New York, NY, United States
Actively hiring, first seen by us 10 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Build and own prompts, tool usage, memory, and routing for agent behavior
Build evaluations (golden and adversarial test sets, LLM-judge rubrics)
Implement and tune safety guardrails, including PII handling and spend limits
Fine-tune SLMs and open-weight models for custom objectives
Apply MLOps practices such as CI/CD, versioning, and observability
you'll build and own the prompts, tool usage, memory, and routing that shape agent behavior
Evaluate agent performance with golden and adversarial test sets, LLM-judge rubrics, and evaluation libraries.
Implement and tune safety guardrails, including input/output checks, prompt-injection defenses, PII handling, and spend limits
Fine-tune SLMs and open-weight models for custom objectives.
Apply MLOps practices such as CI/CD, versioning, observability, and model and prompt lifecycle management.
Required Qualifications, Capabilities, and Skills - Bacholer’s, Master's, or PhD degree in computer science or a data science-related discipline, with 3+ years of industry experience - Strong software engineering experience contributing to production systems.
Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 10
Similar jobs usually come down between day 4 and day 77.
At JPMorgan Chase, jobs usually come down by about day 15.
From 51 similar postings that came down, and 1,000 of JPMorgan Chase’s. Coming down is not always a hire.
358 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Strong software engineering experience contributing to production systems. - Proficient in Python, including asynchronous programming and API development with FastAPI, Flask, or similar frameworks. - Hands-on experience building and deploying generative AI or LLM applications in production.
- Experience using tracing observability tools such as Arize Phoenix. - Familiarity with machine learning frameworks such as PyTorch or scikit-learn, including adapting and fine-tuning of models. - Experience integrating vector databases and search or indexing systems into AI applications.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Chase Small Business Banking is a world-class brand serving 7 million small business clients with a full suite of financial services, including lending, deposits, cards, and online solutions.
As a Senior Associate Applied AI/ML Scientist, you will develop and operate agentic AI products supporting Small Business Lending. You will partner with Product and Engineering to translate business needs into production-ready systems - you'll build and own the prompts, tool usage, memory, and routing that shape agent behavior, and build evaluations that show whether each change improves task success, safety, and cost. You will help maintain the continuous learning loop from production traces to failure analysis, evaluation cases, and verified fixes.
Job Responsibilities
Present findings clearly to technical and non-technical stakeholders, including senior leaders.
Required Qualifications, Capabilities, and Skills
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New York, NY, United States
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