What are the responsibilities and job description for the AI Engineer position at TOPSYSIT?
AI Engineer
Hybrid-Onsite
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 Generative AI
Experience in building production grade solutions utilizing Generative AI as well as AI and ML components
Extensive hands-on experience in building Generative AI 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 Google Cloud Platform ecosystem such as Google Cloud Platform Vertex AI Vertex AI Vector Search Gemini Cloud Run Cloud SQL etc
Experience with agent frameworks such as Google ADK Lang graph Crew AI etc
Hands on experience in working with cloud AI services Google Cloud Platform Vertex AI Azure AI AWS Bedrock as well as managed large language models Preferred Google Cloud Platform but other cloud experience can be considered
Extensive experience in Python programming languages along with popular frameworks such as Flask Fast API etc
Experience with AIML deep learning TensorFlow Python NLP
Excellent understanding of Generative AI related concepts methodologies and techniques
Experience Qualifications
Bachelor’s degree in computer science or related field
5 years AIML experience including 2 years in Gen AI projects
Proficiency with Azure AI services Python
Experience with agent based frameworks Lang Chain Lang Graph 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