AI Engineer
Join a well-funded startup as an AI Engineer to develop advanced AI agents for automating enterprise workflows.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 5 hours ago
Skills & Technologies
AI in the day-to-day
Develop AI agents to automate document processing tasks and improve efficiency in enterprise workflows.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the AI Engineer focuses on developing advanced AI agents to automate and enhance low-skill tasks, particularly in document processing and data extraction. Key skills include proficiency in Python, experience with large language models, and a solid understanding of machine learning frameworks like TensorFlow or PyTorch. This position is ideal for seasoned professionals with over five years in software engineering or data science, particularly those with a background in AI solutions for content-heavy workflows. Reindeer AI, an early-stage startup, emphasizes collaboration across teams to drive impactful automation.
Joblaze insights
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this AI Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Docker, GCP, Kubernetes, LLM.
- What seniority level is this role?
- Reindeer AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this AI Engineer role at Reindeer AI.
From the original posting
We are a well-funded, early-stage startup, looking for 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.
Your Impact
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.
What It Takes
Experience
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.
Standard company text repeated across Reindeer AI's postings is omitted here.
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