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Associate Ai Agent Developer Jobs in Delaware (NOW HIRING)

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

Introduces AI- and agent-assisted processing patterns to improve throughput and reduce manual ... Experience working with cross-functional teams across engineering, data engineering, applied ...

New

* Own the AI use-case backlog for the pod, starting with the servicing agent-assist scale-out and ... Translate business intent into Epics, Features, and User Stories in Azure DevOps (ADO) , the SOW ...

* Own the AI use-case backlog for the pod, starting with the servicing agent-assist scale-out and ... Translate business intent into Epics, Features, and User Stories in Azure DevOps (ADO) , the SOW ...

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Associate Ai Agent Developer information

What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

What are the most commonly searched types of Ai Agent Developer jobs in Delaware? The most popular types of Ai Agent Developer jobs in Delaware are:
What job categories do people searching Associate Ai Agent Developer jobs in Delaware look for? The top searched job categories for Associate Ai Agent Developer jobs in Delaware are:
What cities in Delaware are hiring for Associate Ai Agent Developer jobs? Cities in Delaware with the most Associate Ai Agent Developer job openings:

Machine Learning Engineer

Bespoke Labs

Dover, DE โ€ข On-site

Full-time

Posted 27 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 โ€” 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 โ€” 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 โ€” SFT, RLHF, PPO, DPO, or reward model training โ€” 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 โ€” held-out sets, benchmark design, avoiding train/eval contamination