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Senior Llm Developer Jobs in Oklahoma (NOW HIRING)

Senior Data Engineer

Edmond, OK ยท On-site

$95K - $130K/yr

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and ... Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling ...

Senior Data Engineer

Edmond, OK ยท On-site

$95K - $130K/yr

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and ... Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling ...

Sr. Application Developer

Tulsa, OK ยท On-site

$83K - $114K/yr

The Senior Application Developer - Data & Integration is responsible for designing, developing, and ... The successful candidate must also be proficient with LLM-based development agents and able to use ...

Senior Data Engineer

Edmond, OK ยท On-site

$95K - $130K/yr

The Senior Data Engineer is responsible for shaping, implementing, and maintaining data pipelines ... Prepare and curate datasets suitable for predictive modeling, experimentation, and LLM-driven ...

$140K - $180K/yr

As a Senior Software Engineer on the Core AI Squad, you'll design, build, and operate customer ... Integrate agents and LLM-powered workflows into production systems with strong attention to ...

Senior Data Engineer

Edmond, OK ยท On-site

$95K - $130K/yr

The Senior Data Engineer is responsible for shaping, implementing, and maintaining data pipelines ... and LLM-driven applications. โ€ข Design data pipelines and schemas that support training ...

Senior Security Engineer

Tulsa, OK ยท On-site

$150 - $200/hr

Familiarity with prompt injection, LLM data exfiltration, tool abuse, and the OWASP Top 10 for LLM ... Work on applicationโ€‘security problems at the intersection of AI, APIs, and developer ...

Senior Frontend Engineer

Oklahoma City, OK ยท On-site

$100 - $125/hr

Partner with designers, backend engineers, and users to refine workflows. * Improve frontend ... AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.

Senior Data Engineer

Oklahoma City, OK ยท On-site

$100 - $125/hr

What we're looking for * 5+ years of data engineering experience. * Strong SQL, Python, and ... AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.

The ideal candidate is first and foremost a strong software engineer, with hands-on experience designing, shipping, and operating LLM-powered applications at scale. As a Senior Engineer, you will own ...

The ideal candidate is first and foremost a strong software engineer, with hands-on experience designing, shipping, and operating LLM-powered applications at scale. As a Senior Engineer, you will own ...

The ideal candidate is first and foremost a strong software engineer, with hands-on experience designing, shipping, and operating LLM-powered applications at scale. As a Senior Engineer, you will own ...

Senior Backend Engineer

Oklahoma City, OK ยท On-site

$100 - $125/hr

Comfort working with ambiguous mission, data, and engineering problems. * Strong written ... AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.

Senior Data Scientist

Oklahoma City, OK ยท On-site

$100 - $125/hr

Work directly with engineers and domain experts to move models into production workflows. What you ... AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.

... Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on ... LLM outputs - Developing scalable data storage solutions using cloud services - Designing 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 popular job titles related to Senior Llm Developer jobs in Oklahoma?

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

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

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

Infographic showing various Senior Llm Developer job openings in Oklahoma as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Senior Data Engineer

Life.Church

Edmond, OK โ€ข On-site

$95K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data. This role is critical in leading to increased engagement and growth through the Bible App globally. The Senior Data Engineer works across technical teams within the organization, including but not limited to Data Analytics, Software Engineering leaders, and Product teams. This role is responsible for defining and executing data governance and architectural decisions and teaching/guiding others on the team. The Senior Data Engineer utilizes their skills to deliver technical outcomes that align with the direction of their team to further Life.Church's mission and to reach people for Christ.
YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.
We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That's why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day.
What You'll Do
  • Deliver Trusted Data: Build and maintain reliable data pipelines that provide accurate, actionable data for analytics, experimentation, and decision-making.
  • Own Data Systems: Plan, implement, and operate ingestion, ETL/ELT, and integration workflows with a focus on quality, scalability, and resilience.
  • Partner Cross-Functionally: Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is instrumented, collected, and usable.
  • Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling, experimentation, and LLM-driven applications.
  • Support Model Readiness: Design data pipelines and schemas that support training, evaluation, and inference workflows in partnership with ML-focused engineers.
  • Advance Data Governance: Contribute to data governance, stewardship, privacy, and security best practices.
  • Improve Observability: Build testing, monitoring, and alerting to ensure high data quality and early detection of issues.
  • Optimize for Scale: Performance tune pipelines, queries, and storage for efficiency and stewardship.
  • Document & Enable: Create clear documentation, diagrams, and data definitions to improve understanding across teams.
  • Mentor Others: Lead and support junior and mid-level data engineers through code reviews, pairing, and guidance.
  • Own Projects: Take responsibility for end-to-end delivery of data initiatives with minimal direction.
  • Grow Continuously: Stay current on data engineering, ML, and LLM-related tools, patterns, and best practices.

What It Takes to Thrive Here
  • Strong Ownership: Ability to independently lead complex data projects from concept to production.
  • Problem-Solving Mindset: Comfortable navigating ambiguity and solving complex technical challenges.
  • Collaboration Skills: Able to communicate clearly with both technical and non-technical partners.
  • Quality Focus: Strong instincts around testing, monitoring, and data correctness.
  • Learning Orientation: Curiosity and motivation to grow in ML- and LLM-adjacent data engineering practices.
  • Mission Alignment: Desire to use your skills to serve others and advance God's Kingdom.

Technical Areas You Excel In
  • SQL: Strong proficiency writing complex queries and optimizing performance.
  • Programming: Experience with Python, Go, Java, or similar general-purpose languages.
  • Data Warehousing: Hands-on experience with warehouse design and modeling (e.g., BigQuery, Postgres, SQL Server, DBT).
  • Pipelines & Orchestration: Experience with Airflow, Pub/Sub, Fivetran, streaming platforms, or similar tools.
  • Cloud Platforms: Experience building data systems on GCP or comparable cloud environments.
  • APIs & Streaming: Experience integrating batch and real-time data sources.
  • ML Data Preparation: Experience preparing datasets for predictive, prescriptive, or classification models.
  • Feature Readiness: Understanding of feature engineering concepts and data requirements for ML workflows.
  • LLM Awareness: Familiarity with LLM concepts such as embeddings, prompt inputs/outputs, vector storage, or retrieval-augmented generation (RAG).
  • Pipeline Support: Ability to support data flows for model training, evaluation, and inference (without requiring deep model research).
  • Cross-Functional Partnership: Comfortable collaborating with ML engineers, data scientists, or platform teams on ML-enabled features.

What You Bring
  • Experience: 5+ years of data or software engineering experience building production-grade data systems.
  • Education: Bachelor's degree in Computer Science, Data, or a related field (advanced certification a plus).
  • Technical Maturity: Proven ability to design, build, and operate reliable data pipelines.
  • Leadership Growth: Experience mentoring others and contributing to team-level technical direction.
  • Tooling Familiarity: Experience with tools such as GitLab, Jira, Amplitude, Backstage, or Notion is a plus.
  • Passion for Impact: Excitement about building data systems that support insight, learning, and spiritual growth.

Benefits We Offer
  • Paid parental leave, including maternity, paternity, and adoption leave.
  • Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons.
  • Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health.
  • Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase.
  • Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.
  • Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.
  • Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn't stop there-the more years on staff, the greater the investment!
  • $160 annually in development dollars for team members to invest in their professional growth.
  • Casual dress and work environment.
  • And much more!

Our Beliefs, Culture, and Commitment to Diversity
At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual's capacity to represent Life.Church's beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. Learn more about what we believe at Life.Church.
While we unite around our mission, we know unity doesn't mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page.
All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.