Generative AI Engineer

Techolution

1 - 4 years

10 - 20 Lacs

hyderabad

Posted:None| Platform:

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Skills Required

vertex ai multiagents custom ai agents gcp cloud python generative ai tools adk llm

Work Mode

Work from Office

Job Type

Full Time

Job Description

LLM Development & Fine-Tuning
– Fine-tune and retrain Large Language Models (Falcon, LLaMA, Palm2, etc.) for domain-specific use cases, ensuring optimized performance and accuracy.
Custom AI Agent Development
– Design, build, and deploy custom AI agents and multi-agent systems using tools like Agentspace Vertex AI and ADK, enabling complex enterprise workflows.
RAG & Knowledge Retrieval
– Implement Retrieval-Augmented Generation pipelines with vector databases (Pinecone, Waviate, Chroma, FAISS) for efficient knowledge search and integration.
Integration with Enterprise Systems
– Build and manage integrations with Salesforce, SharePoint, Jira, ServiceNow, and other enterprise platforms for AI-powered automation.
Cloud & Infrastructure Orchestration
– Provision and manage AI workloads on GCP (Vertex AI), including cloud-native orchestration, RBAC, Okta SSO, and secure infrastructure setup.
Deep Learning & NLP
– Apply deep learning frameworks (PyTorch, TensorFlow) for NLP model development, optimization, and deployment into production environments.
Custom UI & User Interaction
– Develop intuitive, secure, and scalable UIs for AI agents with read/write access enablement in enterprise systems.
Testing, Refinement & Monitoring
– Conduct iterative testing, refinement, and audit logging of AI agents to ensure compliance, performance, and reliability.
Cross-System Workflow Automation
– Design and manage AI-driven workflows across multiple platforms, enabling seamless enterprise process automation.
Collaboration & Documentation
– Work closely with cross-functional teams to deliver production-grade AI solutions, maintaining clear technical documentation and knowledge transfer.

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