Senior GenAI Developer Analyst

Description

Job Summary: This role involves developing innovative solutions based on Generative Artificial Intelligence, with a focus on Large Language Models (LLMs), LangChain, and prompt engineering to accelerate and transform internal workflows. Key Highlights: 1. Developing innovative solutions with Generative AI, LLMs, and LangChain. 2. Designing and developing intelligent pipelines with LLMs and optimizing prompts. 3. Collaborating on integrating GenAI solutions into existing systems. Develop innovative solutions based on Generative Artificial Intelligence, focusing on Large Language Models (LLMs), LangChain, and prompt engineering. You will join a technical team responsible for researching, prototyping, and implementing internal products that leverage AI to accelerate and transform development workflows, documentation, and process automation.* ️ 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 – building pipelines, agents, and memory chains * Prompt Engineering – structuring prompts, few-shot learning, prompt optimization * Chains – composing complex decision flows and orchestrating prompts Desired Knowledge * Python or TypeScript for integration with AI APIs * Experience with OpenAI API, Claude API, Gemini, Hugging Face * Use of LangGraph, LlamaIndex, or Semantic Kernel * Vector storage (FAISS, Chroma, Pinecone, Weaviate) * Best practices in version control (Git) and CI/CD * Familiarity with RAG, function calling, and multi-agent orchestration Nice-to-Have * Experience with LangFuse, Promptfoo, or OpenDevin * Open-source contributions to GenAI projects * Experience in product engineering or internal AI platforms *