AI/LLM Engineer
Manhattan, NY · On-site
C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role requires strong Python engineering expertise and hands-on experience with modern agent ...
AI/LLM Engineer
Manhattan, NY · On-site
C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role requires strong Python engineering expertise and hands-on experience with modern agent ...
AI/LLM Engineer
Manhattan, NY · On-site
C. is looking for a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role involves developing advanced AI capabilities and ensuring the integration of AI ...
AI/LLM Engineer
Manhattan, NY · On-site
C. is looking for a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role involves developing advanced AI capabilities and ensuring the integration of AI ...
AI/LLM Engineer
New York, NY · On-site
$120K - $130K/yr
Key Responsibilities Agent & AI System Development • Design and build agent-based systems using ... Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter ...
AI/LLM Engineer
New York, NY · On-site
$120K - $130K/yr
Key Responsibilities Agent & AI System Development • Design and build agent-based systems using ... Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter ...
AI/LLM Engineer
Manhattan, NY · On-site
Tata Consultancy Services is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role involves developing systems that can reason, plan, and act ...
AI/LLM Engineer
Manhattan, NY · On-site
Tata Consultancy Services is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role involves developing systems that can reason, plan, and act ...
LLM Engineer
Northbrook, IL · On-site
$85K - $115K/yr
Our mission is simple: deliver life-changing, minimally invasive care, close to home. We're ... The LLM Engineer serves as the organization's AI technical lead responsible for designing ...
LLM Engineer
Northbrook, IL · On-site
$85K - $115K/yr
Our mission is simple: deliver life-changing, minimally invasive care, close to home. We're ... The LLM Engineer serves as the organization's AI technical lead responsible for designing ...
LLM Engineer
$85K - $115K/yr
Our mission is simple: deliver life-changing, minimally invasive care, close to home. We're ... The LLM Engineer serves as the organization's AI technical lead responsible for designing ...
LLM Engineer
$85K - $115K/yr
Our mission is simple: deliver life-changing, minimally invasive care, close to home. We're ... The LLM Engineer serves as the organization's AI technical lead responsible for designing ...
Senior AI/LLM Engineer
Irving, TX · On-site
$100K - $137K/yr
Title: Sr AI/LLM Engineer Location: Multiple Locations across (TX), (NC), (IN), (GA), (AZ) and (KS ... based agent design (40+ tool environments) Azure OpenAI / OpenAI APIs (GPT-4o, deployment mgmt, ...
Senior AI/LLM Engineer
Irving, TX · On-site
$100K - $137K/yr
Title: Sr AI/LLM Engineer Location: Multiple Locations across (TX), (NC), (IN), (GA), (AZ) and (KS ... based agent design (40+ tool environments) Azure OpenAI / OpenAI APIs (GPT-4o, deployment mgmt, ...
AI/LLM Engineer
Springfield, PA · On-site
As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging ...
AI/LLM Engineer
Springfield, PA · On-site
As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging ...
As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging ...
As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging ...
As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging ...
Quick apply
As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging ...
ML/LLM Engineer - Applied AI
Austin, TX · On-site
Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring ... Collaborate with product and engineering teams to build real-world applications in healthcare and ...
ML/LLM Engineer - Applied AI
Austin, TX · On-site
Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring ... Collaborate with product and engineering teams to build real-world applications in healthcare and ...
Develop Retrieval-Augmented Generation (RAG) systems using ontology-based knowledge * Build and maintain knowledge graphs and ontologies to support LLM applications * Fine-tune, prompt engineer, and ...
Develop Retrieval-Augmented Generation (RAG) systems using ontology-based knowledge * Build and maintain knowledge graphs and ontologies to support LLM applications * Fine-tune, prompt engineer, and ...
Develop Retrieval-Augmented Generation (RAG) systems using ontology-based knowledge * Build and maintain knowledge graphs and ontologies to support LLM applications * Fine-tune, prompt engineer, and ...
Develop Retrieval-Augmented Generation (RAG) systems using ontology-based knowledge * Build and maintain knowledge graphs and ontologies to support LLM applications * Fine-tune, prompt engineer, and ...
Journeyman LLM + Ontology Software Engineer
Omaha, NE · On-site
$92K - $105K/yr
Develop Retrieval-Augmented Generation (RAG) systems using ontology-based knowledge * Build and maintain knowledge graphs and ontologies to support LLM applications * Fine-tune, prompt engineer, and ...
Journeyman LLM + Ontology Software Engineer
Omaha, NE · On-site
$92K - $105K/yr
Develop Retrieval-Augmented Generation (RAG) systems using ontology-based knowledge * Build and maintain knowledge graphs and ontologies to support LLM applications * Fine-tune, prompt engineer, and ...
Journeyman LLM + Ontology Software Engineer
Omaha, NE · On-site
$92K - $105K/yr
Develop Retrieval-Augmented Generation (RAG) systems using ontology-based knowledge * Build and maintain knowledge graphs and ontologies to support LLM applications * Fine-tune, prompt engineer, and ...
Journeyman LLM + Ontology Software Engineer
Omaha, NE · On-site
$92K - $105K/yr
Develop Retrieval-Augmented Generation (RAG) systems using ontology-based knowledge * Build and maintain knowledge graphs and ontologies to support LLM applications * Fine-tune, prompt engineer, and ...
This is a Generative AI Engineer / LLM Engineer role with a strong focus on RAG (Retrieval ... Develop RAG-based chatbots and AI assistants * Fine-tune LLMs * Work with Python * Deploy AI ...
This is a Generative AI Engineer / LLM Engineer role with a strong focus on RAG (Retrieval ... Develop RAG-based chatbots and AI assistants * Fine-tune LLMs * Work with Python * Deploy AI ...
LLM Engineer (GenAI, NYC)
New York, NY · On-site
$150K - $230K/yr
... in LLM abilities on novel tasks with subjective outputs * Excellent software engineer with ... We use AI-based tools (such as Endorsed.ai and Juicebox.ai) to help us to accelerate candidates at ...
LLM Engineer (GenAI, NYC)
New York, NY · On-site
$150K - $230K/yr
... in LLM abilities on novel tasks with subjective outputs * Excellent software engineer with ... We use AI-based tools (such as Endorsed.ai and Juicebox.ai) to help us to accelerate candidates at ...
You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure ... Mentor and collaborate with LLM engineers on implementation and deployment Requirements ...
You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure ... Mentor and collaborate with LLM engineers on implementation and deployment Requirements ...
... based agent design (40+ tool environments)Azure OpenAI / OpenAI APIs (GPT-4o, deployment mgmt, rate ... LLM responsesGuardrails / PII redaction patternsMemory abstractions for agentsLangfuse (trace ...
... based agent design (40+ tool environments)Azure OpenAI / OpenAI APIs (GPT-4o, deployment mgmt, rate ... LLM responsesGuardrails / PII redaction patternsMemory abstractions for agentsLangfuse (trace ...
Generative AI/LLM Engineer
Frisco, TX · On-site
We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development ... Implement and integrate TTS (Text-to-Speech), STT (Speech-to-Text), and Whisper-based transcription ...
Generative AI/LLM Engineer
Frisco, TX · On-site
We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development ... Implement and integrate TTS (Text-to-Speech), STT (Speech-to-Text), and Whisper-based transcription ...
Home Based Llm Engineer information
What is the difference between Home Based Llm Engineer vs Data Scientist?
| Aspect | Home Based Llm Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Degree in Computer Science, AI, or related fields; experience with machine learning models | Degree in Data Science, Statistics, or related fields; proficiency in programming and analytics |
| Work Environment | Remote, focused on developing and fine-tuning language models | Remote or on-site, analyzing data and building predictive models |
| Industry Usage | AI companies, tech firms, research institutions | Tech, finance, healthcare, and various industries requiring data analysis |
Home Based Llm Engineers focus on developing and optimizing large language models remotely, while Data Scientists analyze data to generate insights. Both roles require strong technical skills and often work in similar industries, but their core responsibilities differ in model development versus data analysis.
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Full-time
Re-posted 15 days ago
Job description
Job Summary:
Scalence L.L.C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role requires strong Python engineering expertise and hands-on experience with modern agent frameworks to create systems that can reason, plan, and act autonomously.
Responsibilities:
• Agent & AI System Development
• Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar.
• Develop intelligent components capable of reasoning, planning, and executing tasks autonomously.
• Implement advanced cognitive patterns such as ReAct (Reasoning + Acting).
• Develop and integrate memory, tool usage, and context management capabilities (MCP).
• Build systems that leverage tool calling, chaining, and orchestration of LLM workflows.
• Collaborate with prompt engineers to enhance model responses and performance.
• Write high-quality, scalable code using Python (including async programming).
• Build and maintain APIs and microservices for AI/agent-based applications.
• Ensure systems are efficient, reliable, and production-ready.
• Design and implement guardrails and safety mechanisms for LLM-driven systems.
• Ensure robust handling of edge cases, failure scenarios, and unintended outputs.
• Work with modern data platforms such as: Snowflake, Databricks, Lakehouse Architectures.
• Integrate AI solutions with enterprise data pipelines and systems.
Qualifications:
Required:
• 8-10 Years of experience in AI/LLM Engineering
• Strong Python engineering expertise
• Hands-on experience with modern agent frameworks
• Solid understanding of data platforms and scalable architectures
• Experience in designing and building agent-based systems using frameworks such as LangChain, LangGraph, or similar
• Ability to develop intelligent components capable of reasoning, planning, and executing tasks autonomously
• Experience implementing advanced cognitive patterns such as ReAct (Reasoning + Acting)
• Ability to develop and integrate memory, tool usage, and context management capabilities (MCP)
• Experience building systems that leverage tool calling, chaining, and orchestration of LLM workflows
• Collaboration with prompt engineers to enhance model responses and performance
• Ability to write high-quality, scalable code using Python (including async programming)
• Experience building and maintaining APIs and microservices for AI/agent-based applications
• Ensuring systems are efficient, reliable, and production-ready
• Designing and implementing guardrails and safety mechanisms for LLM-driven systems
• Ensuring robust handling of edge cases, failure scenarios, and unintended outputs
• Experience working with modern data platforms such as Snowflake, Databricks, and Lakehouse Architectures
• Ability to integrate AI solutions with enterprise data pipelines and systems
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Scalence L.L.C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role requires strong Python engineering expertise and hands-on experience with modern agent frameworks to create systems that can reason, plan, and act autonomously.
Responsibilities:
• Agent & AI System Development
• Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar.
• Develop intelligent components capable of reasoning, planning, and executing tasks autonomously.
• Implement advanced cognitive patterns such as ReAct (Reasoning + Acting).
• Develop and integrate memory, tool usage, and context management capabilities (MCP).
• Build systems that leverage tool calling, chaining, and orchestration of LLM workflows.
• Collaborate with prompt engineers to enhance model responses and performance.
• Write high-quality, scalable code using Python (including async programming).
• Build and maintain APIs and microservices for AI/agent-based applications.
• Ensure systems are efficient, reliable, and production-ready.
• Design and implement guardrails and safety mechanisms for LLM-driven systems.
• Ensure robust handling of edge cases, failure scenarios, and unintended outputs.
• Work with modern data platforms such as: Snowflake, Databricks, Lakehouse Architectures.
• Integrate AI solutions with enterprise data pipelines and systems.
Qualifications:
Required:
• 8-10 Years of experience in AI/LLM Engineering
• Strong Python engineering expertise
• Hands-on experience with modern agent frameworks
• Solid understanding of data platforms and scalable architectures
• Experience in designing and building agent-based systems using frameworks such as LangChain, LangGraph, or similar
• Ability to develop intelligent components capable of reasoning, planning, and executing tasks autonomously
• Experience implementing advanced cognitive patterns such as ReAct (Reasoning + Acting)
• Ability to develop and integrate memory, tool usage, and context management capabilities (MCP)
• Experience building systems that leverage tool calling, chaining, and orchestration of LLM workflows
• Collaboration with prompt engineers to enhance model responses and performance
• Ability to write high-quality, scalable code using Python (including async programming)
• Experience building and maintaining APIs and microservices for AI/agent-based applications
• Ensuring systems are efficient, reliable, and production-ready
• Designing and implementing guardrails and safety mechanisms for LLM-driven systems
• Ensuring robust handling of edge cases, failure scenarios, and unintended outputs
• Experience working with modern data platforms such as Snowflake, Databricks, and Lakehouse Architectures
• Ability to integrate AI solutions with enterprise data pipelines and systems
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.