Manager - Senior AI/ML Engineer

The role

You will design, build, and operate production-grade AI and Generative AI solutions. This includes owning end-to-end data pipelines, model workflows, agentic systems, and cloud deployments.

What you will do

• Own AI/ML and GenAI solutions end to end
• Design enterprise RAG platforms
• Build production agentic systems
• Architect and operate MCP clients and servers
• Integrate agents with enterprise systems
• Define evaluation strategies and quality gates
• Build production services in Python
• Partner with product, architecture, data science, security, and business stakeholders
• Lead design and architecture reviews
• Mentor engineers

Required qualifications

• Bachelor's or Master's in Computer Science, Data Science, AI/ML, Engineering, or a related field or equivalent practical experience
• 5–9 years developing production software, data, ML, or AI solutions, including hands-on delivery of GenAI/LLM applications
• Advanced Python and practical experience with data/ML libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or equivalent)
• Strong grasp of LLM and agentic architecture: prompting, context engineering, embeddings, RAG, tool/function calling, structured outputs, orchestration, evaluation, and human-in-the-loop controls
• Proven experience designing APIs, distributed services, and event-driven or asynchronous workflows with secure tool execution for AI agents
• Hands-on experience with Git/GitHub and CI/CD, including automated build, test, security-scan, and deployment workflows
• Strong experience with AWS or Azure and containerized deployment using Docker
• Kubernetes and infrastructure-as-code experience expected
• A current, role-relevant AWS AI/ML certification or Microsoft Azure AI certification is mandatory
• Hands-on production experience with Model Context Protocol (MCP) is mandatory
• MLOps/LLMOps practices: experiment tracking, model and prompt versioning, tracing, evaluation, monitoring, and cost optimization

Nice to have

• GenAI or agent frameworks such as OpenAI Agents SDK, LangGraph/LangChain, Semantic Kernel, AutoGen, LlamaIndex, Amazon Bedrock Agents, or Azure AI Foundry Agent Service
• Enterprise search and vector technologies (pgvector, Pinecone, Weaviate, Milvus, Elasticsearch/OpenSearch, Azure AI Search, Amazon OpenSearch, or equivalent)
• LLMOps/observability platforms (MLflow or comparable) for tracing, evaluation, prompt management, and governance
• Strong SQL and data modeling; experience with streaming, workflow orchestration, data lakes, or lakehouse platforms
• Leading AI solutions in enterprise domains such as finance, accounting, operations, document intelligence, analytics, or compliance
• Responsible AI, model risk management, data governance, privacy, and regulatory/client-compliance familiarity
• Mentoring engineers, defining technical standards, and contributing to reusable platforms or open-source work

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) with company match
• PTO

About the company

Riveron partners with clients to solve complex finance challenges, guided by their DELTA values. Their entrepreneurial culture thrives on collaboration and delivering exceptional outcomes.