AI Engineer – GenAI / Agentic Systems Full Time NEW

About the Role

We are looking for a highly skilled Python AI Engineer with strong experience in Generative AI and Agentic Systems. This role focuses on building scalable, production-grade AI solutions using LLMs, advanced RAG architectures, and modern cloud platforms.

Key Responsibilities

• Build and deploy Generative AI applications leveraging foundation models and advanced architectures such as GraphRAG
• Develop autonomous AI agents using modern agentic frameworks
• Design and implement RAG pipelines and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or GCP)
• Build scalable REST APIs for LLM-driven applications integrated with enterprise data sources
• Implement LLM evaluation frameworks (e.g., Ragas, LangSmith, or custom benchmarks) to measure response quality, groundedness, and hallucination rates
• Apply LLMOps/MLOps best practices, including CI/CD pipelines, prompt/version management, automated testing, and monitoring
• Work with embeddings, knowledge graphs, and ontology extraction at scale
• Collaborate across engineering teams, mentor developers, and contribute to AI innovation initiatives
• Own end-to-end development lifecycle, from design to deployment and production support

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field
• 7+ years of experience in AI/ML-focused software engineering
• Proven experience building LLM-based or agentic AI systems in production
• Strong expertise in Python and modern AI frameworks
• Hands-on experience with RAG/GraphRAG, embeddings, and knowledge graphs
• Experience deploying applications on AWS, Azure, or GCP
• Familiarity with LLMOps/MLOps tools and evaluation frameworks
• Strong problem-solving, communication, and collaboration skills