AI/ML Engineer | Hybrid (1 say onsite) | Atlanta, GA | $100K - $150K
We’re working with a leading legal organisation building
production-grade AI systems
to transform how legal work gets done. This is a hands-on engineering role focused on developing and deploying
LLM-powered solutions
in secure, real-world environments.
What you’ll work on:
RAG pipelines, fine-tuned LLMs, and agentic workflows
legal documents, knowledge bases, and internal platforms
APIs, data pipelines, and backend services
to support AI applications
latency, cost, and reliability constraints
What they’re looking for:
Python
and modern AI/ML tooling (e.g. PyTorch, TensorFlow, LangChain, LlamaIndex)
LLMs, embeddings, and retrieval systems (RAG)
cloud environments (AWS or GCP)
and production systems
ambiguous, real-world challenges
Nice to have:
agent-based systems or orchestration frameworks
sensitive or regulated data
vector databases, evaluation frameworks, or MLOps practices
We’re open to a range of levels (mid through principal), including
strong M.S. graduates
looking to move into industry and work on meaningful, production AI systems.
$100,000 - $150,000
year
FULL TIME
mid
4/15/2026
You will be redirected to Franklin Fitch's application portal.