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1198 results (24 new)

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AI / LLM Engineer

Conquest Tech Solutions Inc

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

AI / LLM Engineer with Google Cloud Platform - Remote

3AMIGOSIT LLC

Remote • Today

Easy Apply

Contract

AI LLM Engineer

Boehringer Ingelheim Pharmaceuticals, Inc

Ridgefield, Connecticut • 6d ago

Full-time

USD 115,000.00 - 222,000.00 per year

Senior AI/LLM Engineer

Censys

Remote • Today

Full-time

USD 179,000.00 per year

AI/LLM Engineer

NTT DATA, Inc.

Charlotte, North Carolina • Today

Full-time

Generative AI/LLM Engineer

Public Storage, Inc.

Frisco, Texas • Today

Full-time

Senior AI/ML Engineer (LLM & Generative AI)

Zolon Tech Solutions Inc

Remote • Yesterday

Easy Apply

Third Party, Contract

Depends on Experience

AI Agents Engineer (LLM/ OpenAI/ RAG)

SAI Systems Intl., Inc.

Remote • 7d ago

Easy Apply

Contract

40 - 45

Senior Lead AI Engineer (LLM Customization and Finetuning)

Capital One

New York, New York • Today

Full-time

Senior Lead AI Engineer (LLM Customization and Finetuning)

Capital One

McLean, Virginia • Today

Full-time

Senior Lead AI Engineer (LLM Gateway, FM Hosting)

Capital One

New York, New York • Today

Full-time

Senior Lead AI Engineer (LLM Gateway, FM Hosting)

Capital One

McLean, Virginia • Today

Full-time

AI Security & LLM Engineer

AnaVation LLC

Reston, Virginia • Today

Full-time

Sr. / Lead AI LLM Ops Engineer

People Force Consulting Inc

Edina, Minnesota • Today

Easy Apply

Contract, Third Party

Backend Node.js Engineer - AI/LLM Integration

Randstad Digital

Sunnyvale, California • Today

Contract

USD65 - USD70

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home - M

Next Step Systems

Remote • Today

Easy Apply

Full-time

$130,000 - $175,000

Machine Learning Engineer - AI Evaluation & LLM Systems

Apple, Inc.

Cupertino, California • Today

Full-time

Prompt Engineer AI Specialist in LLM & AI Platforms

Smart Caliber Technology

Hybrid in Milton, Georgia • 2d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior Machine Learning Engineer - Boston - Rag/Ai/LLM

Motion Recruitment Partners, LLC

Boston, Massachusetts • Today

Easy Apply

Contract

$80 - $90

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

Capital One

McLean, Virginia • Today

Full-time

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

Capital One

New York, New York • Today

Full-time

AI Infra Engineer Graduate (Recommendation & LLM) - 2027 Start

TikTok

San Jose, California • Today

Full-time

USD 128,000.00 - 316,800.00 per year

AI Infra Engineer Graduate (Recommendation & LLM) 2027 Start (PhD)

TikTok

San Jose, California • Today

Full-time

USD 162,000.00 - 387,600.00 per year

Senior Applied AI Engineer 3 - (Python, LLMs, RAG)

Akina, Inc.

Annapolis, Maryland • Today

Full-time

USD 241,000.00 - 295,000.00 per year

Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)

Capital One

McLean, Virginia • Today

Full-time

Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)

Capital One

New York, New York • Today

Full-time

Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)

Capital One

Richmond, Virginia • Today

Full-time

LLM & Agentic AI Machine Learning Software Engineer, TikTok - Content Ecology Local Services

TikTok

San Jose, California • Today

Full-time

USD 162,000.00 - 387,600.00 per year

AI/LLM Eng

Cliff Services Inc

Jersey City, New Jersey • Today

Easy Apply

Contract

LLM / Agentic AI / Full-Stack AI Engineering

Kasmo Inc.

Hybrid in Jersey City, New Jersey • 22d ago

Easy Apply

Full-time

50 - 65

Job Details

Skills

* Languages: Python
REST API
Pandas
NumPy* Cloud and infrastructure: AWS Services and/or GCP
Kubernetes
Bedrock* Distributed systems: event-driven architectures
including Kafka* Orchestration Frameworks: LangGraph
LangChain
AirFlow
etc.* Vector Databases like Qdrant

Summary

AI Staff Engineer 100% Remote Location : St.

Detailed job description - Skill Set:, Lead technical strategy for AI/LLM systems across multiple products

Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production
Set the standards for AI safety, evaluation, observability, and responsible rollout in a regulated context
Mentor Junior-level engineers into strong AI engineers; Employ AI Native development skills to multiply the productivity (Claude, etc.)
Lead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the team
Design, develop, and maintain scalable Python applications and backend services.
Build systems that ingest, validate, transform, and manage structured and unstructured data in production environments.
Design data models and storage solutions that support scalable, high-performance applications.
Develop reusable components for data processing, validation, enrichment, and feature generation.

Mandatory Skills, Education:

Bachelor s degree in computer science, Engineering, Data Science, or a related quantitative field

Mandatory Skills:*

8 years of hands-on experience in machine learning, data science, search relevance, or ranking systems.
Proven expertise in Python and ML frameworks (MLFlow, TensorFlow, PyTorch, Scikit-learn, or equivalent).
Strong background in statistical analysis, data exploration, and working with large-scale datasets.
Experience with feature engineering, data preprocessing, and data.

Core engineering stack

* Languages: Python, REST API, Pandas, NumPy
* Cloud and infrastructure: AWS Services and/or Google Cloud Platform, Kubernetes, Bedrock
* Distributed systems: event-driven architectures, including Kafka
* Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc.
* Vector Databases like Qdrant

Preferred Skills:

10+ years of software engineering experience, with deep recent time leading production AI/LLM systems
Seasoned hands-on coder; still writes production Python regularly
Seasoned system designer for AI systems at scale retrieval, agents, evaluation, latency, and cost, vector databases/pipelines
Strong experience building and maintaining production-grade backend applications.
Experience designing and developing RESTful APIs and distributed systems.
Strong SQL skills and experience working with relational databases; familiarity with NoSQL databases or modern data storage technologies is a plus.
Solid understanding of data engineering fundamentals, including data quality, validation, transformation, modeling, and efficient storage.
Experience designing systems that process large datasets reliably and efficiently.
Experience with cloud platforms such as Google Cloud Platform (Google Cloud Platform) or AWS.
Experience using Docker, Git, CI/CD pipelines, automated testing frameworks, and modern software engineering best practices.

Nice to have Skills:

Experience with Kubernetes and container orchestration.
Familiarity with event-driven architectures and messaging platforms such as Kafka.
Familiarity with ML model deployment and inference pipelines

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1d590a
Position Id: AI-LLM- Engg
Posted 3 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Anju Sultana

Recruiter @ Conquest Tech Solutions Inc

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Job Description Responsibilities Architect, design, develop, deploy, and operate production-grade AI systems powered by LLMs, agents, retrieval, and enterprise data. Build agentic AI systems that leverage tool use, memory, planning, orchestration, and workflow automation to solve complex business problems. Design and implement scalable RAG, search, retrieval, ranking, and knowledge systems across structured and unstructured data sources. Develop LLM-powered applications, including prompt and co

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Lead Specialist, AI Scientist

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Lead Specialist, AI Scientist Location: Remote, United States About the Role We are seeking a strategic and hands-on Lead Specialist- AI Scientist to design, build, deploy, and scale production AI/ML capabilities that power Pearson's learner intelligence, knowledge graphs, recommendations, personalized learning experiences, and next-generation AI products. This role bridges AI research, data science, software engineering, and product delivery. The successful candidate will lead the development o

Full-time

USD 150,000.00 - 190,000.00 per year

AI Solutions Architect (Forward Deployed Engineer)

Remote or Cincinnati, Ohio

•

Today

AI Solutions Architect (Forward Deployed Engineer)Location: Cincinnati, OH (Local Preferred; Open to Strong Remote Candidates) Introduction: Our client is expanding its AI capabilities and seeking a Forward Deployed Engineer who combines the mindset of an AI Solutions Architect with the hands-on ability to design, build, and deploy production-grade AI systems. This role will align with one of two high-impact teams based on experience and business needs. Responsibilities:AI Solution Architecture

Easy Apply

Full-time

Depends on Experience

Job Details

Skills

* Languages: Python
REST API
Pandas
NumPy* Cloud and infrastructure: AWS Services and/or GCP
Kubernetes
Bedrock* Distributed systems: event-driven architectures
including Kafka* Orchestration Frameworks: LangGraph
LangChain
AirFlow
etc.* Vector Databases like Qdrant

Summary

AI Staff Engineer 100% Remote Location : St.

Detailed job description - Skill Set:, Lead technical strategy for AI/LLM systems across multiple products

Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production
Set the standards for AI safety, evaluation, observability, and responsible rollout in a regulated context
Mentor Junior-level engineers into strong AI engineers; Employ AI Native development skills to multiply the productivity (Claude, etc.)
Lead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the team
Design, develop, and maintain scalable Python applications and backend services.
Build systems that ingest, validate, transform, and manage structured and unstructured data in production environments.
Design data models and storage solutions that support scalable, high-performance applications.
Develop reusable components for data processing, validation, enrichment, and feature generation.

Mandatory Skills, Education:

Bachelor s degree in computer science, Engineering, Data Science, or a related quantitative field

Mandatory Skills:*

8 years of hands-on experience in machine learning, data science, search relevance, or ranking systems.
Proven expertise in Python and ML frameworks (MLFlow, TensorFlow, PyTorch, Scikit-learn, or equivalent).
Strong background in statistical analysis, data exploration, and working with large-scale datasets.
Experience with feature engineering, data preprocessing, and data.

Core engineering stack

* Languages: Python, REST API, Pandas, NumPy
* Cloud and infrastructure: AWS Services and/or Google Cloud Platform, Kubernetes, Bedrock
* Distributed systems: event-driven architectures, including Kafka
* Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc.
* Vector Databases like Qdrant

Preferred Skills:

10+ years of software engineering experience, with deep recent time leading production AI/LLM systems
Seasoned hands-on coder; still writes production Python regularly
Seasoned system designer for AI systems at scale retrieval, agents, evaluation, latency, and cost, vector databases/pipelines
Strong experience building and maintaining production-grade backend applications.
Experience designing and developing RESTful APIs and distributed systems.
Strong SQL skills and experience working with relational databases; familiarity with NoSQL databases or modern data storage technologies is a plus.
Solid understanding of data engineering fundamentals, including data quality, validation, transformation, modeling, and efficient storage.
Experience designing systems that process large datasets reliably and efficiently.
Experience with cloud platforms such as Google Cloud Platform (Google Cloud Platform) or AWS.
Experience using Docker, Git, CI/CD pipelines, automated testing frameworks, and modern software engineering best practices.

Nice to have Skills:

Experience with Kubernetes and container orchestration.
Familiarity with event-driven architectures and messaging platforms such as Kafka.
Familiarity with ML model deployment and inference pipelines

Dice Id: RTX1d590a
Position Id: AI-LLM- Engg
Posted 3 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Anju Sultana

Recruiter @ Conquest Tech Solutions Inc

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Engineer

Remote

•

Today

Easy Apply

Full-time

Depends on Experience

REMOTE -Principal Software Developer- Agentic AI, Healthcare AI

Remote

•

Today

Full-time

USD 114,600.00 - 234,600.00 per year

Lead Specialist, AI Scientist

Remote

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Today

Full-time

USD 150,000.00 - 190,000.00 per year

AI Solutions Architect (Forward Deployed Engineer)

Remote or Cincinnati, Ohio

•

Today

Easy Apply

Full-time

Depends on Experience