Please share resume if local
to Dallas,
TX, or Charlotte, NC, on kar...@kaashtech.com
AI Engineer with Python experience
Local to Dallas, TX, or Charlotte, NC
NOTE: Face-to-face interview mandatory (2 rounds)
Job
Description
What You'll Do
- Build GenAI
applications leveraging foundation models and advanced architectures such
as GraphRAG.
- Develop
autonomous AI agents using modern agentic frameworks.
- Design and
deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud
platforms (AWS, Azure, or GCP).
- Build
scalable REST APIs that power LLM-driven applications integrated with
enterprise data sources.
- Implement
LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom
benchmarks to measure answer relevance, groundedness, and hallucination
rates.
- Apply
LLMOps/MLOps practices, including CI/CD pipelines, prompt/version
management, automated testing, and monitoring of latency, cost, and
response quality.
- Develop
systems leveraging embeddings at scale, knowledge graphs, and ontology
extraction.
- Collaborate
across engineering teams, mentor developers, and help drive innovation in
GraphRAG and agentic AI architectures.
What You'll Bring
- Degree in
Computer Science, AI/ML, or related field.
- 10+ years of
AI/ML-focused software engineering experience.
- Production
experience building LLM-based or agentic AI systems.
- Strong
expertise in Python and modern AI frameworks.
- Experience
with embeddings, knowledge graphs, ontology extraction, and advanced
RAG/GraphRAG implementations.
- Full-stack
development experience (Python back end + modern front end).
- Experience
deploying AI workloads to AWS, Azure, or GCP.
- Familiarity
with LLMOps/MLOps tooling and model evaluation frameworks.
- Strong
problem-solving, communication, and collaboration skills.