We are looking for a highly skilled and experienced AI engineer to lead the development of AI applications.
Architect and implement highly performant and scalable AI services, effectively integrating with GCP's comprehensive AI ecosystem.
Collaborate closely with product managers, data scientists, and MLOps engineers to translate complex business requirements into tangible AI-powered features.
Continuously research and apply the latest advancements in LLM technology, prompt engineering, and AI frameworks to enhance application capabilities and performance.
Key Responsibilities :
Develop and deploy production-grade AI applications and microservices primarily using Python and FastAPI, ensuring robust API design, security, and scalability.
Design and implement end-to-end LLM pipelines, encompassing data ingestion, processing, model inference, and output generation.
Utilize Google Cloud Platform (GCP) services extensively, including Vertex AI, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery, to build, train, and deploy LLMs and AI models.
Expertly apply prompt engineering techniques and strategies to optimize LLM responses, manage context windows, and reduce hallucinations.
Implement and manage embeddings and vector stores for efficient information retrieval and Retrieval-Augmented Generation (RAG) patterns.
Work with advanced LLM orchestration frameworks such as LangChain, LangGraph, Google ADK, and CrewAI to build sophisticated multi-agent systems and complex AI workflows.
Integrate AI solutions with other enterprise systems and databases, ensuring seamless data flow and interoperability.
Participate in code reviews, establish best practices for AI application development, and contribute to a culture of technical excellence.
Keep abreast of the latest advancements in GCP AI / ml services and broader AI / ml technologies, evaluating and recommending new tools and approaches.
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Solution Architect • Dombivli, Maharashtra, India
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