About the Role:
Low-Latency Technologies is hiring talented Gen AI Engineers to build cutting-edge Generative AI applications and autonomous Agentic AI systems on Google Cloud Platform (GCP). You will work with Vertex AI, Gemini Models, Agent Development Kit (ADK), LangChain, and advanced Agentic AI frameworks to develop scalable, enterprise-grade AI solutions including AI Copilots, RAG systems, and autonomous agents. This is a great opportunity to work on production-grade GenAI platforms solving real-world enterprise problems.
Key Responsibilities:
- Design, develop, and deploy Generative AI applications using Vertex AI and Gemini
- Build and orchestrate Agentic AI systems using ADK, LangGraph, CrewAI, LangChain, and LlamaIndex
- Develop and optimize RAG pipelines with vector databases
- Implement scalable AI workflows using BigQuery, GCS, Dataflow, and Vertex AI
- Build and deploy enterprise AI agents and copilots
- Develop AI microservices and APIs using Python and FastAPI
- Fine-tune, evaluate, and optimize LLM performance and cost efficiency
- Stay updated with the latest advancements in Generative AI and Agentic AI
Required Skills:
- 3–8 years of experience in Python, AI/ML, NLP, or Data Science
- Minimum 2+ years of hands-on experience in Generative AI, Prompt Engineering, and Agentic AI
- Hands-on experience with: Google Cloud Platform (Vertex AI, BigQuery, GCS), Generative AI, LLMs, and RAG, LangChain, LangGraph, LlamaIndex, CrewAI, or ADK, Prompt engineering and vector databases and Hugging Face, NumPy, Pandas
Preferred Skills:
- Experience with Google Agent Development Kit (ADK)
- Experience deploying models on Vertex AI endpoints
- Experience with vector databases: Pinecone, Weaviate, FAISS, Vertex AI Vector Search
- Experience with Docker, Kubernetes, and CI/CD pipelines
- Knowledge of MLOps and LLMOps best practices