Generative AI Orchestration Specialist
Há 4 dias
We're a company that's revolutionizing the way enterprises operate by harnessing the power of AI. Our mission is to empower businesses to redesign their processes and make the most of their people and technology.
Job SummaryWe're seeking a highly skilled Generative AI Orchestration Engineer to join our team. As a key member of our AI engineering team, you'll be responsible for designing, building, and optimizing our generative AI systems. Your expertise will be crucial in developing and deploying AI solutions that drive business value.
Key Responsibilities- Develop and implement AI kernels to ensure robust and efficient task management within the AI system.
- Create and optimize AI broker frameworks for intelligent model selection and invocation, maximizing performance and cost-effectiveness.
- Build and manage AI gateways to integrate various data sources and develop function-calling capabilities.
- Enhance cognitive architectures to implement advanced AI features such as working memory, planning, and problem-solving capabilities.
- Develop agent frameworks to enable the AI to operate semi-independently, executing high-level instructions.
- Design and deploy preconfigured modules for specific applications, including document extraction, coding sandbox, and chat functionalities.
- Implement learning frameworks to allow the AI system to improve automatically over time, incorporating feedback and new data.
- At least 5+ years of experience in software engineering with a focus on AI and machine learning.
- Proven experience in designing and developing systems incorporating large language models (LLMs).
- Familiarity with OpenAI GPT, Google Gemini, or Anthropic Claude APIs and SDKs, with a plus for Llama.
- Strong programming skills in TypeScript and experience with backend workflows and API development.
- Experience with advanced asynchronous programming techniques and SQL development, with a plus for Postgres.
- Familiarity with embedding models, vector embeddings, vector similarity, and vector indexes, with a plus for pgvector.
- Experience with Docker and Kubernetes, as well as at least one cloud platform (Azure, AWS, or GCP).
- Experience with infrastructure as code (IaC) and Terraform is a plus.
- Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with relevant certifications in AI/ML technologies a plus.
- Advanced degree: Master's in Computer Science, AI, or a related field.
- Industry knowledge: Experience in specific industries such as healthcare, finance, customer service, etc., to tailor AI solutions to industry-specific needs.
- Demonstrated ability to effectively use AI in daily work via ChatGPT, Github Copilot, or similar.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Strong organizational and time management skills.
- Competitive benefits.
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