T
4 hours ago
Full-time
On-site
San Jose, California, United States
Position: AI Engineer

Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description. Duration: 12+ months – contract Location: San Jose, CA (Hybid – 3 days onsite a week) JOB DESCRIPTION SKILLS NEEDED : Azure AI, Python, MLOPS, GenAI - LLMOps, Machine Learning – AIOPS, Langchain and lang graph Job description 6 8 years of hands-on experience with Generative AI AI ML and Data Science technologies Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI Experience in building production grade solutions utilizing GenerativeAI as well as AI and ML components Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG prompt engineering embedding fine tuning etc Experience in working with structured as well as unstructured data for building RAG based solutions Experience with Al ML search and data services within GCP ecosystem such as GCP Vertex AI Vertex AI Vector Search Gemini Cloud Run Cloud SQL etc Experience with agent frameworks such as Google ADK Langgraph CrewAI etc Hands on experience in working with cloud AI services GCP Vertex AI Azure AI AWS Bedrock as well as managed large language models Preferred GCP but other cloud experience can be considered Extensive experience in Python programming languages along with popular frameworks such as Flask FastAPI etc Experience with AIML deep learning TensorFlow Python NLP Excellent understanding of Generative AI related concepts methodologies and techniques Experience Qualifications xsgimln Bachelor’s degree in computer science or related field 5 years AIML experience including 2 years in GenAI projects Proficiency with Azure AI services Python Experience with agentbased frameworks LangChainLangGraph is highly desirable Solid understanding of API integration test automation and software engineering principles Good teamwork and communication skills Skills Mandatory Skills :

MLOPS, GenAI - LLMOps, Machine Learning - AIOPS