stakeholders in a regulated financial-services environment. Roles and Responsibilities: Embed with banks Fixed Income teams... reusable patterns, accelerators, and components that can be scaled across other financial-services use cases...
. Experience building REST APIs and microservices. Experience with cloud platforms and Al services such as Azure Al, Azure OpenAl... practices. Preferred Qualifications Experience developing RAG-based solutions and Al agents. Experience with vector databases...
-end UI to backend services to cloud infrastructure and integrating AI enabled data platforms while also bringing domain...: Design, develop, test, and deploy full stack applications spanning UI, APIs, services, and data layers, owning features...
services to cloud infrastructure (AWS, GCP, or Azure). l AI Expertise: Experience on vector databases embeddings, semantic..., and enterprise tools to LLMs. l Microservices Integration: Wrap AI agents, RAG engines, and vector stores into modular, scalable...
environments. Strong experience with LLMs, prompt engineering, RAG, agent workflows, embeddings, vector databases and API-based... AI services. Strong cloud architecture knowledge across Azure, AWS or GCP, plus microservices, APIs, distributed systems...
AI solutions. Develop and integrate APIs and AI services with enterprise platforms and applications. Optimize AI models..., frameworks, and cloud services to enhance business outcomes. Contribute to engineering best practices, reusable AI components...
-on technical leader will evolve core backend services while building production-ready AI and machine learning capabilities... systems, prediction and scoring services, model serving, and agentic applications. This role is ideal for an engineer...
Agent SDK | RAG | Prompt Engineering | Vector Databases | FastAPI | REST APIs | AWS/Azure/GCP | Bedrock | Azure AI Foundry..., multi-agent workflows, tools, and orchestration pipelines. Develop production-grade Python services, APIs, integrations...
/TypeScript SQL / relational databases Generative AI / LLM integration RAG, prompt engineering, embeddings, vector... into applications Experience with RAG (Retrieval-Augmented Generation) Knowledge of prompt engineering, embeddings, vector...
knowledge, including chunking, embeddings, hybrid search, reranking, vector and graph databases, and keeping information fresh...: embeddings, vector stores and the retrieval quality problems that come with them Demonstrated experience evaluating AI system...