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Llm Agent Jobs in Indiana (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Hammond, IN · On-site

... for agent training. This means designing observation spaces, action spaces, reward signals, and ... experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and ...

Bespoke Labs

Machine Learning Engineer

Gary, IN

... for agent training. This means designing observation spaces, action spaces, reward signals, and ... experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and ...

Bespoke Labs

Machine Learning Engineer

Gary, IN · On-site

... for agent training. This means designing observation spaces, action spaces, reward signals, and ... experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and ...

Fluence

$51.75 - $68.50/hr

Evaluate new LLM and agent capabilities continuously and translate them into practical, governed, high-value business improvements * Collaborate with IT on security review, data access governance ...

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...

Quora

$139K - $168K/yr

... routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM ...

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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.

What are popular job titles related to Llm Agent jobs in Indiana? For Llm Agent jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Llm Agent jobs in Indiana look for? The top searched job categories for Llm Agent jobs in Indiana are:
What cities in Indiana are hiring for Llm Agent jobs? Cities in Indiana with the most Llm Agent job openings:
Llm Agent jobs near you

Machine Learning Engineer

Bespoke Labs

Hammond, IN • On-site

Full-time

Re-posted 20 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong 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 training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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