We are a well-funded, early-stage startup, seeking a talented and motivated AI Engineer to join our team. The focus of this role is to develop advanced AI agents aimed at automating and optimizing low-skill human tasks, with a special emphasis on document processing, data extraction, text and email comprehension, and related workflows. You will be responsible for researching, designing, and deploying AI solutions that can replace repetitive manual tasks, improving efficiency and scalability for organizations.
Key Responsibilities:
AI Agent Development:
- Design, develop, and implement AI agents using best of breed LLMs to automate document processing tasks across enterprise workflows.
Workflow Automation:
- Build machine learning pipelines to automate content-heavy processes for enterprise businesses.
Model Optimization:
- Fine-tune and optimize pre-trained LLMs to accurately interpret, classify, and process large volumes of documents, improving speed and accuracy.
Collaboration:
- Partner with product, engineering, and business teams to identify high-value automation opportunities and integrate AI-driven solutions into our operations.
Evaluation & Testing:
- Develop metrics and conduct extensive testing to ensure reliability and efficiency of the AI systems in real-world scenarios.
Qualifications:
- 5+ years of experience as a software engineer or data scientist building production systems.
- 2+ years of experience with large language models and NLP techniques.
- Background in developing AI agents for content heavy tasks.
- Experience with multiple LLM Vendors, RAG or Fine Tuning OSS or Commercial models.
Technical Skills:
- Proficiency in Python and machine learning libraries such as TensorFlow or PyTorch.
- Deep understanding of LLM architectures and NLP applications like entity recognition, document classification, and summarization.
- Experience with model grounding techniques, retrieval-augmented generation (RAG), and deploying robust AI models in production environments.
- Skills in designing and deploying AI models through APIs, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure).
- Understanding of best practices for continuous monitoring, evaluation, and iterative improvement of deployed models.
Skills Required
- 5+ years of experience as a software engineer or data scientist building production systems
- 2+ years of experience with large language models and NLP techniques
- Background in developing AI agents for content heavy tasks
- Experience with multiple LLM Vendors, RAG or Fine Tuning OSS or Commercial models
- Proficiency in Python and machine learning libraries such as TensorFlow or PyTorch
- Deep understanding of LLM architectures and NLP applications
- Experience with model grounding techniques, retrieval-augmented generation (RAG)
- Skills in designing and deploying AI models through APIs, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure)
- Understanding of best practices for continuous monitoring and evaluation of deployed models
What We Do
Team8 is a global venture group with deep domain expertise that creates companies and invests in companies specializing in enterprise technologies, cyber, AI, fintech and digital health. Leveraging an in-house, multi-disciplinary team of company-builders integrated with a dedicated community of C-level executives and thought leaders, Team8’s model is designed to outline big problems, ideate solutions, and help accelerate success through technology, market fit and talent acquisition. Team8’s leadership team represents serial entrepreneurs, industry pioneers and the former leadership of Israel’s elite tech and intelligence Unit 8200. Founded in 2014, Team8 is backed by global companies including Microsoft, Walmart, Cisco, Barclays and Moody’s, among others. To learn more about Team8 visit www.team8.vc
