Generative AI Engineer

About the role

Design, develop, and deploy innovative Generative AI applications to solve real-world business and customer problems. This 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.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• 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.

Pay

$70,000-90,000/year