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Senior Llm Developer Jobs in Indiana (NOW HIRING)

Senior Software Engineer

Indianapolis, IN ยท On-site +1

$117K - $154K/yr

Make An Impact! Are you a detail-oriented and self-motivated developer passionate about ... Drive automation and workflow improvements through innovative LLM solutions and strategies that ...

Senior Software Engineer

Indianapolis, IN

$117K - $154K/yr

Experience with or interest in AI/ML systems, including LLM-based services, prompt engineering, or AI safety approaches * Familiarity with reliability engineering practices such as SLOs, error ...

Sr. Staff Software Engineer - AI Chat

Indianapolis, IN ยท On-site

$117K - $154K/yr

We're looking for a Senior Staff Software Engineer to own the technical direction and delivery of ... You'll integrate LLM capabilities through Cortex's model gateway, supporting multi-model routing ...

Senior Software Engineer

Indianapolis, IN ยท On-site

$117K - $154K/yr

Senior Software Engineer Department & Team : Genesys Cloud CX and Core Services, Core AI Team Job ... test their LLM powered features, integrate with AWS Bedrock, and provide enterprise-grade ...

Sr. Engineer, Software

Indianapolis, IN

$117K - $154K/yr

Integrate AI/ML capabilities into product features including LLM-powered analytics, automated ... Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps); containerize services ...

Senior Data Engineer Role Summary: Data Engineering is a key role in the development team and is ... Proficiency in Python and modern AI/ML tooling and experience integrating with LLM APIs (Anthropic ...

$195K/yr

As a Senior Software Research Engineer, you will work at the intersection of computer vision ... Some experience in integrating LLM frontier models with practical uses in code. Solid grounding in ...

Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational ... Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and ...

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Showing results 1-20

Senior Llm Developer information

What is the salary of LLM developer?

The salary of a Senior LLM Developer typically ranges from $120,000 to $180,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, natural language processing, and deep learning frameworks may earn higher compensation, especially in competitive tech markets.

What engineers make $500,000?

Senior LLM developers and AI engineers with extensive experience, specialized skills in machine learning, deep learning, and natural language processing, and often working in high-demand industries or at leading tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, stock options, and other incentives, especially at senior levels or in competitive markets.

What are the key skills and qualifications needed to thrive as a Senior LLM Developer, and why are they important?

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 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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as Senior Llm Developer or AI research director, which involve developing large language models, advanced machine learning techniques, and require expertise in deep learning frameworks. These positions often demand extensive experience, specialized skills, and may include leadership responsibilities or working in competitive tech environments.

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 are Senior LLM Developers?

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.

Which 3 jobs will survive AI?

For a Senior Llm Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI ethics specialists, AI system auditors, and interdisciplinary researchers. These jobs involve oversight, nuanced understanding, and ethical considerations that AI cannot fully replicate. Skills in critical thinking, domain expertise, and collaboration will remain valuable in the evolving AI landscape.
What are popular job titles related to Senior Llm Developer jobs in Indiana? For Senior Llm Developer jobs in Indiana, the most frequently searched job titles are:
Senior Software Engineer

Senior Software Engineer

CALRegional

Indianapolis, IN โ€ข On-site, Remote

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Life

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Make An Impact!

Are you a detail-oriented and self-motivated developer passionate about architecting scalable solutions and looking to make a real difference in people's lives? Come be a part of our #calregionalfamily as a Senior Software Engineer and help develop the heroes of tomorrow.

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Who Weโ€™re Looking For

We are looking for an enthusiastic and self-motivated full-time Senior Software Engineerย to join our team at our location in Indianapolis, IN. We are interested in candidates who are looking to work for a company that is passionate about changing lives and helping build the essential workforce!

The Senior Software Engineerโ€™s duties and responsibilities include:

  • Design, develop, and deploy software applications, making sound implementation decisions within established architectural direction
  • Contribute to architectural decisions for scalable, secure, and maintainable systems, helping shape patterns and standards alongside the CTO and team
  • Design and develop microservices using various APIsย 
  • Design and maintain backend integrations with CRM platforms
  • Build and maintain CI/CD pipelines for web applications and APIs
  • Conduct thorough code reviews and contribute to code quality standards
  • Provide technical mentorship and guidance to teammates through pairing, code reviews, and architectural discussions
  • Drive automation and workflow improvements through innovative LLM solutions and strategies that balance speed, function, and long-term robustness
  • Actively contribute to sprint planning and ceremonies, helping shape technical priorities and estimates
  • Perform other responsibilities and projects as directed by the Chief Technology Officerย 

The Skills You Need:ย 

  • 4+ years of professional software development experience
  • 3+ years building production Django applications
  • Experience deploying and managing applications on GCP, including familiarity with networking, IAM, and monitoring
  • Experience with HTML, CSS, and JavaScriptย 
  • Experience working with relational databasesย (Postgres preferred), including schema design and query optimization
  • Experience designing and consuming RESTful APIs
  • Experience building or working with generative AI solutions
  • Experience configuring or maintaining CI/CD pipelines
  • Understanding of object-oriented programming and Agile programming methodologyย 
  • Strong ability to communicate technical concepts and tradeoffs to non-technical stakeholders
  • Self-motivated, with the ability to work independently and make sound technical decisions within their scope

Even Better If You Have:

  • GCP Professional Cloud Architect or Professional Cloud Developer certification, or equivalent cloud development credential
  • 4-6 years of related experienceย 
  • Bachelor's degree in computer science or related field or equivalent work experienceย ย 
  • Prior experience as a senior technical contributor on a small team
  • Python advanced Proficiency
  • CRM experience, such as Zoho or Salesforceย 
  • Experience developing and deploying generative AI solutions

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What We Offer

We offer generous pay along with health benefits we are proud of. Our health benefits include medical, dental, vision, and complimentary life insurance plans.

We offer discretionary bonuses, raises, and promotions based on company and personal performance. We are known for rewarding our employees and sharing our successes with the team.ย 

We value work-life balance and self-care. Our work schedule is based on a 34-hour work week, giving our employees more time to take care of personal needs. This specific position follows a hybrid schedule and can be worked remotely up to 3 days a week.

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Who We Are

CALRegional specializes in administering healthcare training programs for public institutions in California, Texas, and Arizona. We provide affordable, fast-paced programs that positively impact the lives of students and the communities we serve together. Having started in 2013, our team has a great amount of experience helping public institutions expand their healthcare program offerings to meet the demands of businesses in the local community.

Since our start, CALRegional has grown over 30% each year. Weโ€™ve created new career opportunities to strengthen our team and continue our mission of providing students with high-quality affordable healthcare career education programs and to help build the essential workforce.

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Our Culture

At CALRegional, our mission is to create and sustain a culture based on our core values of Trust, Loyalty, Teamwork, Commitment, Consistency, Honesty, and Expertise. Upholding these values is the cornerstone of our success in cultivating a culture that develops strong and genuineย workingย relationships.ย We strive to empower our employees to do their best work through personal growth and development.ย 

Weโ€™ve fostered a culture that promotes constructive discussion and the prioritization of student success. We discourage departmental silos and encourage constructive feedback and ideas from all individuals in the company.