Top 19 llama text embedding Jobs

Lead AI Engineer
Lyric —Remote
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- Full-time
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- 7 years
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Conversational AI Engineer
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Lead AI Engineer
Software Technology Inc —Austin, TX
- Contract
- 5 years
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- Email
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Senior ML Engineer
Waystar —Lehi, UT
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Senior ML Engineer I
Waystar —Atlanta, GA
- Full-time
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Data Science - AI Document Understanding, Co-op
Ancestry.com —Remote
- Part-time
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Natera —Austin, TX
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Lead AI Engineer

Lyric -
Remote

Apply Now

Job Details

Full-time
$216,417 - $324,625 a year

Qualifications

AI models
Software engineering
Text mining tools
Team leadership
Generative models
Application deployment
Public Cloud
AI platforms (beyond public GPTs)
Computational framework
Classification analysis
Production systems
Machine intelligence
Model deployment
Version control systems
Continuous integration
OCR
Leading team collaboration initiatives
Text classification
System deployment
Machine learning libraries
Machine learning frameworks
MLOps
Data extraction

Full Job Description

Lyric is an AI-first, platform-based healthcare technology company, committed to simplifying the business of care by preventing inaccurate payments and reducing overall waste in the healthcare ecosystem, enabling more efficient use of resources to reduce the cost of care for payers, providers, and patients. Lyric, formerly ClaimsXten, is a market leader with 35 years of pre-pay editing expertise, dedicated teams, and top technology. Lyric is proud to be recognized as 2025 Best in KLAS for Pre-Payment Accuracy and Integrity and is HI-TRUST and SOC2 certified, and a recipient of the 2025 CandE Award for Candidate Experience. Interested in shaping the future of healthcare with AI? Explore opportunities at lyric.ai/careers and drive innovation with #YouToThePowerOfAI.

The Lead AI Engineer will drive the development of intelligent systems that extract and structure data from unstructured documents such as PDFs, scanned forms, and free-text content. This role will lead the design and deployment of advanced machine learning and generative AI solutions, with a particular emphasis on language models (SLM/LLMs) and their application to document understanding and data extraction at scale.

ESSENTIAL JOB RESPONSIBILITIES & KEY PERFORMANCE OUTCOMES

Lead the architecture, development, and deployment of AI/ML systems for document ingestion, understanding, and data extraction.
Build and create good datasets and a system of good validation and verifications of data and ML systems.
Build and fine-tune LLMs and generative AI models to interpret, summarize, and extract information from complex unstructured content.
Develop NLP pipelines leveraging techniques such as OCR, entity recognition, text classification, summarization, and semantic parsing.
Integrate LLMs with retrieval systems (RAG), vector databases, and structured outputs suitable for downstream consumption.
Collaborate cross-functionally to align technical solutions with product requirements and compliance needs.
Mentor a team of AI/ML engineers, establish best practices in model training, evaluation, and monitoring.
Stay abreast of the latest advancements in generative AI and apply cutting-edge techniques to real-world document challenges.

REQUIRED QUALIFICATIONS

Minimum of seven (7) years of experience in AI/ML engineering, with at least three (3) years in a technical or team leadership role
Previous Technical Leadership in the AI/ML leadership space
Hands-on experience building and deploying S/LLMs or generative AI applications (e.g., using Llama, Deepseek or similar frameworks)
Proven track record of extracting structured data from unstructured document sources, including scanned forms, free-text reports, and complex layouts
Strong software engineering skills in Python and ML frameworks (e.g., Kubeflow, PyTorch, multi-agentic frameworks)
Experience with OCR technologies (e.g., Tesseract, Amazon Textract), NLP techniques, and model deployment in production environments
Deep understanding of NLP methods including embeddings, transformers, named entity recognition (NER), and text classification
Familiarity with MLOps, version control, CI/CD, and cloud platforms (AWS, GCP, or Azure)

PREFERRED QUALIFICATIONS

Experience implementing retrieval-augmented generation (RAG), prompt engineering, or fine-tuning foundation models
Familiarity with vector databases (e.g., Postgres-pg-vector, Pinecone, FAISS, Weaviate) and semantic search
Strong experience shipping production ML systems with a track record of monitoring and improving the ML systems
Experience working in regulated domains such as healthcare, legal, or finance

***The US base salary range for this full-time position is:

$216,417.00 - $324,625.00

The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation. ***

Lyric is an Equal Opportunity Employer that strives to create an inclusive environment, empower employees and embrace collaborative success.

Apply Now

Refine Your Search

llama text embedding jobs

Lead AI Engineer

Conversational AI Engineer

Lead AI Engineer

LLM Engineer - (Hybrid- Greenfield AI Project)

Associate Director - AI Engineering

Senior Data Scientist

Senior ML Engineer

Software Engineer IV - AI

Senior ML Engineer I

Data Science - AI Document Understanding, Co-op

Associate Principal/Forensic AI Engineer (Forensic Services practice)

Sr AI/Agentic Engineer

Lead AI Architect, Salesforce Service Cloud & AWS

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