Description

Build and deploy GenAI applications, autonomous agents, and RAG-based services using Python and modern cloud infrastructure.

This role is on-site.

Responsibilities

• Build GenAI applications leveraging foundation models and GraphRAG architectures.
• Design and deploy RAG-based services and scalable REST APIs using Python (FastAPI), Docker, and cloud platforms.
• Develop autonomous AI agents using modern agentic frameworks.
• Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks.
• Apply LLMOps/MLOps practices including CI/CD pipelines, prompt management, and monitoring.

Required Skills

• 5+ years of AI/ML-focused software engineering experience.
• Strong expertise in Python and modern AI frameworks.
• Production experience building LLM-based or agentic AI systems.
• Experience with RAG / GraphRAG implementations and embeddings at scale.
• Experience deploying AI workloads to AWS, Azure, or GCP.
• Familiarity with LLMOps/MLOps tooling and model evaluation frameworks.
• Bachelor's degree in Computer Science, AI/ML, or related field.

Preferred Skills

• Experience developing systems leveraging embeddings, knowledge graphs, and ontology extraction.

Key Skills

Education

Bachelor's degree