AI Engineer

Coderspace

Turkey

On-site

TRY 550,000 - 900,000

Full time

3 days ago
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Benefits offered by this job

Meal allowance
Private health insurance
Commuting support
SOS leave (10 days)
Birthday leave
Language learning support
Personal development budget
Well-being platform
Relocation allowance
Top-tier work equipment
Cultural events tickets

Job summary

Paribu is seeking an AI Engineer to design, build, and operate production-grade LLM applications and AI-powered tools. You will develop scalable backend services, integrate with developer tools, and establish observability, governance, and cost controls across AI workflows.

You will collaborate with engineering and business teams to identify high-impact AI opportunities and drive end-to-end ownership from architecture to production.

Qualifications

  • Hands-on experience building production-grade LLM applications and embeddings.
  • Strong backend engineering with Python and/or TypeScript/Go, API design.
  • Experience evaluating and monitoring LLM systems with metrics and tracing.
  • Security, data governance, and auditability in AI systems.
  • Experience integrating AI with GitHub, Slack, CI/CD and MCP-style integrations.

Responsibilities

  • Design, build, and operate production-grade LLM applications and RAG pipelines.
  • Develop scalable backend services and APIs powering AI products.
  • Implement evaluation, observability, and cost optimization for models.
  • Ensure secure, permission-aware AI systems with data governance.
  • Collaborate with engineers and stakeholders to identify high-impact AI use cases.

Skills

LLM applications
RAG pipelines
agent/workflows
Python
TypeScript/Go
API design
Cloud & Kubernetes
Security & governance
GitHub & DevTools

Tools

GitHub
Slack
CI/CD pipelines
MCP-based tools

Job description

Founded in 2017, Paribu has been playing a key role in the development of Türkiye’s crypto asset ecosystem by delivering innovative blockchain-based products and services. It offers a fast, easy, and secure exchange experience with more than 210 crypto assets.

In 2024, Paribu introduced Paribu Custody, one of the few globally digital asset custody solutions tailored for institutional clients. At the same time, Paribu offers a secure self‑custody experience for individuals and startups through its next‑generation crypto wallet solution, Paribu Self. Beyond its mission to increase blockchain adoption, Paribu is committed to shaping the future by actively supporting culture, arts, sports, and education.

Paribu works with curious, innovative, and impact‑driven professionals who are passionate about pushing boundaries and driving technological advancement. It fosters a culture of continuous learning, collaboration, and sharing. Whether you specialise in technology, design, strategy, operations, or beyond, you will be part of a team shaping the future of finance.

Paribu provides a working environment where ideas turn into reality, and innovation thrives. Here, you’ll work alongside talented professionals, tackle exciting challenges, and contribute to meaningful projects that align with Paribu’s vision of delivering fast, easy, and secure experiences.

The impact you’ll make

At Paribu, every team member plays a crucial role in driving innovation and delivering high‑quality solutions. As an AI Engineer, you will be responsible for:

  • Designing, building, and operating production‑grade LLM applications, including RAG pipelines, agentic workflows, and tool integrations
  • Building scalable backend services and APIs that power AI products and internal knowledge systems
  • Developing evaluation and observability practices to measure model quality, reliability, latency, and cost
  • Designing secure and permission‑aware AI systems with strong data governance, privacy, and auditability
  • Integrating AI capabilities with developer and collaboration tools such as GitHub, Slack, CI/CD pipelines, and MCP‑based tools
  • Owning AI solutions end to end, from architecture and experimentation to cloud deployment and production operations
  • Working closely with engineering teams and business stakeholders to identify high‑impact AI use cases and turn them into scalable solutions
  • Driving adoption of AI‑powered workflows across teams by experimenting, measuring impact, and continuously improving solutions
  • Contributing to the development of the AI engineering team through technical leadership, mentoring, and knowledge sharing

We value skills and potential as much as experience. To thrive in this role requires:

  • Hands‑on experience building production‑grade LLM applications, including RAG, embeddings, hybrid search, reranking, prompt/context engineering, and agent or tool‑use architectures
  • Strong backend engineering skills with Python and/or TypeScript/Go, API design, asynchronous systems, databases, vector stores, and message queues
  • Experience evaluating and monitoring LLM systems through eval sets, online/offline metrics, tracing, and latency and cost optimization
  • Strong understanding of security and data governance, including permission‑aware retrieval, PII handling, secrets management, and auditability
  • Experience integrating AI systems with developer tools and workflows such as GitHub, Slack, CI/CD, and MCP‑style integrations
  • Working knowledge of cloud infrastructure, containers, Kubernetes, and infrastructure‑as‑code practices
  • Strong product and engineering judgment, with the ability to balance accuracy, cost, complexity, security, and speed
  • Ability to operate in ambiguous 0→1 environments, define problems, ship quickly, and iterate based on real user feedback
  • Clear communication skills with the ability to explain AI trade‑offs and technical decisions to both technical and non‑technical stakeholders
  • Strong ownership and ability to influence cross‑functional teams through results, collaboration, and enablement
  • Experience mentoring engineers or contributing to building and growing engineering teams
  • Experience with GraphRAG, knowledge graphs, fine‑tuning, model distillation, or coding agents is considered a plus
The advantages of being at Paribu

Paribu invests in its team’s growth, well‑being, and happiness. Here’s what you can expect:

  • Meal allowance – Generous support with a flexible meal card.
  • Private health insurance – Comprehensive coverage for employees, including spouse and children.
  • Commuting support – Financial support for commuting based on your office route.
  • S.O.S. leave (10 days) – Additional leave days up to 10 days per year for urgent and unexpected matters, apart from annual leave.
  • Birthday leave – One extra day off during your birthday month.
  • Language learning support – Resources to enhance English communication skills.
  • Personal development support – Budget for exploring hobbies, attending professional courses, and personal growth.
  • Well‑being & health platform – Access to digital health and wellness services, including mental health support, and well‑being resources.
  • Relocation allowance – Financial support for relocating to within a 15‑km radius of Paribu’s office, if you are currently based outside Istanbul.
  • Top‑tier work equipment – High‑performance devices and all the essential tools you need to do your best work.
  • Cultural events – Enjoy concerts, theater, cinema, and sports tickets through company‑sponsored raffles.
Application process
  • While we carefully review every application, only candidates whose profiles best align with the role will be contacted. We appreciate your understanding on this matter.
  • All applications received by Paribu are treated equally, without prejudice to age, gender, religion, race, disability, or marital status, in full compliance with personal data protection principles.

In accordance with applicable data protection regulations, please note the following:

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