Python AI Engineer Contractor
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
PLEASE NOTE:
- It is a 100% Onsite position in Dallas TX.
- Local Candidates preffered.
KEY REQUIRED SKILLS:
- Focus on building AI-driven solutions using Python including LLMs embeddings knowledge graphs and RAG architectures..
- Eligible Hacker Rank assessment.
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.
Requirements
REQUIRED SKILLS:
- 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.
Required Skills:
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.
Required Education:
Degree in Computer Science AI/ML or related field.5 years of AI/ML-focused software engineering experience.
