- Company Name
- HashRoot
- Job Title
- AI Engineer
- Job Description
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Job title
AI Engineer
Role Summary
Design, build, and operationalize AI solutions with a focus on a Model Context Protocol (MCP)–enabled integration layer. Enable generative and predictive AI across research, portfolio management, and operations by connecting models securely to enterprise data and tools.
Expectations
- 5+ years of professional AI/ML engineering experience, preferably in regulated or financial services.
- Immediate availability or short notice period.
Key Responsibilities
- Architect and deploy AI models, agents, and RAG pipelines that leverage proprietary data.
- Define technical architecture with data & AI leadership, integrating Snowflake, Databricks, APIs, and event streams.
- Build MCP servers and clients to allow AI assistants to discover and securely connect to internal systems.
- Establish MCP configuration, access control, observability, and governance for reliable AI interactions.
- Implement MLOps/LLMOps for model and MCP lifecycles: automation, monitoring, logging, and rollback.
- Collaborate with data engineers and platform teams to ensure clean, secure data access for AI.
- Evaluate external AI platforms (Azure OpenAI, Anthropic, etc.) and decide on native APIs vs MCP integrations.
- Produce POCs, mainstream proven solutions, and document reusable patterns, SDKs, and templates.
- Ensure all solutions meet enterprise security, privacy, compliance, IAM, data residency, and vendor risk standards.
Required Skills
- Proficient in Python and AI/ML frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face).
- Hands‑on LLM application design: RAG, tool calling, agents.
- Experience with Model Context Protocol (MCP) or similar integration approaches for LLMs.
- Knowledge of data/ML platforms, orchestration, APIs, microservices, Docker, Kubernetes.
- Familiarity with Azure AI/ML services, security, networking, and IAM.
- Strong communication to translate technical, business, and risk considerations.
Required Education & Certifications
- Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field (advanced degree preferred).
- Professional certifications in AI/ML, cloud platforms, or security are a plus.