Staff AI Engineer

Jobgether; Turkey; On-site; TRY 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary

Production-ready AI

Cross-functional collaboration

Architectural influence

Data privacy awareness

Job summary

Jobgether in Turkey is seeking a Staff AI Engineer to shape and deliver high-impact AI initiatives, building production-ready solutions that improve customer experiences. You will provide technical leadership across engineering teams, influence major architectural decisions, and help define the future of the organization’s AI capabilities.

Working within a collaborative, cross‑functional environment, you will lead projects from initial design through production deployment.

Qualifications

• Staff-level software engineer with hands-on leadership responsibilities.
• Experience designing, building, and deploying production-grade LLM applications and AI agents.
• Strong backend/platform engineering skills with Python and Django, PostgreSQL, Redis, REST/GraphQL APIs.
• Proven ability to design AI evaluation frameworks with automated testing, agent traces, human feedback, and monitoring.
• Understanding AI agent architecture, tool design, and orchestration for reliable systems.

Responsibilities

• Lead major AI initiatives—from design to deployment and optimization.
• Contribute to production AI systems, improve architecture and workflows.
• Develop scalable AI quality frameworks and monitoring.
• Define architectural standards across teams and drive cross-functional alignment.
• Collaborate with Product, Design, QA, and Operations to translate business needs into technical solutions.

Skills

Python

Django

PostgreSQL

Redis

REST API

GraphQL

LLM apps

AI architecture

Security

Scalability

Code review

Mentorship

Tools

Docker

Kubernetes

Git

Prometheus

Airflow

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Engineer based in Turkey.

As a Staff AI Engineer, you will play a key role in shaping and delivering high-impact AI initiatives, building production-ready solutions that directly improve customer experiences. You will provide technical leadership across engineering teams, influence major architectural decisions, and help define the future of the organization’s AI capabilities. Working within a collaborative, cross‑functional environment, you will lead projects from initial design through production deployment. You will also strengthen the shared AI platform, establishing robust evaluation frameworks, quality standards, and scalable infrastructure. This is an opportunity to combine hands‑on engineering with strategic influence, building reliable AI systems that deliver measurable value to real users.

Accountabilities

• Lead the technical design, development, and delivery of major AI initiatives, including AI-powered assistants, contextual data systems, and generative AI features.
• Contribute directly to production AI systems from the outset, identifying technical opportunities and delivering improvements to existing architecture and workflows.
• Drive early improvements in AI quality, reliability, and performance by addressing known failure points, strengthening evaluation coverage, and implementing measurable enhancements.
• Take ownership of major AI projects from architecture and technical planning through cross‑functional collaboration, deployment, and ongoing optimization.
• Define and influence architectural decisions across engineering teams, with particular responsibility for AI architecture and shared platform infrastructure.
• Establish scalable AI quality frameworks, including automated evaluations, regression testing, guardrails, agent tracing, human feedback mechanisms, and production monitoring.
• Design and implement reliable AI agents and tool integrations, balancing deterministic code and LLM capabilities while addressing security, latency, reliability, and cost.
• Drive broader engineering initiatives that improve development quality and velocity, such as AI evaluation standards, agentic software development practices, code review processes, and technical documentation.
• Collaborate closely with Product, Design, QA, Operations, and engineering stakeholders to translate business needs into effective technical solutions.
• Promote engineering excellence through technical mentorship, knowledge sharing, clear architectural standards, and a culture of continuous improvement.

Requirements

• Extensive experience in software engineering at Staff Engineer or equivalent level, with a proven ability to lead complex, ambiguous initiatives as a hands‑on individual contributor.
• Demonstrated experience designing, building, and deploying production‑grade LLM applications, AI agents, or generative AI features used by real customers.
• Strong technical leadership skills, including the ability to influence architectural decisions across teams, establish engineering standards, and drive initiatives from proposal through implementation.
• Proven experience building and maintaining AI evaluation frameworks that combine automated testing, agent traces, human feedback, and production monitoring to measure quality and prevent regressions.
• Strong understanding of AI agent architecture, tool design, and orchestration, including the ability to determine when deterministic logic is preferable to LLM-based solutions.
• Experience designing secure and reliable tool boundaries, human‑in‑the‑loop workflows, and systems that balance performance, latency, security, and operational costs.
• Sound judgment in build‑versus‑buy decisions, model selection, and AI provider integrations.
• Strong backend and platform engineering expertise, particularly with Python and Django, PostgreSQL, Redis, asynchronous workers, and REST or GraphQL APIs.
• Ability to design scalable shared AI infrastructure with well‑defined interfaces, efficient caching strategies, and robust tenant isolation.
• Excellent problem‑solving, communication, and collaboration skills, with the ability to work effectively across Product, Design, QA, and engineering teams.
• A pragmatic, measurement‑driven approach to AI development, prioritizing evidence, evaluation, and reliability over simply changing models or rewriting prompts.

Benefits

• Competitive salary package.
• Opportunity to build and ship production AI solutions used daily by real customers.
• Broad technical scope across multiple AI products and the shared infrastructure supporting them.
• Significant architectural influence and participation in major technical decision‑making processes.
• Access to a valuable proprietary dataset drawn from approximately 1,200 aesthetic medical practices, supporting the development of differentiated AI capabilities.
• High‑autonomy, high‑ownership Staff‑level individual contributor role with direct influence over the AI roadmap and engineering strategy.
• Opportunity to contribute to meaningful technology that empowers independent business owners and supports the long‑term growth of small businesses.
• Collaborative, inclusive, and ownership‑driven engineering culture that values speed, care, continuous learning, and simplicity.
• A workplace that welcomes diverse backgrounds and perspectives, with accommodations available throughout the recruitment process.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.