies in 43 countries of the world and great teachings about global industry leadership!</li><li>
Flexible work hours so that you can plan your business and social life as you wish! (Start working at any time between 08:00 and 10:00!)</li><li>
A birthday leave waiting for you the next day so you can have fun and party as much as you want on your birthday!</li><li>
Online trainings shaped by your choices, where the opportunities you can learn and improve yourself are unlimited!</li><li>
A comprehensive private health insurance that will never let you down when you need it!</li><li>
The Yemeksepeti family! Always smiling and high communication skills!</li><li>
A pre-planned orientation program so that you can capture the spirit of Yemeksepeti in the best way, get to know the brand from the inside, and always feel at home. And of course, a Buddy who will always support you in your first weeks!</li></ul><div></div><p>
At Yemeksepeti, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. <b>Learn more about our Leadership Principles </b><b>here</b><b>.</b></p><p>
Your rights arising from the processing of your personal data, within the scope of the Law on the Protection of personal data. You can find detailed information on the page of our Clarification Text at https://www.yemeksepeti.com/contents/kvkk-aday-aydinlatma-metni</p></div><p></p>

AAA Update Agent

EPAM Systems

<div><p>We are seeking a highly motivated and experienced <b>Generative AI Operations (GenAI Ops) Engineer</b> to join our innovative team.</p><p>
In this role, you will be at the forefront of the AI revolution, responsible for building, deploying, and maintaining the operational infrastructure for our cutting-edge generative AI models and services. You will work closely with data scientists, machine learning engineers and software developers to ensure our GenAI applications&mdash;especially complex multi-agent systems&mdash;are scalable, reliable and efficient across major cloud platforms. If you are passionate about operationalizing large-scale AI systems and want to make a significant impact, this is the role for you.</p><p><b>
Responsibilities</b></p><ul><li>
Build and Manage CI/CD Pipelines: Design, implement and maintain robust, automated CI/CD pipelines for training, evaluating and deploying large language models (LLMs) and AI agents</li><li>
Orchestrate Agentic AI Workflows: Design, deploy and manage sophisticated multi-agent systems Ensure seamless Agent-to-Agent (A2A) communication and collaboration between specialized agents to automate complex business processes</li><li>
Manage Tool Integration: Implement and manage secure, scalable integrations between AI agents and external tools/APIs, leveraging open standards like the Model Context Protocol (MCP) to ensure interoperability</li><li>
Leverage AI-Powered Development: Utilize AI-powered development tools to accelerate the entire software development lifecycle from writing infrastructure code and tests to troubleshooting operational issues in cloud environments</li><li>
Infrastructure as Code (IaC): Utilize cloud-native IaC services or cloud-agnostic tools like Terraform to define and manage the infrastructure required for GenAI workloads</li><li>
Model Monitoring and Observability: Implement comprehensive monitoring and logging solutions to track model and agent performance, resource utilization and system health For agentic systems, this includes tracing the agent's actions and logging the multi-step conversational flow</li><li>
Scalability and Performance Optimization: Design and implement scalable architectures for model serving and inference Continuously optimize the performance and cost-effectiveness of our GenAI services</li><li>
Security and Compliance: Implement and enforce security best practices for our GenAI infrastructure and data Ensure compliance with industry standards and regulations</li></ul><p><b>
Requirements</b></p><ul><li>
3+ years in a DevOps, SRE or MLOps role with a focus on cloud infrastructure and a background in cloud services (AWS, GCP, Azure)</li><li>
Skilled in building and managing CI/CD pipelines (Jenkins, GitLab CI or cloud-native services) and proficiency in at least one scripting language (e.g. Python, Bash)</li><li>
Familiarity with IaC tools (e.g. AWS CDK, CloudFormation, Terraform) and in containerization and orchestration (Docker, Kubernetes)</li><li>
Track record deploying and operating LLM inference (e.g. vLLM, Triton, TGI, Ray Serve, KServe/Seldon)</li><li>
Hands-on with LLM/app tracing and metrics (e.g. OpenTelemetry + Langfuse, Arize Phoenix, WhyLabs) and building eval pipelines (offline/online regression suites)</li><li>
Skilled in operating retrieval pipelines: embedding generation, indexing/refresh strategies, vector DBs (Pinecone, Weaviate, Milvus, FAISS) and relevance monitoring</li><li>
Practice running multi-agent workflows (LangGraph, CrewAI, AutoGen-like), including state management, retries, rate limits, tool-failure handling and step-level auditing</li><li>
Experience in implementing guardrails: secrets isolation, tool/API permissions, prompt-injection defenses, data leakage prevention, PII redaction and policy enforcement</li><li>
Fluent English (B2+ level)</li></ul><p><b>
Nice to have</b></p><ul><li>
Master's degree or PhD in Computer Science, AI, Machine Learning or a related field</li><li>
Background integrating agents with external tools using MCP (or similar tool-calling standards) and operating tool registries</li><li>
Experience with cloud-native GenAI services like AWS Bedrock, Azure AI Foundry or Google Vertex AI</li><li>
Familiarity with the architecture and operational challenges of Large Language Models (LLMs)</li><li>
Experience designing or managing multi-agent systems or complex orchestrated workflows</li><li>
Knowledge of monitoring and observability tools like Prometheus, Grafana or Datadog</li><li>
Relevant cloud or DevOps certifications</li><li>
Strong problem-solving skills and the ability to work effectively in a fast-paced collaborative environment</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of assignments and projects</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation office zones with tea, coffee and snacks</li><li>
Sports and game consoles</li><li>
IT equipment and Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p>
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.</p><p>
</p><p>EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.</p></div>

Senior Generative AI Operations (GenAI Ops) Engineer

YO IT CONSULTING

<div><p><b>Job Title:</b> Technical Lead</p>
<p><b>Job Type:</b> Contractor</p>
<p><b>Location:</b> Remote</p>
<p><b>Job Summary:</b></p>
<p>We are seeking an expert Technical Lead to join our customer's team and drive innovation on a cutting-edge AI agent project. In this role, you will leverage your deep hands-on coding expertise to guide the design, development, and training of AI models. This is an exciting opportunity to work remotely with a dynamic, collaborative team on impactful technology initiatives.</p>
<p><b>Key Responsibilities:</b></p>
<div><ul><li>Lead technical direction and architectural decisions for AI agent development using modern programming languages.</li></ul>
<ul><li>Collaborate with cross-functional teams to design, build, and optimize scalable AI solutions.</li></ul>
<ul><li>Write high-quality, production-level code in React, Python, Node.js, PHP, .NET, C#, or C++.</li></ul>
<ul><li>Mentor and support team members, fostering a culture of technical excellence and collaboration.</li></ul>
<ul><li>Develop, evaluate, and iterate on AI model training processes to enhance performance and accuracy.</li></ul>
<ul><li>Ensure clear, concise, and effective written and verbal communication within the team and with stakeholders.</li></ul>
<ul><li>Continuously research emerging trends in AI and software development to recommend improvements and drive innovation.</li></ul>
</div><p><b>Required Skills and Qualifications:</b></p>
<div><ul><li>3+ years of hands-on experience developing with React, Python, Node.js, PHP, .NET, C#, or C++.</li></ul>
<ul><li>Proven leadership experience guiding technical teams and projects to successful delivery.</li></ul>
<ul><li>Strong expertise in training AI models and implementing machine learning solutions.</li></ul>
<ul><li>Excellent written and verbal communication skills, with a passion for clarity and collaboration.</li></ul>
<ul><li>Ability to take ownership of complex tasks and drive projects from ideation to completion.</li></ul>
<ul><li>Self-motivated, proactive, and adaptable in a fast-paced remote environment.</li></ul>
<ul><li>Experience working with distributed teams and agile development methodologies.</li></ul>
</div><p><b>Preferred Qualifications:</b></p>
<div><ul><li>Exposure to multiple programming languages and willingness to learn new technologies.</li></ul>
<ul><li>Prior involvement in AI agent or similar advanced technology projects.</li></ul>
<ul><li>Experience working on customer-facing or client-driven teams.</li></ul></div></div>

Technical Lead - Remote

Avedo – eine Marke der Ströer X GmbH

<div><p>Du sprichst sehr gut Deutsch und arbeitest gerne mit Kunden? Du liebst Reisen und wei&szlig;t, wie man Begeisterung in Buchungen verwandelt? Dann bist du bei uns genau richtig. Arbeite f&uuml;r Avedo als <b>Call Center Agent Inbound Sales (m/w/d)</b> im Bereich Travel &ndash; auf Freelancer-Basis.</p><p><b><br>
Das bieten wir</b></p><ul><li>
100 % Remote &ndash; du arbeitest von dort, wo du am produktivsten bist</li><li>
leistungsbasierte Verg&uuml;tung: Bezahlung pro Produktivminute + Provision f&uuml;r erfolgreiche Verk&auml;ufe</li><li>
vollst&auml;ndige Remote-Schulung (7&ndash;12 Tage) vor dem Start</li><li>
pers&ouml;nliche Betreuung und Onboarding vom ersten Tag an</li><li>
Teil eines wachsenden, internationalen Freelancer-Netzwerks</li><li>
langfristige Zusammenarbeit mit echten Entwicklungsperspektiven</li></ul><p><b>
Deine Aufgaben</b></p><ul><li>
Bearbeitung eingehender Kundenanfragen zu Reiseangeboten</li><li>
kompetente Beratung von Kunden und aktiver Verkauf passender Reiseprodukte</li><li>
Betreuung von Service- und Verkaufsanliegen im Inbound-Kontakt</li><li>
&Uuml;bernahme von Schichten im Rahmen der Notfallhotline (auch nachts)</li></ul><p><b><br>
Dein Profil</b></p><ul><li>
Erfahrung im telefonischen Vertrieb, Inbound Sales oder Customer Service &ndash; idealerweise im Contact-Center-Umfeld</li><li>
Sehr gute Deutschkenntnisse in Wort und Schrift</li><li>
Ausgepr&auml;gte Kommunikationsst&auml;rke und Freude am aktiven Verkauf</li><li>
Eigenmotivation, Disziplin und eine zuverl&auml;ssige, selbstst&auml;ndige Arbeitsweise (Freelancer-Modell)</li><li>
Bereitschaft zur Schichtarbeit, inklusive Nacht- und Notdiensteins&auml;tzen</li><li>
Sicherer Umgang mit g&auml;ngigen CRM- und Telefonie-Tools oder hohe technische Affinit&auml;t</li><li>
Stabile Internetverbindung und ruhiger Arbeitsplatz im Homeoffice</li><li>
Interesse an Reisethemen von Vorteil</li></ul><p></p><p><b>
Wichtig zu wissen</b></p><ul><li>
die Zusammenarbeit erfolgt auf <b>Freelancer-Basis</b></li></ul><p></p><p><b>
Klingt nach dir?</b></p><p>
Dann bewirb dich jetzt als Call Center Agent Inbound Sales (Deutsch) &ndash; Travel (m/w/d) &ndash; unkompliziert und direkt. Wir freuen uns auf dich!</p><p><i><br>
S&auml;mtliche Bezeichnungen richten sich an alle Geschlechter.</i></p></div>

Call Center Agent Inbound Sales (Deutsch) – Travel (m/w/d)

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

<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

<div><p><b>Job Title:</b> Voice Actors Prompt Writer</p>
<p><b>Job Type:</b> Contractor</p>
<p><b>Location:</b> Remote</p>
<p><b>Job Summary:</b></p>
<p>Join our customer team as a Voice Actors Prompt Writer and play a pivotal role in shaping the future of AI voice technology. In this expert-level, fully remote position, you'll craft engaging and effective prompts that guide voice actors, fueling the next generation of AI agents. This is an exciting opportunity to blend creativity, technical accuracy, and linguistic expertise in a fast-evolving field.</p>
<p><b>Key Responsibilities:</b></p>
<ul><li>Develop, write, and refine high-quality prompts tailored for voice actor interpretation within AI agent projects.</li>
<li>Collaborate closely with AI engineers, project managers, and voice actors to ensure clear, expressive, and purposeful scriptwriting.</li>
<li>Research and analyze various voice acting styles to design prompts optimized for diverse character and emotion delivery.</li>
<li>Iterate on prompt effectiveness based on feedback and performance metrics to hone the overall AI voice experience.</li>
<li>Uphold best practices for voice prompt clarity, tone, and engagement across a wide range of scenarios.</li>
<li>Document processes, revisions, and linguistic choices for knowledge sharing within the customer's team.</li>
<li>Contribute to a creative, communicative, and results-driven remote work culture.</li>
</ul><p><b>Required Skills and Qualifications:</b></p>
<ul><li>Exceptional command of written and spoken English, with an ability to craft precise and lively scripts.</li>
<li>Proven experience in scriptwriting for voice actors, audio production, or AI-driven applications.</li>
<li>Outstanding writing and editing skills with sharp attention to detail and narrative flow.</li>
<li>Strong verbal communication and proactive collaboration abilities in remote, cross-functional environments.</li>
<li>Demonstrated initiative and adaptability in fast-paced, iterative projects.</li>
<li>Passion for AI technologies and their applications in natural language and voice.</li>
<li>Ability to synthesize feedback to continuously improve script and prompt quality.</li>
</ul><p><b>Preferred Qualifications:</b></p>
<ul><li>Background in linguistics, creative writing, journalism, or related fields.</li>
<li>Experience working with AI or machine learning teams in content development.</li>
<li>Familiarity with diverse voice acting genres or multilingual scripting.</li></ul></div>

Voice Actor - Remote

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