Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
AI/ML and Agentic Framework Integrator
Manassas, VA, US
Actively hiring, first seen by us 4 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- 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 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 31, 20264 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 3, 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
Time since we first saw it
Day 4
Early. Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
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.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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
No clear work-authorization passage found. Eligibility is unconfirmed.