AI Engineer (Python LLMs & GraphRAG)
Job Type: Full-Time / Contract
Job Summary:
We are seeking a skilled AI Engineer with strong Python expertise and hands-on experience in LLMs GraphRAG and agentic frameworks. This role focuses on building scalable production-ready AI applications using modern GenAI technologies.
Key Responsibilities:
- Build AI applications using LLMs and advanced techniques like GraphRAG
- Develop autonomous agents using modern frameworks
- Design and implement REST APIs and full-stack solutions
- Deploy AI workloads on cloud platforms (AWS Azure or GCP)
- Apply LLMOps/MLOps best practices (CI/CD monitoring scaling)
- Work with embeddings knowledge graphs and ontology-based systems
- Collaborate across teams and contribute to technical innovation
Required Skills:
- 5 years of AI/ML-focused software engineering experience
- Strong Python skills and experience with AI/ML libraries
- Hands-on experience with LLMs and GenAI applications
- Experience with GraphRAG embeddings and knowledge graphs
- Full-stack development experience (backend frontend basics)
- Cloud experience (AWS Azure or GCP)
- Strong problem-solving and communication skills
AI Engineer (Python LLMs & GraphRAG) Job Type: Full-Time / Contract Job Summary: We are seeking a skilled AI Engineer with strong Python expertise and hands-on experience in LLMs GraphRAG and agentic frameworks. This role focuses on building scalable production-ready AI applications using modern Ge...
AI Engineer (Python LLMs & GraphRAG)
Job Type: Full-Time / Contract
Job Summary:
We are seeking a skilled AI Engineer with strong Python expertise and hands-on experience in LLMs GraphRAG and agentic frameworks. This role focuses on building scalable production-ready AI applications using modern GenAI technologies.
Key Responsibilities:
- Build AI applications using LLMs and advanced techniques like GraphRAG
- Develop autonomous agents using modern frameworks
- Design and implement REST APIs and full-stack solutions
- Deploy AI workloads on cloud platforms (AWS Azure or GCP)
- Apply LLMOps/MLOps best practices (CI/CD monitoring scaling)
- Work with embeddings knowledge graphs and ontology-based systems
- Collaborate across teams and contribute to technical innovation
Required Skills:
- 5 years of AI/ML-focused software engineering experience
- Strong Python skills and experience with AI/ML libraries
- Hands-on experience with LLMs and GenAI applications
- Experience with GraphRAG embeddings and knowledge graphs
- Full-stack development experience (backend frontend basics)
- Cloud experience (AWS Azure or GCP)
- Strong problem-solving and communication skills
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