Senior Applied & Agentic AI Engineer
$101K - $139K/yr
... LLM and agentic AI systems that transform claims, risk, and operational workflows. · Define ... Python and enterprise API integration patterns. · Experience building secure, scalable ...
Senior Applied & Agentic AI Engineer
$101K - $139K/yr
... LLM and agentic AI systems that transform claims, risk, and operational workflows. · Define ... Python and enterprise API integration patterns. · Experience building secure, scalable ...
Senior Data Scientist: Associate AI Experience
$90K - $180K/yr
We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping ... Strong profiency in Python and common ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch ...
Senior Data Scientist: Associate AI Experience
$90K - $180K/yr
We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping ... Strong profiency in Python and common ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch ...
IT - Technology Architect | Data On Cloud - Platform | AWS
Saint Louis, MO · On-site
$60.50 - $79.50/hr
Preferred Qualifications • Experience with Python. • Exposure to LLM/AI-driven applications. • Experience with architecture governance, API strategy, and performance engineering Interview ...
IT - Technology Architect | Data On Cloud - Platform | AWS
Saint Louis, MO · On-site
$60.50 - $79.50/hr
Preferred Qualifications • Experience with Python. • Exposure to LLM/AI-driven applications. • Experience with architecture governance, API strategy, and performance engineering Interview ...
Senior Data Scientist: Associate AI Experience
$90K - $180K/yr
We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping ... Strong profiency in Python and common ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch ...
Senior Data Scientist: Associate AI Experience
$90K - $180K/yr
We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping ... Strong profiency in Python and common ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch ...
Principal AI Engineer, LLM, Snowflake, Cortex AI, natural language to SQL, semantic data modeling, data engineering, Python, SQL, enterprise AI Position Perks & Benefits: Paid time off: full-time ...
Principal AI Engineer, LLM, Snowflake, Cortex AI, natural language to SQL, semantic data modeling, data engineering, Python, SQL, enterprise AI Position Perks & Benefits: Paid time off: full-time ...
Senior Data Scientist: Associate AI Experience
Noel, MO · On-site
$90K - $180K/yr
We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping ... Strong profiency in Python and common ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch ...
Senior Data Scientist: Associate AI Experience
Noel, MO · On-site
$90K - $180K/yr
We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping ... Strong profiency in Python and common ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch ...
$80K - $110K/yr
... Python (preferred), Go, or C#, with exposure to scalable deployment architectures. * Experience in AI-first companies or research-driven product teams (e.g., conversational AI, LLM startups) is ...
$80K - $110K/yr
... Python (preferred), Go, or C#, with exposure to scalable deployment architectures. * Experience in AI-first companies or research-driven product teams (e.g., conversational AI, LLM startups) is ...
Sr. Infrastructure AI Automation Consultant
Saint Louis, MO · Hybrid
$102K - $139K/yr
You have proficiency in Python; experience with TypeScript, Go, or Rust is a plus. * You have a solid understanding of LLM APIs, function/tool calling, streaming, structured outputs, and token ...
Sr. Infrastructure AI Automation Consultant
Saint Louis, MO · Hybrid
$102K - $139K/yr
You have proficiency in Python; experience with TypeScript, Go, or Rust is a plus. * You have a solid understanding of LLM APIs, function/tool calling, streaming, structured outputs, and token ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
Orchestration Developer
Saint Louis, MO · On-site +1
$84K - $103K/yr
Familiarity with MCP, A2A protocols, Node.js, Python * Applicants must be authorized to work in the ... Familiarity with LLM integration, tool invocation, or RAG-based architectures * Experience building ...
Orchestration Developer
Saint Louis, MO · On-site +1
$84K - $103K/yr
Familiarity with MCP, A2A protocols, Node.js, Python * Applicants must be authorized to work in the ... Familiarity with LLM integration, tool invocation, or RAG-based architectures * Experience building ...
Hands-on experience with Python and backend tooling, with familiarity in API debugging and integration workflows. * Understanding of LLM ecosystems, including concepts such as Retrieval-Augmented ...
Hands-on experience with Python and backend tooling, with familiarity in API debugging and integration workflows. * Understanding of LLM ecosystems, including concepts such as Retrieval-Augmented ...
Senior AI/ML Engineer
Jefferson City, MO · Remote
$90 - $100/hr
... LLM orchestration, integration, and vLLM-based inference for document understanding. * Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering. * Strong Python ...
Senior AI/ML Engineer
Jefferson City, MO · Remote
$90 - $100/hr
... LLM orchestration, integration, and vLLM-based inference for document understanding. * Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering. * Strong Python ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Jefferson City, MO · Remote
$139K - $168K/yr
Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning and always improving yourself and the team ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Jefferson City, MO · Remote
$139K - $168K/yr
Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning and always improving yourself and the team ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Independence, MO · Remote
$139K - $168K/yr
Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning and always improving yourself and the team ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Independence, MO · Remote
$139K - $168K/yr
Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning and always improving yourself and the team ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Saint Louis, MO · Remote
$139K - $168K/yr
Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning and always improving yourself and the team ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Saint Louis, MO · Remote
$139K - $168K/yr
Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning and always improving yourself and the team ...
Python Llm information
What is a Python LLM job?
A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.
What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?
To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.
What are some common challenges faced by Python LLM Engineers in their daily work?
Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.
What are the most commonly searched types of Python Llm jobs in Missouri? The most popular types of Python Llm jobs in Missouri are:
What are popular job titles related to Python Llm jobs in Missouri? For Python Llm jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Missouri look for? The top searched job categories for Python Llm jobs in Missouri are:
What cities in Missouri are hiring for Python Llm jobs? Cities in Missouri with the most Python Llm job openings:
Sedgwick rating
7.5
Based on 308 frontline employees who took The Breakroom Quiz
186th of 261 rated insurance
Job description
By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies
Certified as a Great Place to Work®
Fortune Best Workplaces in Financial Services & Insurance
Senior Applied & Agentic AI Engineer
Job Responsibilities
· Lead the architecture and delivery of enterprise-grade LLM and agentic AI systems that transform claims, risk, and operational workflows.
· Define technical strategy for retrieval-augmented generation (RAG), multi-agent orchestration, and autonomous workflow automation.
· Design and implement advanced agentic systems capable of planning, reasoning, tool selection, execution, reflection, and recovery.
· Architect stateful, memory-aware AI systems that manage long-running claims processes across multiple touchpoints.
· Build multi-agent collaboration models that coordinate coverage analysis, document validation, fraud signals, compliance checks, and decision support.
· Establish orchestration frameworks that manage task routing, context persistence, structured outputs, and failure handling.
· Design secure tool integration layers connecting agents to claims systems, policy platforms, data warehouses, document repositories, and external data services.
· Implement deterministic guardrails, schema validation, and output verification pipelines to reduce hallucination and execution risk.
· Lead development of document intelligence systems leveraging LLMs for summarization, entity extraction, discrepancy detection, and structured data reconstruction.
· Define prompt engineering standards and reusable reasoning templates for consistent, domain-aware outputs.
· Oversee embedding strategies, vector indexing architecture, retrieval optimization, and knowledge grounding approaches.
· Design evaluation frameworks to measure reasoning depth, workflow completion accuracy, hallucination rates, latency, and cost efficiency.
· Implement observability layers that track agent decisions, tool usage, retrieval effectiveness, and drift across models and prompts.
· Drive optimization strategies for token efficiency, caching, batching, and inference scaling.
· Ensure compliance with Responsible AI principles, enterprise governance standards, audit requirements, and regulatory constraints.
· Partner with enterprise architecture, cybersecurity, and data governance teams to define secure deployment patterns.
· Mentor engineers on LLM orchestration patterns, workflow decomposition, and safe agent design.
· Translate executive-level business objectives into scalable AI platform capabilities.
· Lead proof-of-concepts through full production deployment with measurable ROI outcomes.
· Continuously evaluate emerging foundation models, orchestration frameworks, and agent tooling for enterprise readiness.
Qualifications
· Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
· 7-10+ years of experience in AI engineering, machine learning systems, or distributed software architecture.
· 3-5+ years designing and deploying LLM-powered systems in production environments.
· Demonstrated experience architecting full agentic AI systems with planning, reflection, memory, and tool execution components.
· Deep expertise in RAG architectures, embedding strategies, vector databases, and retrieval optimization.
· Strong experience designing multi-agent orchestration frameworks and workflow engines.
· Advanced proficiency in Python and enterprise API integration patterns.
· Experience building secure, scalable microservices in cloud-native environments.
· Strong understanding of distributed systems, event-driven architectures, and system reliability principles.
· Experience implementing structured output enforcement, guardrails, and audit logging mechanisms.
· Demonstrated ability to design evaluation and benchmarking frameworks for LLM and agent reliability.
· Experience operating in regulated industries such as insurance, financial services, or healthcare preferred.
· Proven leadership in technical design reviews, architecture governance, and cross-functional collaboration.
· Strong ability to balance innovation with enterprise risk management and operational stability.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see sedgwick.com