Senior AI Agent & NLP Scientist (RAG/LLM)

Şişecam; Fatih; On-site; TRY 400,000 - 700,000; Full time

Job summary

Şişecam is seeking an experienced AI/ML Software Engineer to design and develop AI agents and end-to-end RAG solutions for enterprise use. You will work on MCP servers, secure integrations with SAP and BigQuery, and deliver NLP-powered information extraction and semantic search across large content repositories.

You will contribute to prompts, context management, model governance, and cost optimization while collaborating on production deployments and ongoing AI innovations.

Qualifications

• 5+ years of software/data engineering experience with LLM/NLP-based systems.
• Proven experience delivering production-grade LLM solutions (RAG, AI agent, or intelligent assistant).
• Strong Python development, including testing, asynchronous programming, type safety, and version control.
• Solid expertise in RAG architectures, retrieval techniques, tool calling, context management, and document processing.
• Deep understanding of NLP concepts: classification, information extraction, NER, summarization, and semantic search.
• Experience with LLM evaluation, error analysis, and hallucination mitigation.
• Experience building AI apps on cloud platforms; GCP and Vertex AI are a plus.
• Familiarity with agent frameworks, MCP, vector databases, and model fine-tuning.

Responsibilities

• Design and develop AI agents for key business functions using scalable multi-agent architectures.
• Develop and maintain MCP servers and secure integrations with enterprise systems, including SAP, BigQuery, and document repositories.
• Build and optimize end-to-end RAG solutions, improving retrieval quality and system performance.
• Develop NLP/LLM-powered solutions for information extraction, classification, summarization, and semantic search.
• Create evaluation frameworks, datasets, testing strategies, and quality metrics for reliable AI agents.
• Establish engineering best practices covering prompts, context management, security guardrails, governance, monitoring, and cost optimization.
• Collaborate on production deployments, release management, and operational monitoring of AI solutions.
• Stay current with AI advancements and contribute to technology evaluation and architectural decisions.

Skills

LLM & NLP experience

Python development

RAG architectures

Retrieval techniques

Tool/function calling

Context management

Document processing

LLM evaluation

Error analysis

Hallucination mitigation

Cloud AI development

English proficiency

Agent frameworks

Vector databases

Model fine-tuning

GCP

Vertex AI

Education

Bachelor’s degree in Computer Engineering or Software Engineering

Advanced degree (Master/PhD)

Tools

SAP

BigQuery

Document repositories

Job description

Şişecam is seeking an experienced AI/ML Software Engineer to design and develop AI agents and end-to-end RAG solutions for enterprise use. You will work on MCP servers, secure integrations with SAP and BigQuery, and deliver NLP-powered information extraction and semantic search across large content repositories.

You will contribute to prompts, context management, model governance, and cost optimization while collaborating on production deployments and ongoing AI innovations.