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Llm Agent Jobs in Indiana (NOW HIRING)

Ksmcpa

Senior Software Engineer

Indianapolis, IN · On-site

$117K - $154K/yr

... LLM- and agent-powered ones) that power what each application does. Your primary focus will be on the data and backend layer of applications and you will work closely with other engineers in the ...

Agilent

$172K - $269K/yr

AI/LLM Integration: Hands-on experience building multi-agent AI workflows for code analysis and logic extraction; composable-skills frameworks for legacy modernization; and agentic orchestration for ...

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

  • Retirement

  • PTO

Developing and operationalizing LLM-powered solutions (RAG, prompt engineering, agent workflows) to extract insights from structured and unstructured data. * Building scalable infrastructure and ...

Humana

Lead, Offensive Security

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on adversarial testing of AI/LLM-powered systems (prompt injection, agent/tool abuse, jailbreaks), demonstrated ability to red-team emerging AI systems, or a strong red-team operator ready to ...

Deloitte

Tax Senior - Private Wealth

Indianapolis, IN · On-site

$77K - $96K/yr

Enrolled Agent * Certifications: * Chartered Financial Advisor (CFA) * Certified Financial Planner (CFP) Preferred * Advanced degree such as MST, JD, or LLM * Prior Big 4 experience * Strong verbal ...

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Llm Agent information

What is the difference between Llm Agent vs Data Scientist?

AspectLlm AgentData Scientist
Required CredentialsTypically a background in AI, machine learning, or related fields; often requires knowledge of NLP and AI frameworksUsually a degree in data science, statistics, or computer science; certifications in data analysis or machine learning are common
Work EnvironmentPrimarily in AI development teams, tech companies, or research labs; focuses on designing and deploying AI agentsIn diverse settings including tech firms, finance, healthcare; analyzes data to inform business decisions
Employer & Industry UsageUsed by AI-focused companies, startups, and research institutionsEmployed across industries like finance, healthcare, marketing, and tech

While both roles involve working with data and advanced technologies, Llm Agents specialize in developing AI agents that utilize large language models, whereas Data Scientists focus on analyzing data to extract insights. The roles often overlap in skills but differ in their primary focus and application.

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For Llm Agent jobs in Indiana, the most frequently searched job titles are:

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The top searched job categories for Llm Agent jobs in Indiana are:

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Llm Agent jobs near you

Data Scientist - AI & Agentic Solutions

Graham Allen Partners

South Bend, IN • On-site

Full-time

Re-posted 12 hours ago

Job description

Location
South Bend, IN - Hybrid
Type
Full-time
Travel
Occasional, client-dependent
Level
Senior Individual Contributor
About the Role
Aunalytics is a data and AI company. We build the data foundation that makes AI work in the real world, and we pair that technology with the hands-on expertise and guidance our clients need to see business impact. We apply our data and AI approach to IT services and to financial institutions. With well over a decade of experience, a proprietary platform, and a team of data scientists, engineers, and industry experts, we're a trusted partner for midsized businesses across the U.S. We're headquartered in South Bend, IN with offices in Michigan, Ohio, and New Jersey. If you want to do meaningful work at a company where your contributions move the needle for clients, for the business, and for the team around you, you'll fit right in here.
What You'll Do
  • Partner with client leadership teams to identify where AI and AI agents can grow revenue, automate work, and improve customer experience
  • Make data AI-ready - integrate and cleanse disparate data into a foundation that models and agents can use
  • Design, build, and deploy machine learning, generative AI, and agentic workflows (from customer intelligence and lead prioritization to automating manual processes)
  • Build proofs-of-concept and production-ready solutions on the Aunalytics data platform and cloud, integrated with client systems
  • Advise on AI strategy - feasibility, risk, sequencing, and expected ROI - in language leadership can act on.
  • Define success metrics and measure impact, then iterate based on real-world results
  • Communicate clearly to both technical and non-technical audiences, from analysts to the C-suite
  • Handle regulated data responsibly, in line with client compliance requirements (SOC 2, PCI, GLBA, and HIPAA where applicable)
  • Stay current on the fast-moving AI, LLM, and agent landscape, and bring the best of it to engagements

What You'll Bring
Required
  • A PhD in a quantitative field (Computer Science, Statistics, Data Science, Engineering, or similar) - preferred; OR a Master's degree in a related field plus 5+ years of applied data science experience
  • Strong applied machine learning skills and fluency in Python and common data science / ML libraries
  • Hands-on experience with LLMs and agentic / generative AI - building real applications with techniques like RAG, prompt engineering, agent frameworks, and orchestration
  • A track record of taking problems from ambiguity to deployed solution, not just prototypes
  • Excellent communication and stakeholder skills - you're comfortable advising and influencing senior leaders
  • Comfort juggling multiple concurrent engagements and shifting context between clients

Nice to Have
  • Prior consulting or client-facing experience.
  • Working knowledge of data governance and compliance frameworks (SOC 2, PCI, GLBA, HIPAA)

Why Aunalytics
  • Real impact. Your work directly shapes how multiple purpose-driven, midsized organizations operate and grow.
  • Variety. Different clients, different problems - you work alongside data scientists and industry experts, not in a silo.
  • Frontier work. Applied AI and agents in real, regulated production environments
  • Purpose and community. A South Bend-rooted company that believes an inclusive, diverse team does the best work
Skills & Requirements Qualifications

Apply