Senior AI Platform Engineer (Digital)

Aras Kargo; Beykoz; On-site; TRY 600,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid working

Birthday leave

Meal card

Health insurance

Job summary

Aras Kargo is seeking a Senior AI Platform Engineer to own the architecture behind our LLM-powered services and backend platform. You will drive real-time streaming systems, ensure architectural discipline, and mentor mid-level engineers while partnering with a senior developer.

The role focuses on Python backends, vector search, cloud services, and event-driven designs to move operations toward real-time capabilities across logistics platforms.

Qualifications

• 5+ years building production backend systems in Python (FastAPI or comparable).
• Hands-on experience shipping LLM/RAG systems and vector search.
• Cloud-based architectures and DevOps coordination at infra level.
• Experience with MongoDB and/or PostgreSQL; Redis for caching/queues.
• Designing event-driven services with Kafka (producers/consumers).
• Proven track record of introducing automated testing and CI/CD gates; mentoring.

Responsibilities

• Own LLM-powered chat and retrieval-augmented generation services.
• Maintain architectural consistency across backend services.
• Implement automated testing and enforce code quality standards.
• Integrate cloud identity, secrets, and storage services with DevOps.
• Mentor mid-level engineers and pair with senior developers.
• Move internal tools to real-time, event-driven streaming.

Skills

Python

LLM systems

Mentoring

Event-driven design

Cloud & DevOps

Tools

MongoDB

PostgreSQL

Redis

Kafka

Docker

Job description

Our journey, which began in 1979, has grown into a strong logistics network that delivers more than 1 million shipments daily across Türkiye, with 13 Regional Directorates, 28 Transfer Centers, nearly 1,000 branches, a fleet of 3,000 vehicles, and a team of 14,000 employees.As a subsidiary of Austrian Post, we continue our operations with international strength while investing in technology and innovation through Aras Digital, expanding beyond borders through Aras Global, and supporting the unifying power of sports through our Aras Kargo Women's Volleyball Team.

With our renewed identity, experience, and energy, we are setting our course toward the future. If you would like to grow, develop, and take a strong step forward in your career on this journey with us, we would be delighted to welcome you to our team.

At Aras Digital, we are looking for a Senior AI Platform Engineer who is highly effective in LLM-powered services, backend architecture, and real-time streaming systems. Own the architecture behind our LLM-powered services and our backend platform more broadly, and bring the engineering discipline - testing, standards, real-time architecture – that lets the rest of the team move faster.

Responsibilities

• Our LLM-powered chat and retrieval-augmented generation services, including vector search design and semantic caching.
• Architectural consistency across our backend service fleet - many services share common origins and patterns that have started to drift; you decide what "standard" means and bring services back to it.
• Automated testing and code quality standards within the services themselves - partnering with DevOps (who own and run our CI/CD pipelines) so those pipelines gate on real test suites and quality checks, not just build and deploy.
• Application-layer use of our cloud provider's identity, secrets, and storage services - integration, cost and latency tradeoffs at the service level, in coordination with DevOps on the underlying provisioning.
• Technical mentorship for mid-level engineers moving toward backend and platform work, and close pairing with our senior developer to split ownership sensibly.
• Moving one of our internal-facing operational tools from a read-only, polling-based design to a real-time, event-driven one - streaming live operational events to the UI the same way our chat services already stream responses.

Qualifications

Must have

• 5+ years building production backend systems in Python (FastAPI or comparable).
• Hands-on experience shipping LLM/RAG systems – an orchestration framework, vector search, embeddings, prompt and context design.
• Comfortable working with cloud and storage services at the application layer, and coordinating with a DevOps team on the underlying infrastructure.
• MongoDB and/or PostgreSQL; Redis for caching or queues.
• Comfortable designing event-driven services with Kafka (producers/consumers, topic/schema design) - one of our next real projects moves a batch/polling-based tool to a live one.
• A track record of introducing automated testing and code quality standards to a codebase that didn't have them, and of working with a DevOps team so existing CI/CD pipelines actually gate on that.
• Enjoys mentoring - you'll be a technical reference point for several mid-level engineers.

Good to have

• Workflow orchestration tools (e.g. Airflow) or task queues.
• Geospatial/routing optimization experience.
• Enough frontend experience (React/TypeScript) to review architecture, not necessarily to build UI daily.
• Experience in logistics, supply chain, or another operationally real-time domain.

The Stack You'd Step Into

• AI / LLM: LLM orchestration (e.g. LangChain-style frameworks), cloud LLM APIs, vector search, semantic caching, streaming responses
• Real-time / streaming: Kafka, async Kafka consumers, WebSocket streaming, Redis
• Cloud & infra: Major cloud provider's identity, secrets, and blob storage services, Docker
• Data (adjacent teams): Workflow orchestration (Airflow-style), task queues
• Good to know: Geospatial/routing optimization concepts (routing engines, clustering, route-optimization heuristics)

What Awaits You at Aras?

With our values of "We Are Aras: Purpose, Performance, and Joy," we focus on people, society, and creating together. We offer an inclusive culture that supports the well-being, development, and work-life balance of our employees in every aspect. In this work experience, where you will feel valued and ready for the future:

• You become part of a flexible and balanced working experience (benefits such as a hybrid working model for office employees, flexible working hours, early finish on Fridays, and taxi transportation for Headquarters employees).
• You can create time for the special moments in your life (practices such as birthday leave and 30 days of paternity leave).
• You benefit from comprehensive fringe benefits that support your well-being and safety (the Meditopia app, meal card, supplementary health insurance, life insurance, and personal accident insurance).
• You can strengthen your competencies through continuous learning and development opportunities (technical and behavioral online training through Aras AkademiGO, leadership and talent programs, English language training, and postgraduate education support).
• You become part of a strong team culture that focuses on collaboration, recognition, and inclusiveness, while taking ownership and responsibility.

Aras Kargo is an equal opportunity employer. We value diversity and are committed to creating an inclusive working environment for all employees. All qualified applicants are encouraged to apply regardless of gender, age, disability, or background.

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