Generative AI Engineer
MeeBoss · United States · Today
RemoteRemoteEngineering$70k–$90k/yrFull-time
About the job MeeBoss is sharing this active opportunity on behalf of Innovyan LLC. This role involves designing, developing, and deploying innovative Generative AI applications to solve real-world business and customer problems. The position requires strong software engineering fundamentals and hands-on experience building applications powered by large language models (LLMs), AI agents, and modern machine learning technologies. Job title AI Engineer Company MeeBoss Location Remote Compensation $70,000-90,000/year What you will do Design and develop Generative AI applications using LLMs and modern AI frameworks.Build AI-powered features including conversational assistants, intelligent automation, document processing, and AI agents.Develop and integrate LLM APIs, embeddings, vector databases, and retrieval-augmented generation (RAG) pipelines.Create effective prompting strategies and evaluate model outputs for accuracy, relevance, and reliability.Develop scalable APIs and backend services to support AI applications.Integrate AI solutions with existing products, platforms, and third-party services.Implement evaluation, monitoring, logging, and guardrails for production AI systems.Optimize AI applications for performance, scalability, cost, and latency.Collaborate with product managers, designers, data scientists, and software engineers to deliver end-to-end AI solutions.Stay current with advancements in Generative AI, LLMs, agentic systems, and machine learning. What we are looking for Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.Experience developing software applications using Python or another modern programming language.Hands-on experience working with Generative AI, LLMs, or machine learning applications.Experience with REST APIs, cloud platforms, databases, and software development best practices.Understanding of prompt engineering, embeddings, vector search, and RAG architectures.Strong problem-solving and debugging skills.Ability to work effectively in a fast-paced, collaborative technology environment.Experience with OpenAI, Anthropic, Google Gemini, or other foundation-model APIs.Experience with frameworks such as LangChain, LlamaIndex, or similar AI application frameworks.Familiarity with vector databases such as Pinecone, Weaviate, Milvus, or pgvector.Experience building AI agents and tool-using LLM applications.Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.Familiarity with Docker, CI/CD, Kubernetes, or other modern deployment technologies.Experience with AI evaluation, observability, safety, and responsible AI practices. About MeeBoss MeeBoss helps job seekers and hiring teams make direct, relevant career connections.