




Job Summary: The candidate will develop innovative solutions based on Generative Artificial Intelligence, focusing on Large Language Models (LLMs), LangChain, and prompt engineering, engaging in research, prototyping, and implementation of internal AI-powered products to accelerate and transform development workflows. Key Highlights: 1. Develop innovative solutions using Generative AI, LLMs, and LangChain. 2. Research, prototype, and implement internal AI products. 3. Design intelligent pipelines and optimize advanced prompts. Develop innovative solutions based on Generative Artificial Intelligence, with a focus on Large Language Models (LLMs), LangChain, and prompt engineering. The candidate will join a technical team responsible for researching, prototyping, and implementing internal AI-powered products to accelerate and transform development, documentation, and process automation workflows.* ️ Responsibilities * Design and develop intelligent pipelines using LLMs (e.g., GPT, Claude, Gemini, Llama) * Create and optimize advanced, structured prompts for various scenarios * Build chains and autonomous agents using LangChain or similar frameworks * Apply Retrieval-Augmented Generation (RAG) techniques and integrate with vector databases * Evaluate performance, cost, and accuracy of different language models * Collaborate with internal engineering teams to integrate solutions into existing systems * Create technical documentation, tests, and best practices for GenAI usage Required Skills * LLM (Large Language Models) – deep understanding and practical application * LangChain – pipeline, agent, and memory chain development * Prompt Engineering – prompt structuring, few-shot learning, prompt optimization * Chains – composition of complex decision flows and prompt orchestration Desired Knowledge * Python or TypeScript for integration with AI APIs * Experience with OpenAI API, Claude API, Gemini, Hugging Face * Familiarity with LangGraph, LlamaIndex, or Semantic Kernel * Vector storage (FAISS, Chroma, Pinecone, Weaviate) * Best practices in version control (Git) and CI/CD * Understanding of RAG, function calling, and multi-agent orchestration Differentiators * Experience with LangFuse, Promptfoo, or OpenDevin * Open-source contributions to GenAI projects * Experience in product engineering or internal AI platforms *


