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Assistant Llm Developer Jobs in Georgia (NOW HIRING)

Senior Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Use AI coding assistants, LLM-powered workflows, and automation as a core part of how you work ... Pair with senior engineers who are invested in your growth and will push you to level up. What We ...

Work hands-on with multiple LLM ecosystems: * OpenAI GPT models (GPT-4, GPT-4o, fine-tuned GPTs ... OpenAI GPT models (chat, assistants, fine-tuning). * Anthropic Claude (safety-first AI for ...

* We are seeking a Senior Prompt Engineer AI Specialist Technical Analyst to support enterprise scale Generative AI and LLM based solutions including Service Assist AI and Agent Desktop aligned ...

Palantir Foundry (data, ontology, pipelines, apps) Palantir AIP (LLM agents, Logic, RAG/OAG ... Develop copilots, decision-support agents and autonomous workflows using AIP Agent Studio, Assist, ...

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

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

Utilize GitHub Copilot, Cursor, or similar LLM tools for 80% of your boilerplate, unit testing, and ... Demonstrated ability to prompt and iterate with AI coding assistants to solve complex logic ...

... delivery. Assist with establishing enterprise standards and governance for Agentic AI ... LLM integration, prompt engineering, and AI orchestration Programming/scripting languages such as ...

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

They are seeking a Senior Associate, AI Engineer to develop and test AI models, assist with data ... LLM's, chatbots, virtual assistants, agents) and APIs • Strong analytical skills and attention to ...

AWS DevOps Datadog

Sandy Springs, GA · On-site

$52.25 - $71.75/hr

Experience integrating LLM-based assistants or agents with developer platforms, repositories, ticketing systems, observability tools, or operational runbooks using secure enterprise controls.

Showing results 21-40

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.

What are the most commonly searched types of Llm Developer jobs in Georgia?

The most popular types of Llm Developer jobs in Georgia are:

What job categories do people searching Assistant Llm Developer jobs in Georgia look for?

The top searched job categories for Assistant Llm Developer jobs in Georgia are:

What cities in Georgia are hiring for Assistant Llm Developer jobs?

Cities in Georgia with the most Assistant Llm Developer job openings:

Senior Software Engineer

Evident ID

Atlanta, GA • On-site

$117K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

The world's largest organizations rely on Evident to help them protect their business and brand from third-party risk. Our game-changing technology - which enables the secure exchange of risk data like proof of insurance, identity, business registration, and other information - helps our customers verify that their partners have all of the required credentials to do business.
In today's new remote-first, ever-changing regulatory environment, our secure, privacy-first enterprise platform, accessible via web portal or API, provides a highly scalable and configurable solution to manage communications, storage, decisioning, and ongoing monitoring of credentials.
Evident is a VC-backed technology startup, headquartered in Atlanta, GA. Learn more at evidentid.com.
This is a role for an engineer who's hungry - someone who's built enough to know what they don't yet know, and is ready to close that gap fast.
At Evident, you'll work alongside some of the sharpest engineers in the risk management space, on problems that actually matter, with the latest technology. You'll ship real product, develop instincts that take most engineers a decade to build, and do it inside a team that treats AI-native development not as a buzzword, but as a genuine competitive edge.
If you're earlier in your career and looking for an environment that will push you further than any other role you're considering - this is that place.
The role will be based in our office in Atlanta (hybrid work model with two days in the office and three days remote).
What You'll Work On
  • AI-native development - for real
  • Use AI coding assistants, LLM-powered workflows, and automation as a core part of how you work every day - and keep sharpening that edge as the tools evolve.
  • Apply AI across the full development cycle: writing and refactoring code, generating tests, drafting specs, accelerating debugging. The goal is always to do better work, faster.
  • This is one of the most exciting skillsets you can build right now, and you'll have both the mandate and the support to develop it deeply.

  • Shipping product that matters
  • Design, build, and deploy features across our Java and Python stack - end-to-end ownership from implementation through deployment and observability.
  • Work in a codebase where your contributions are visible and your impact is measurable.
  • Solve problems at the intersection of identity, trust, and compliance - a domain where the technical and real-world stakes are both high.

  • Growing through the work
  • Write well-tested, production-grade code and learn what "quality at scale" actually looks like in practice.
  • Participate in design discussions, code reviews, and architecture conversations - not as a passive observer, but as someone whose perspective is wanted.
  • Pair with senior engineers who are invested in your growth and will push you to level up.

What We're Looking For
Must-Have
  • 3+ years of professional software engineering experience with real production exposure.
  • Solid foundation in Java and/or Python - you understand the language well enough to be honest about where your gaps are.
  • Curiosity about and some hands-on experience with AI development tools (Copilot, Cursor, Claude, or similar) - even if you're still building the habit, you're genuinely interested in going deeper.
  • A growth mindset: you take feedback well, ask good questions, and don't need everything figured out before you start.
  • Strong written and verbal English communication - the team is distributed and async clarity matters.

Nice to Have
  • Exposure to LLM-based features in production (prompt design, retrieval, evaluation, fallbacks).
  • Familiarity with cloud-native infrastructure (AWS, GCP, or Azure), microservices, or API design.
  • Experience in startup or fast-moving product environments.
  • Interest in identity, privacy, or compliance domains.
  • Experience with Scala

What You'll Get Out of This
  • Accelerated growth. You'll be surrounded by engineers who've already navigated the hard problems you're working toward - and they're the kind of people who share what they know.
  • Real ownership. No ticket factories. You'll have genuine influence over what gets built and how.
  • A skill set that's genuinely rare. Deep AI-native development experience, in a production environment, is one of the most valuable things you can develop right now. We'll help you build it.
  • A problem worth caring about. Identity verification sits at the center of trust on the internet - the work has weight.
  • Competitive compensation, benefits, and a hybrid work setup based out of Atlanta, GA.

Why Evident?
• Our team solves a crucial problem with huge business potential together, and we are able to see exactly how our contribution affects customers!
• Competitive pay package, including base pay and stock options
• Full medical, dental, vision benefits and 401K
• Unlimited PTO
• Paid parental leave to support you and your family
• Home internet stipend, virtual events, & more!
• Recently named one of Atlanta's Coolest Companies & 50 on Fire by Atlanta Inno
• Recently named one of the Top 10 Fastest Growing Companies in Atlanta & one of the Best Places to Work in Atlanta by Atlanta Business Chronicle
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.