ML Engineer
Gradera (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy enterprise-grade Generative AI applications and autonomous multi-agent systems using Large Language Models.
- Build Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and knowledge graphs integrated with enterprise platforms such as GitHub, Jira, and ServiceNow.
- Optimize and monitor AI services focusing on latency, cost, accuracy, hallucination reduction, and deploy solutions using cloud-native technologies with observability and tracing.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field.
- 3+ years of software engineering experience with Python.
- Hands-on experience with Large Language Models and Generative AI, including strong knowledge of RAG, embeddings, vector search, and prompt engineering.
- Experience building APIs with FastAPI or similar frameworks and familiarity with cloud platforms like Azure, AWS, or GCP.
Ideal Candidate Profile
- Experienced in agentic AI and multi-agent architectures, familiar with LangGraph, AutoGen, CrewAI, or Semantic Kernel.
- Skilled in building scalable AI systems with knowledge of Neo4j, GraphRAG, MLflow, Hugging Face, Kubernetes, Docker, and cloud-native deployment.
- Comfortable working at the intersection of AI research and software engineering, with a focus on productionizing AI solutions and integrating them into complex enterprise environments.