AI/ML Engineer II - Mission-Driven NLP & RAG Systems

Paycom

McLean (VA)

Hybrid

USD 120,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Unlimited PTO
11 paid company holidays
401(k) plan
Health insurance (PPO/HSA)

Job summary

Torch.AI, headquartered in Leawood, KS, is building a government-owned reasoning infrastructure. We are seeking candidates in the McLean, VA area (Arlington/Washington DC region) to design and implement end-to-end ML workflows and production-ready AI services that scale for semantic search, classification, entity resolution, and retrieval.

Ideal candidates have 3–6 years of ML/NLP experience, strong Python, and familiarity with Transformers, PyTorch, spaCy, and cloud/container deployment.

Qualifications

  • B.S./M.S. in Computer Science, Engineering or related field.

Responsibilities

  • Design and implement end-to-end ML workflows for semantic search and retrieval.
  • - Build production-ready AI services with reliability and maintainability.
  • - Develop embedding pipelines and retrieval-augmented generation components.
  • - Collaborate with data engineering and backend teams to scale ML capabilities.
  • - Support deployment, monitoring, and versioning within the MLOps lifecycle.
  • - Participate in architecture discussions aligned to platform needs.

Skills

Python
ML/NLP
PyTorch
Transformers
SpaCy
Scikit-learn
Cloud computing
Containerization
Communication

Education

B.S./M.S. in CS or related field

Tools

MLflow
DVC
Kubeflow
SageMaker
Docker
Kubernetes

Job description

Torch.AI, headquartered in Leawood, KS, is building a government-owned reasoning infrastructure. We are seeking candidates in the McLean, VA area (Arlington/Washington DC region) to design and implement end-to-end ML workflows and production-ready AI services that scale for semantic search, classification, entity resolution, and retrieval.

Ideal candidates have 3–6 years of ML/NLP experience, strong Python, and familiarity with Transformers, PyTorch, spaCy, and cloud/container deployment.

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