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MS Capital is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.
We are looking for a highly skilled AI Engineer with expertise in with deep technical expertise and practical understanding of agentic systems, LLM integration, and applied AI workflows in financial environments. The candidate will play a key role in designing and deploying intelligent agent applications that support trading, research, and operational automation across the hedge fund platform.
Key Responsibilities:
Required Qualifications:
Interested applicants please apply and/or send your resume to [Confidential Information]
Job ID: 152028215
Skills:
ticketing systems , workflow engines , Logging, Authentication, Python, Apis, Containers, tool calling, CI CD, Memory Design, agent architecture, enterprise APIs, multi-agent workflows, identity systems, orchestration frameworks, production observability, data platforms, cloud platforms, model routing, operational tools, LLM agentic AI, RAG, ML automation, backend services, code repositories
Skills:
Machine Learning, Artificial Intelligence, ELT, Gcp, Databricks, Azure, Etl, AWS, CrewAI, LangChain, multi-agent systems, data pipelines, data engineering workflows, workflow orchestration, model integration and orchestration, Agentic AI applications, agent frameworks, LangGraph, AutoGen, business intelligence solutions, cloud-native platforms, AI agents
Skills:
Pytorch, Python Programming, LSTMs, reinforcement learning, RNNs, graph theory, Hugging Face, Heterogeneous GNNs, Nvidia Triton, PyTorch Geometric, GNNs, Nvidia NIMs, HGNNs, VLLM, Agentic AI, Transformers, AI reasoning
Skills:
React, Vue, Python, LLM API integration, prompt engineering
Skills:
Github, Oauth2, Jwt, Sql, Sso, Git, Gcp, Bitbucket, Gitlab, Restful Apis, Azure, Python, AWS, LangChain, marketplace recommender systems, GRPC, LangGraph, agentic AI workflows, MCP