GEN AI Engineer

OverviewWe are seeking a talented and innovative AI Developer to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with experience in developing and deploying AI models. This role requires proficiency in various programming languages and frameworks, as well as a deep understanding of data processing and analytics. The successful candidate will contribute to cutting-edge projects that leverage AI technologies to solve complex problems. Strong programming skills in Python, including OOP principles and production-level code design. • Demonstrated experience with prompt engineering techniques for large language models (LLMs) like GPT models, Claude, Gemini, or open-source equivalents. • Deep understanding of AI agent concepts including memory management, planning, tool use, autonomous task execution, and evaluation metrics. • Working knowledge of multi-agent orchestration frameworks, preferably LangGraph, but experience with Autogen, CrewAI, or similar is also valuable. • Experience with vector databases (e.g., Azure AI Search, Pinecone, FAISS, Chroma) for embedding storage and semantic search. • Understanding of ETL processes and data transformation pipelines in both batch and streaming architectures. • Familiarity with NoSQL databases, specifically CosmosDB, and designing scalable schemas for AI-driven systems. • Proficiency with Git/GitHub, including use of Gitflow or similar collaborative workflows. • Demonstrated ability to stay current on the latest GenAI models, protocols (e.g., OpenAI Assistants, Function Calling, LangChain Agents), and research trends. Preferred Qualifications Experience deploying agents in cloud environments (Azure, AWS, or GCP). Familiarity with model fine-tuning, embeddings generation, and OpenAI plugin/tool calling. Exposure to observability and evaluation techniques for AI systems (e.g., human-in-the-loop, automated feedback loops). Plus - Contributions to open-source AI projects or publications in the field. Python Prompt engineering Understanding of AI agents Understanding of vector databases Understanding of current events in the GenAI field (most up to date models, ideally also awareness of how to use non-OpenAI models like Gemini and Claude) Understanding of LangGraph (Ideally Autogen) Understanding of CosmosDB and NoSQL Bonus: AngularJS and Typescript (just for some specific use cases we're looking into right now, but really not required) Job Type: Contract Pay: $55.84 - $65.61 per hour Expected hours: 8 per week Benefits: Health insurance Paid time off Vision insurance Work Location: Remote