Top Tech Jobs & Startup Jobs in Ankara

Own end-to-end global customer implementation projects from kickoff through go-live and handover. Build project plans, establish governance, manage RAID logs, milestones, dependencies, risks, and escalations, and coordinate clients and internal teams across countries and time zones. Lead status and governance meetings, drive accountability, ensure go-live readiness, maintain documentation, and support continuous process improvement.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Build and own the architecture for Dune’s curated data lifecycle, including dependency-aware orchestration, backfills, schema evolution, retries, recovery, data quality, and alerting. The role combines backend software engineering with large-scale data systems work across Go, Kotlin, Rust, Python, and SQL. Responsibilities include designing ingestion and curation contracts, making architecture decisions, solving ambiguous problems, and leading work that other engineers can execute.

Manages end-to-end apparel product development and production, from style creation and material sourcing through manufacturing and delivery. Coordinates with design, merchandising, technical design, fabric teams, suppliers, factories, and distribution centers to meet quality, cost, timing, shipping compliance, and margin requirements. Oversees style development, order placement, production calendars, supplier relationships, quality assurance, testing, reporting, and process improvement initiatives.

Develop and modernize full-stack applications using C#, .NET, React, and related technologies. Design REST APIs and microservices, build data-access layers with Entity Framework Core and SQL Server, and contribute to architecture, testing, code reviews, and Agile delivery. Maintain legacy systems while incrementally modernizing functionality, optimize application performance, and collaborate with UX, product, QA, research, data, and operations teams. Integrate AI technologies into applications and support clean, maintainable, scalable software development.

Owns the design and delivery of payment risk systems covering underwriting, exposure, reserves, payout controls, disputes, verification, and transaction monitoring. Leads projects from discovery through rollout and reliability monitoring while balancing fraud protection with organizer experience. Collaborates closely with Product, Payment Operations, and KYC teams, participates in on-call and incident response, mentors engineers, and helps automate manual risk decisions for a growing merchant-of-record platform.

Build and operate production-grade agentic AI systems, owning evaluation harnesses, metrics, regression gates, retrieval, orchestration, monitoring, and production reliability. Diagnose failures such as hallucinations, tool misuse, and retrieval misses, turning them into durable fixes. The role requires designing LangChain or LangGraph workflows, optimizing accuracy, latency, and cost, integrating external platforms, and collaborating clearly in a fast-moving startup environment.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Design, build and operate backend services in AWS for a multi-service hospitality platform. Implement new features, payment and EPOS integrations, improve performance, monitoring and deployment automation using TypeScript/Node.js and databases like Mongo Atlas, Postgres RDS or DynamoDB. Collaborate in a UK development team and automate infrastructure, CI/CD and QA.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.