Generative AI Engineer
Core
Design, build, and deploy advanced Agentic AI systems for enterprise Global Business Services use cases including metadata generation, search optimization, and workflow automation.
Role type
Senior IC full-stack GenAI engineer
Builds
Agent-based AI solutions, full-stack applications, and reusable agent frameworks for process automation and intelligent search
Domain
Enterprise Global Business Services, Generative AI, Agentic AI
Deliverable
production ML models | product features
Required skills
Python, LLMs, Agentic AI frameworks (LangChain, LlamaIndex, Haystack), JavaScript/TypeScript (React, Next.js, Node.js), search & retrieval systems, vector databases (Pinecone, Weaviate, FAISS), MLOps, DevOps (Docker, Kubernetes, Jenkins, Terraform), cloud-native deployments (AWS/GCP/Azure), enterprise systems integration (APIs, RPA, workflow engines), software engineering principles (Git, testing, CI/CD)
Preferred skills
Experience mapping AI capabilities to real-world workflows, mentoring junior engineers
Technologies
LangChain, LlamaIndex, Haystack, React, Next.js, Node.js, Pinecone, Weaviate, FAISS, Docker, Kubernetes, Jenkins, Terraform, AWS, GCP, Azure
Responsibilities
Architect and scale agent-based AI solutions leveraging LLMs and orchestration frameworks; Build end-to-end full-stack applications integrating AI models into enterprise systems; Develop reusable agent frameworks for process automation, intelligent search, and document understanding; Lead integration of AI solutions with ERP, CRM, ticketing, and knowledge platforms; Ensure production-ready deployment using MLOps + DevOps best practices; Mentor junior engineers and drive engineering best practices across AI and full-stack development
Seniority
Senior, hands-on IC