AI Developer / AI Engineer – Agentic AI, LLM & Predictive Analytics
# AI Developer / AI Engineer – Agentic AI, LLM & Predictive Analytics **KATBOTZ** · United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-Developer]` `[AI-Engineer]` `[Machine-Learning-Engineer]` `[LLM-Engineer]` `[Generative-AI-Engineer]` `[Agentic-AI-Engineer]` `[Agentic-AI-Developer]` `[AI-Agentic-Developer]` `[Agentic-Development-Engineer]` `[AI-Agentic-Systems-Engineer]` `[AI-Agentic-Engineer]` `[AI-Development-Engineer]` --- ### About the Role This is a remote position. AI Developer / AI Engineer – Agentic AI, LLM & Predictive Analytics Job Summary We are looking for an AI Developer with hands-on experience in Agentic AI systems, Large Language Models (LLMs), and Predictive AI/ML models . The candidate will be responsible for designing, developing, and deploying AI solutions including autonomous agents, chatbots, predictive models, and AI automation tools to support business operations and product development. Key Responsibilities - Develop and deploy Agentic AI systems using frameworks like LangChain, CrewAI, AutoGen, etc. - Build applications using Large Language Models (OpenAI, Claude, Llama, etc.) - Design and implement Predictive AI / Machine Learning models - Develop AI chatbots, automation tools, and AI assistants - Work on RAG (Retrieval Augmented Generation) systems - Integrate AI solutions with web applications, CRMs, and enterprise systems - Fine-tune and optimize LLM models - Work with structured and unstructured data - Deploy AI models on cloud platforms (AWS, Azure, GCP) - Collaborate with business and product teams to identify AI use cases Requirements Required Skills - Python - Machine Learning (Regression, Classification, Clustering) - Predictive Modeling - LLM APIs (OpenAI, Anthropic, HuggingFace) - LangChain / CrewAI / AutoGen - Vector Databases (Pinecone, Weaviate, FAISS, Chroma) - RAG Architecture - Prompt Engineering - API Development - Data Processing (Pandas, NumPy) - Git / Version Control Preferred Skills - Fine-tuning LLM models - AI Agents / Multi-Agent Systems - NLP (Natural Language Processing) - MLOps - Docker / Kubernetes - Cloud AI Services - Knowledge Graphs - AI Automation Workflows Experience Required 3–6 Years in AI/ML development OR 2+ Years specifically in LLM / Generative AI / Agentic AI Education - B.Tech / M.Tech / MCA / MS in Computer Science, AI, Data Science or related field Benefits Originally posted on Himalayas
- AI-Developer
- AI-Engineer
- Machine-Learning-Engineer
- LLM-Engineer
- Generative-AI-Engineer
- Agentic-AI-Engineer
- Agentic-AI-Developer
- AI-Agentic-Developer
- Agentic-Development-Engineer
- AI-Agentic-Systems-Engineer
- AI-Agentic-Engineer
- AI-Development-Engineer
Наблюдалась 2026-10-08, впервые 2026-10-08, источник — Himalayas (JSON API).