The Role
Develop GenAI applications and autonomous AI agents. Design RAG services, build scalable APIs, implement evaluation frameworks, and mentor teams.
Summary Generated by Built In
PLEASE NOTE:
- It is a 100% on-site position, Carry, NC.
- 5 days/week.
- Local candidates.
- HackerRank assessment required
Job Description:
- 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.
SKILL SET:
- Focus on building AI-driven solutions using Python, including LLMs, Embeddings, knowledge graphs, and RAG Architecture.
- Cortex AI, depth or experience in GraphRAG, Knowledge Graphs, and Agentic System Design.
Requirements
Required
Qualifications:
- 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.
Skills Required
- 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, 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
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The Company
What We Do
Omm IT Solutions is a leading provider of IT consulting, analysis, and advisory services, specializing in delivering technical solutions for federal and state government agencies. Their offerings include application development, cybersecurity services, cloud advisory, network modernization, and data analytics.
