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Senior Llm Developer Jobs in Missouri (NOW HIRING)

ITTConnect

Senior AI Engineer (Java)

Saint Louis, MO · On-site

$121K - $159K/yr

We are seeking a highly experienced senior AI Engineer, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and ...

ITTConnect

Senior AI Engineer (Java)

Saint Louis, MO · On-site

$117K - $154K/yr

We are seeking a highly experienced senior AI Engineer, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and ...

twentysix

Director, AI Engineering

California, MO · On-site

$200 - $250/hr

... LLM-powered applications -- and the pipelines that power them. You'll bring senior technical ... Harness Engineering: Directing the build of robust agent harnesses -- orchestration layers ...

MasterCard

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

Title and Summary Senior AI Engineer Mastercard's Business & Market Insights (B&MI) group empowers ... Lead LLM fine-tuning, prompt engineering, and model alignment strategies - including RLHF, PEFT ...

Mastercard, Inc.

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

Title and Summary Senior AI Engineer Mastercard's Business & Market Insights (B&MI) group empowers ... This role will expect Gen AI engineer to architect and deliver next-generation LLM, agentic, and ...

Jobgether

$80K - $110K/yr

Our partner is looking for a Senior AI/ML Engineer based in Netherlands. This is a senior-level ... Develop production-grade LLM applications leveraging Claude APIs, LangGraph, LangChain, advanced ...

Jobgether

$94K - $124K/yr

You will design, build, deploy, and continuously improve LLM-powered features within a large-scale ... senior leadership and meaningful influence on product and engineering decisions. * Strong career ...

iHerb

Sr. Software Engineer II - AI

California, MO · On-site

$200 - $250/hr

Write LLM applications and integrations with marketing platforms, BI tools, or customer-facing ... Contributions to internal developer tooling, golden path standards, or SDLC process improvements.

Jobgether

$79K - $104K/yr

Drive GenAI and LLM engineering: Develop practical strategies for RAG, prompt engineering ... Mentor senior engineers, guide complex architectural decisions, and represent the AI/ML function in ...

Walmart

(USA) Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping ... Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and ...

Walmart

(USA) Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping ... Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and ...

Walmart

(USA) Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping ... Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and ...

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Senior Llm Developer information

What is a senior LLM developer?

Senior LLM Developers are experienced software engineers who specialize in building, fine-tuning, and deploying large language models (LLMs) such as GPT, BERT, or similar AI models. They work on advanced natural language processing (NLP) tasks, optimize model performance, and often lead teams in developing AI-driven applications. Their responsibilities include data pipeline development, model training, performance evaluation, and integrating LLMs into products. They are proficient in programming languages like Python, familiar with machine learning frameworks, and stay updated with the latest research in AI and NLP.

What are the key skills and qualifications needed to thrive as a senior LLM developer?

To thrive as a Senior LLM Developer, you need deep expertise in natural language processing, machine learning, and advanced programming skills, typically supported by a relevant degree and experience with large language models. Proficiency with frameworks like PyTorch or TensorFlow, cloud platforms (AWS, GCP, Azure), and version control systems, as well as familiarity with model fine-tuning and deployment, are essential. Strong problem-solving, communication, and collaboration skills help in leading teams and translating complex requirements into innovative solutions. These skills are crucial for building, optimizing, and maintaining robust language models that meet organizational objectives and stay ahead in a rapidly evolving field.

What are some common challenges senior LLM developers face when deploying large language models in production environments?

Senior LLM Developers often encounter challenges such as optimizing model performance for latency and scalability while maintaining accuracy. Managing resource-intensive inference and ensuring robust monitoring to detect issues like model drift or biased outputs are also key concerns. Additionally, integrating LLMs with existing systems and coordinating with cross-functional teams, such as MLOps engineers and product managers, is essential for successful deployment. Staying updated with rapidly evolving frameworks and compliance requirements adds to the complexity of the role.

What is the difference between Senior Llm Developer vs Machine Learning Engineer?

AspectSenior Llm DeveloperMachine Learning Engineer
CredentialsAdvanced degrees in CS, NLP, or AI; experience with LLMsDegrees in CS, Data Science, or related fields; experience with ML frameworks
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLPTech companies, startups, industries applying ML solutions
Industry UsagePrimarily in NLP, AI research, and language model developmentBroader across AI applications, including vision, speech, and data analysis

While both roles require strong AI and ML knowledge, Senior Llm Developers specialize in language models and NLP, whereas Machine Learning Engineers work across various AI domains. The roles often overlap but differ in focus and application areas.

What are the most commonly searched types of Llm Developer jobs in Missouri?

The most popular types of Llm Developer jobs in Missouri are:

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For Senior Llm Developer jobs in Missouri, the most frequently searched job titles are:

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What cities in Missouri are hiring for Senior Llm Developer jobs?

Cities in Missouri with the most Senior Llm Developer job openings:

Senior Llm Developer jobs near you

Senior AI Engineer (Java)

ITTConnect

Saint Louis, MO • On-site

$121K - $159K/yr

Full-time

Posted 7 days ago

Job description

ITTConnect is seeking an experienced Senior AI Engineer (JAVA) to work for a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. End client is in the telecom industry. Job location: Saint Louis, MO.

We are seeking a highly experienced senior AI Engineer, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems. Key Responsibilities: Design and develop scalable backend applications and services using Java and Spring Boot.

Build event-driven and distributed services using Kafka, REST APIs, and microservices architecture. Integrate NLP, machine learning, and LLM capabilities into Java-based enterprise applications. Build or integrate NLP solutions for text classification, clustering, intent detection, and related use cases.

Perform data analysis and data validation using SQL. Design and deploy LLM workflows involving prompt engineering, evaluation, and Retrieval-Augmented Generation (RAG). Develop integrations between Java applications and Python-based AI/ML or model-serving services when appropriate.

Contribute to agentic AI workflows supporting multistep interactions, tool execution, validation, and workflow orchestration. Apply production engineering practices covering scalability, resiliency, security, testing, monitoring, and performance optimization. Contribute to LLMOps and MLOps practices, including evaluation, monitoring, versioning, deployment, and lifecycle management.

Collaborate with AI/ML, product, platform, data, and DevOps teams. Participate in architecture reviews, code reviews, technical planning, and production support. Mentor junior and offshore engineers and promote engineering best practices.

Requirements 10+ years of total technology or software-engineering experience. Strong hands-on backend development experience using Java. Strong experience with Spring Boot, REST APIs, and microservices.

Experience with Kafka or comparable event-driven messaging technologies. Practical experience implementing or integrating AI/ML capabilities in production applications. Experience with NLP use cases such as text classification or clustering.

Experience integrating machine learning models, NLP services, or LLM-based capabilities with enterprise applications. Hands-on experience with LLM concepts and solutions, including: Prompt engineering LLM evaluation Retrieval-Augmented Generation Strong SQL and relational-database experience. Experience with software testing, CI/CD, security, monitoring, and production support.

Strong communication and cross-functional collaboration skills. Preferred Qualifications Experience with agentic AI or multi-agent orchestration. Experience with LLMOps or MLOps in production environments.

Cloud experience with AWS, Azure, or Google Cloud Platform. Experience with Docker and Kubernetes. Experience integrating Java services with Python-based AI/ML components.

Experience with vector databases and semantic search. Familiarity with voice AI, IVR, conversational AI, intent detection, or call-routing systems. Voice and IVR experience are preferred but not required.

Experience mentoring distributed, offshore, or junior engineering teams.

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