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At Cognipeer, we develop enterprise-grade AI solutions, agent-based architectures, and Generative AI projects. Alongside our platform, we also deliver digital transformation projects across various industries. We are looking for mid-level and senior developers experienced in building agentic structures with frameworks like LangChain and LangGraph, designing RAG (Retrieval-Augmented Generation) architectures, and working with open-source LLMs.
- Develop agent-based applications using frameworks such as LangChain or LangGraph.
- Design and deploy LLM-based solutions with open-source and cloud-based models.
- Build RAG architectures and work with vector databases.
- Deploy projects into production with stable and scalable solutions.
- Collaborate with the team to design innovative solutions for customer needs.
- Optional: Contribute to GPU model deployment, optimization, and scaling.
RequirementsMandatory:
- Strong development experience with JavaScript, TypeScript, or Python.
- Hands-on experience with open-source LLMs (LLaMA, Mistral, Qwen, GPT-OSS, etc.).
- Contributed to at least one production-level AI/LLM project.
- Experience with agentic architectures (planning, tool usage, multi-agent, etc.).
- Experience with RAG and vector databases (Pinecone, Weaviate, Chroma, FAISS, etc.).
Optional:
- Experience with other agentic frameworks (CrewAI, AutoGen, LlamaIndex, etc.).
- Worked with both online (API-based) and offline (on-prem) models.
- Knowledge of GPU deployment, optimization (LoRA, quantization), and scaling.
- Experience with application development using Next.js.
Outcomes & Opportunities- Directly contribute to an AI platform that will be used both in Turkey and globally.
- Take part in projects that shape the future of enterprise AI solutions.
- Gain hands-on experience with cutting-edge LLM and agentic AI technologies.
- Career development opportunities in AI, including continuous learning and specialization.
- Remote working model with flexibility and international collaboration.
Why Join Us?- Opportunity to work on impactful AI solutions in both enterprise and startup projects.
- Work with modern technologies and the open-source ecosystem.
- Be part of a small but fast-moving and focused team.
- Long-term career growth with global impact.
- Remote working environment and flexible culture.
- Continuous improvement with access to AI-focused training and career growth programs.
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