Time since we first saw it
Day 13
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
AI/ML and Agentic Framework Integrator
Manassas, VA, US
Actively hiring, first seen by us 13 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDeploy and integrate LLM inference endpoints using vLLM or similar serving tools
Write Kubernetes manifests and Helm charts for AI/ML and agent services
Integrate agent frameworks and MCP services with REST, Kafka, and AMQP interfaces
Connect AI/ML applications to secure data pipelines and query services
Build tests and benchmarks for model quality, endpoint performance, and security controls
From the employer’s posting
Deploy and integrate LLM inference endpoints using vLLM and comparable serving technologies
Develop and maintain Kubernetes manifests and Helm charts for AI/ML and agent services
Integrate agent frameworks, planning tools, and Model Context Protocol (MCP) services with application interfaces such as REST, Kafka, and AMQP
Connect AI/ML applications to secure data pipelines and query services
Develop tests and benchmarks for model quality, endpoint performance, cybersecurity controls, and CPU/GPU/RAM resource constraints
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 31, 202613 days ago
- Recorded sightings
- 13
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Seacorp is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Kafka
- Kubernetes
Where the posting names them
Job Summary: SEACORP is seeking an engineer to integrate AI/ML inference services and agentic frameworks into the SWFTS Common Infrastructure Services (CIS) environment. The focus is deploying and connecting working capabilities on an existing Kubernetes platform, with secure data access and performance appropriate for mission-critical systems. Job Responsibilities Include: Deploy and integrate LLM inference endpoints using vLLM and comparable serving technologies, including model APIs, streaming responses, and GPU-backed execution. Develop and maintain Kubernetes manifests and Helm charts for AI/ML and agent services; configure GPU access, resource limits, networking, secrets, and monitoring. Integrate agent frameworks, planning tools, and Model Context Protocol (MCP) services with application interfaces such as REST, Kafka, and AMQP. Connect AI/ML applications to secure data pipelines and query services. Deploy open-weight and multimodal models; manage model artifacts, dependencies, and integration across frameworks and model formats. Develop tests and benchmarks for model quality, endpoint performance, cybersecurity controls, and CPU/GPU/RAM resource constraints. Support technical exchange/working group meetings with government and industry partners.
Your next step
Complete your application on seacorp.csod.com. The employer’s form will show what is required.
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Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
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.
Job description
Job Summary: SEACORP is seeking an engineer to integrate AI/ML inference services and agentic frameworks into the SWFTS Common Infrastructure Services (CIS) environment. The focus is deploying and connecting working capabilities on an existing Kubernetes platform, with secure data access and performance appropriate for mission-critical systems. Job Responsibilities Include: Deploy and integrate LLM inference endpoints using vLLM and comparable serving technologies, including model APIs, streaming responses, and GPU-backed execution. Develop and maintain Kubernetes manifests and Helm charts for AI/ML and agent services; configure GPU access, resource limits, networking, secrets, and monitoring. Integrate agent frameworks, planning tools, and Model Context Protocol (MCP) services with application interfaces such as REST, Kafka, and AMQP. Connect AI/ML applications to secure data pipelines and query services. Deploy open-weight and multimodal models; manage model artifacts, dependencies, and integration across frameworks and model formats. Develop tests and benchmarks for model quality, endpoint performance, cybersecurity controls, and CPU/GPU/RAM resource constraints. Support technical exchange/working group meetings with government and industry partners.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Manassas, VA, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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