Reads like an AI Engineer role: building products on existing AI models.
Jersey City, NJ, United States
Live, first seen by us 81 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design and implement components of agentic AI platforms for enterprise workflows
Build production AI systems with agents, memory, guardrails, and tool-use orchestration
Implement retrieval and context-engineering patterns such as embeddings and semantic search
Engineer cloud-native services on AWS using containers, serverless, and event-driven messaging
Optimize latency, throughput, caching, and cost across large language model workloads
Design and implement components of scalable, reliable agentic AI platforms for enterprise workflows
Build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
Implement retrieval and context-engineering patterns including embeddings, semantic search, grounding, summarization, and prompt/version management
Engineer cloud-native services on AWS using containers, serverless compute, and event-driven messaging patterns
Optimize latency, throughput, scalability, caching, context efficiency, and cost across large language model workloads
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 81
Up longer than most. Similar jobs usually come down between day 4 and day 77.
Well past JPMorgan Chase’s usual: its jobs 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 fundamentals with ability to deliver cloud-native services using containers and serverless designs on AWS - Advanced python programming skills with experience writing production quality code - Experience with retrieval-augmented generation approaches, including embeddings and semantic search, and practical context engineering
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an Software Engineer III at JPMorgan Chase within Corporate Technology, you will help design and deliver agentic AI platforms and large language model-enabled services for Finance use cases. You will contribute to technical design, build cloud-native services on AWS, and improve system quality through evaluation and observability. You will help raise engineering standards through strong code reviews, documentation, and collaboration across teams. Job responsibilities
- Implement retrieval and context-engineering patterns including embeddings, semantic search, grounding, summarization, and prompt/version management - Engineer cloud-native services on AWS using containers, serverless compute, and event-driven messaging patterns - Optimize latency, throughput, scalability, caching, context efficiency, and cost across large language model workloads
- Hands-on experience building and operating production large language model applications, including agentic patterns and tool integrations - Strong software engineering fundamentals with ability to deliver cloud-native services using containers and serverless designs on AWS - Advanced python programming skills with experience writing production quality code
Preferred qualifications, capabilities, and skills - Experience deploying and operating workloads on Kubernetes-based platforms and container orchestration patterns - Experience with experimentation frameworks and automated regression testing for large language model quality
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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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.
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Jersey City, NJ, United States
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