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Assistant Llm Developer Jobs in Ohio (NOW HIRING)

TwinThread

Senior Lead Security Engineer, AI

Columbus, OH · On-site

$120 - $150/hr

Build secure LLM/RAG services and ML pipelines that integrate with SIEM/XDR, EDR, SOAR, IAM, ITSM ... Drive a roadmap of 2-3 flagship capabilities per year (e.g., SOC triage assistant, controls ...

New

Deloitte

AI Engineer Consultant

Columbus, OH · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Deloitte

AI Engineer Consultant

Cleveland, OH · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Deloitte

AI Engineer Consultant

Cincinnati, OH · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

JP Morgan Chase

Senior Lead AI Security Engineer

Columbus, OH · On-site

$107K - $147K/yr

Build secure LLM/RAG services and ML pipelines that integrate with SIEM/XDR, EDR, SOAR, IAM, ITSM ... Drive a roadmap of 2-3 flagship capabilities per year (e.g., SOC triage assistant, controls ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... LLM-powered enterprise applications, such as internal knowledge assistants, document processing ... Collaborate with data engineers, software engineers, product teams, and business stakeholders to ...

Flexjet LLC

Senior Data Scientist

Cleveland, OH · On-site

$120 - $190/hr

Build and deploy LLM-powered applications, such as enterprise knowledge assistants and chatbots ... Optimize prompt engineering workflows and fine-tune models using domain-specific data * Evaluate ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... LLM-powered enterprise applications, such as internal knowledge assistants, document processing ... Collaborate with data engineers, software engineers, product teams, and business stakeholders to ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... LLM-powered enterprise applications, such as internal knowledge assistants, document processing ... Collaborate with data engineers, software engineers, product teams, and business stakeholders to ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... LLM-powered enterprise applications, such as internal knowledge assistants, document processing ... Collaborate with data engineers, software engineers, product teams, and business stakeholders to ...

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Assistant Llm Developer information

What is the difference between Assistant Llm Developer vs Machine Learning Engineer?

AspectAssistant Llm DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; familiarity with NLP and LLMsBachelor's or higher in CS, Data Science, or related; strong ML background
Work EnvironmentTech companies, AI startups, research labsTech firms, AI companies, research institutions
Employer & Industry UsageFocus on developing and fine-tuning language modelsDesigning, building, deploying ML models across domains

Assistant Llm Developers typically focus on developing and fine-tuning language models, often working closely with NLP teams. Machine Learning Engineers have a broader scope, designing and deploying various ML models across industries. Both roles require strong technical skills, but Assistant Llm Developers specialize more in language-specific AI applications.

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Assistant Llm Developer jobs near you

Senior Lead Security Engineer, AI

TwinThread

Columbus, OH • On-site

$120 - $150/hr

Other

Posted yesterday

New

Job description

Job Summary

As a Senior Lead AI Security Engineer in our Cybersecurity team, you will design and deliver secure artificial intelligence solutions that support critical cyber use cases. You will play a key role in shaping platform standards and governance, collaborating with cross‑functional teams, and driving innovation in secure AI. Together, we will build foundational capabilities and create lasting impact for our organization and the wider community.

Job Responsibilities
  • Lead end-to-end design and delivery of AI solutions for cyber use cases, from problem framing and data integration to model development, evaluation, deployment, and monitoring.
  • Build secure LLM/RAG services and ML pipelines that integrate with SIEM/XDR, EDR, SOAR, IAM, ITSM, CMDB, code repos, and cloud telemetry.
  • Establish engineering standards for secure AI: prompt security, tool/function calling patterns, input/output validation, PII masking, secrets handling, and deterministic fallbacks.
  • Create evaluation harnesses with offline/online metrics, golden datasets, adversarial prompt sets, jailbreak tests, and safety/quality KPIs.
  • Partner with platform teams to stand up reusable AI components: LLM gateways, vector stores, feature stores, evaluation/observability, and governance workflows.
  • Implement drift and quality monitoring; define SLAs/SLOs; build incident response runbooks for AI-enabled services.
  • Collaborate with risk and MRGR-style governance partners to meet documentation, validation, and attestations; maintain model/AT inventories, monitoring plans, and change logs.
  • Deliver measurable impact: reduce MTTR, improve detection precision, automate control evidence collection, and accelerate secure engineering.
  • Mentor engineers and analysts; publish playbooks, templates, and safe prompt libraries; lead brown‑bags and office hours for adoption.
  • Drive a roadmap of 2–3 flagship capabilities per year (e.g., SOC triage assistant, controls automation agent, DevSecOps code copilot).
Required Qualifications, Capabilities, and Skills
  • Minimum 7 years of software/security engineering, including hands‑on experience in one or more of: detection engineering, SecOps, AppSec/DevSecOps, or cloud security.
  • Minimum 3 years building and operating applied ML/LLM systems in production (RAG pipelines, embeddings, fine‑tuning/specialization, vector databases, model serving).
  • Proficiency in Python and at least one of: Java, Scala, or TypeScript; experience with microservices, APIs, containers, and Kubernetes.
  • Familiarity with SIEM, EDR, SOAR, IAM, and ITSM integrations; streaming/data engineering with Kafka or similar.
  • Experience with LLM orchestration and guardrails (prompt engineering, injection defense, tool calling, safety filters).
  • Hands‑on with ML
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