AI Engineer II
New
S
SezzleFintech
Location: Türkiye, RemoteFull-TimeMiddle
Salary3,333 - 6,000 USD per month
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Job Details
- Experience
- 3–5 years
- Required Skills
- AWSPythonSQLFull Stack DevelopmentMachine LearningReactNLPLLMDistributed Systems
Requirements
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Demonstrated experience working with Claude or equivalent large language model tools.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
- Experience building AI-first platforms or internal products from scratch.
- Strong foundation in core machine learning and data science principles.
- Experience with transformer architectures (BERT, GPT, etc.) and RAG application patterns.
- Familiarity with embeddings, vector databases (Pinecone, Weaviate, pgvector), and NLP techniques.
- Familiarity with cloud-native development (AWS), containerization (Docker, Kubernetes), and CI/CD pipelines.
Responsibilities
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
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