Design, build, and maintain AI-powered applications using large language models (LLMs) and modern ... Hands-on experience working with LLM APIs (OpenAI, Anthropic, Google, or similar) * Understanding ...
Design, build, and maintain AI-powered applications using large language models (LLMs) and modern ... Hands-on experience working with LLM APIs (OpenAI, Anthropic, Google, or similar) * Understanding ...
Experience using and critically reviewing code and artifacts generated by large language model (LLM) coding assistants and agentic tools * Ability to to effectively guide AI tools to achieve desired ...
Experience using and critically reviewing code and artifacts generated by large language model (LLM) coding assistants and agentic tools * Ability to to effectively guide AI tools to achieve desired ...
Experience using and critically reviewing code and artifacts generated by large language model (LLM) coding assistants and agentic tools * Ability to to effectively guide AI tools to achieve desired ...
Experience using and critically reviewing code and artifacts generated by large language model (LLM) coding assistants and agentic tools * Ability to to effectively guide AI tools to achieve desired ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
Substantial quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data ...
Substantial quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data ...
Experience A strong foundation in core AI methodologies-machine learning, deep learning, NLP-coupled with hands-on expertise in Python, PyTorch, and large language model pipelines is essential.
Experience A strong foundation in core AI methodologies-machine learning, deep learning, NLP-coupled with hands-on expertise in Python, PyTorch, and large language model pipelines is essential.
AI Specialist
Fort Wayne, IN · On-site
Design, implement, and optimize AI solutions leveraging Microsoft Copilot and MedPro's LLM ... Knowledge of Microsoft Copilot, generative AI tools, or large language models through coursework ...
AI Specialist
Fort Wayne, IN · On-site
Design, implement, and optimize AI solutions leveraging Microsoft Copilot and MedPro's LLM ... Knowledge of Microsoft Copilot, generative AI tools, or large language models through coursework ...
Postdoctoral Fellow in Biostatistics & Health Data Science
$42.70K - $58K/yr
How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: * LLM-driven systems for ...
Postdoctoral Fellow in Biostatistics & Health Data Science
$42.70K - $58K/yr
How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: * LLM-driven systems for ...
Postdoctoral Fellow in Biostatistics & Health Data Science
Bloomington, IN · On-site
$45.30K - $61.50K/yr
How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: * LLM-driven systems for ...
Postdoctoral Fellow in Biostatistics & Health Data Science
Bloomington, IN · On-site
$45.30K - $61.50K/yr
How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: * LLM-driven systems for ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate ...
Entry Level Large Language Model Llm information
What are the key skills and qualifications needed to thrive as an Entry Level Large Language Model (LLM) Engineer, and why are they important?
To thrive as an Entry Level Large Language Model (LLM) Engineer, you need a solid background in computer science, machine learning fundamentals, and proficiency in programming languages like Python, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as PyTorch or TensorFlow), version control systems, and cloud computing platforms is often required. Strong analytical thinking, problem-solving skills, and effective communication set candidates apart in this role. These competencies are crucial for developing, fine-tuning, and deploying LLMs to ensure innovative and reliable AI solutions.
What types of projects do entry-level professionals working with Large Language Models (LLMs) typically contribute to?
Entry-level professionals in LLM roles often support data preparation, model fine-tuning, and evaluation tasks under the guidance of more experienced engineers or data scientists. They may annotate data, help run experiments, monitor model outputs for quality, and assist in deploying models for internal testing or limited production use. Collaboration with cross-functional teams—including machine learning engineers, product managers, and research scientists—is common, offering valuable exposure to various stages of the LLM development lifecycle. This hands-on experience helps build foundational skills and prepares individuals for more advanced responsibilities in the field.
What is an Entry Level Large Language Model (LLM) role?
An Entry Level Large Language Model (LLM) role typically refers to positions where individuals work with advanced AI systems, like ChatGPT or similar models, to support tasks such as data annotation, model evaluation, prompt engineering, or customer support. Entry-level LLM professionals might help train models, test outputs for accuracy, or assist with basic research. These roles usually require strong analytical skills, attention to detail, and some familiarity with AI concepts, but do not always require advanced programming experience. They offer a great starting point for those interested in the field of artificial intelligence and natural language processing.
What is the difference between Entry Level Large Language Model Llm vs Data Analyst?
| Aspect | Entry Level Large Language Model Llm | Data Analyst |
|---|---|---|
| Required Credentials | Basic understanding of NLP, programming skills (Python), coursework or certifications in AI/ML | Bachelor's degree in Data Science, Statistics, or related field; often certifications in data analysis tools |
| Work Environment | Research labs, AI companies, tech startups; focus on model development and training | Business environments, consulting firms, finance, healthcare; focus on data interpretation and reporting |
| Industry Usage | AI development, NLP applications, machine learning research | Business intelligence, market analysis, operational insights |
Entry Level Large Language Model Llm roles focus on developing and training NLP models, requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve working with data, Llm positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.
What are the most commonly searched types of Large Language Model Llm jobs in Indiana? The most popular types of Large Language Model Llm jobs in Indiana are:
What are popular job titles related to Entry Level Large Language Model Llm jobs in Indiana? For Entry Level Large Language Model Llm jobs in Indiana, the most frequently searched job titles are:
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Full-time
Posted 17 days ago
Job description
Company Description
Circle Logistics is a third-party logistics (3PL) firm focused on delivering three core promises to our customers:
- No Fail Service
- Personalized Communication
- Innovative Solutions
We leverage technology, industry experience, and employee ingenuity to provide industry-leading transportation solutions that keep America moving.
Job Description
ABOUT THE ROLE
Circle Logistics is on the hunt for a curious, driven AI Applications Developer to join our growing technology team. You will help build the intelligent tools and integrations that keep our freight operations running smarter - from automating routine workflows to developing AI-powered features that our operations, sales, and carrier teams rely on every day.
This is a ground-floor opportunity to grow alongside a fast-scaling logistics company that is serious about technology. You will work directly with experienced engineers and business stakeholders, shipping real products from day one.
WHAT YOU'LL DO
Design, build, and maintain AI-powered applications using large language models (LLMs) and modern APIs
Integrate AI features into internal tools, customer-facing portals, and operational dashboards
Prototype and iterate on automation ideas - from prompt engineering to full-stack features
Collaborate with operations, carrier relations, and sales teams to understand pain points and translate them into AI solutions
Assist in evaluating, fine-tuning, and improving model outputs and application reliability
Write clean, well-documented code and participate in code reviews
Monitor deployed AI applications and troubleshoot issues as they arise
Stay current on rapidly evolving AI tools, frameworks, and best practices
Qualifications
WHAT WE'RE LOOKING FOR
Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent hands-on experience
Proficiency in Python and/or JavaScript/TypeScript
Hands-on experience working with LLM APIs (OpenAI, Anthropic, Google, or similar)
Understanding of REST APIs and how to integrate third-party services
Comfort with prompt engineering, RAG pipelines, or AI agent frameworks is a strong plus
Familiarity with Git, basic CI/CD practices, and collaborative development workflows
Strong problem-solving instincts and a bias toward shipping working software
Excellent communication skills - you can explain technical concepts clearly to non-technical teammates
NICE TO HAVE
Experience in logistics, supply chain, or transportation technology
Familiarity with vector databases, embeddings, or semantic search
Exposure to workflow automation platforms (e.g., Hubspot, Make, n8n, or similar)
Experience building internal tools or ops dashboards
Knowledge of SQL or basic data analysis
Additional Information
All your information will be kept confidential according to EEO guidelines.
About Circle Logistics
Sourced by ZipRecruiter
Industry
Trucking
Company size
51 - 200 Employees
Headquarters location
Fort Wayne, IN, US
Year founded
2011