EI
AI Engineer – GenAI / Agentic Systems
Expert In Recruitment Solutions
🇺🇸 United States
On-site
6 months ago
- Machine Learning
- AI
- RAG
- Python
- FastAPI
- Docker
- AWS
- Azure
- GCP
- REST API
- LangSmith
- MLOps
- CI/CD
- AI/ML
6 months ago
- 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.
- 5+ 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.
AI Engineer – GenAI / Agentic Systems · Expert In Recruitment Solutions