Machine Learning Engineer

The Opportunity

As a Machine Learning Engineer at Menos AI, you will design, build, and optimize the specialized AI agents that power our research intelligence platform for institutional asset managers. Our platform processes large-scale financial data to deliver actionable insights that transform how investment teams operate. 

You will work across multi-LLM pipelines (Anthropic, OpenAI, Gemini), agentic orchestration frameworks, and production infrastructure to ship AI capabilities that integrate seamlessly into our clients’ workflows. If you thrive on owning end-to-end product development and want to define a new era of human–AI collaboration in finance, this role is for you. 

Responsibilities 

* Build AI Agents for Financial Workflows: Develop specialized agents for asset management processes—narrative extraction, sell-side research processing, trade idea classification, and analyst credibility scoring. 

* Design and Orchestrate LLM Pipelines: Architect multi-model orchestration pipelines, engineer prompts, and build robust evaluation frameworks to ensure quality at scale. 

* Own End-to-End ML Development: Contribute across the full ML lifecycle: data engineering, model selection, fine-tuning, inference optimization, and evaluation pipelines. 

* Architect Reliable Production Systems: Build secure, scalable infrastructure to serve ML models, including RAG pipelines, hybrid search (MongoDB Atlas), and low-latency APIs. 

* Prototype and Innovate: Rapidly develop proofs of concept and iterate on emerging AI tools to keep Menos AI at the frontier of applied AI in finance. 

Minimum Qualifications 

Technical Foundations 

* Proven proficiency in algorithms, data structures, and software engineering (Python required; additional languages a plus). 

* Hands-on experience building applications with LLM orchestration frameworks (e.g., LangGraph or similar). 

* Working knowledge of foundation models, Retrieval-Augmented Generation (RAG), and agentic AI architectures. 

End-to-End ML Experience 

* Demonstrated ability to handle data engineering, model training/fine-tuning, and serving pipelines. 

* Understanding of MLOps practices, distributed training, and CI/CD for ML systems. 

NLP and Text-Heavy Workflows 

* Hands-on experience with NLP at scale: document processing, text classification, information extraction, or summarization using modern transformer-based models. 

Professional Experience 

* 3+ years of relevant experience in software engineering or machine learning engineering. 

Preferred Qualifications 

* Large-Scale Infrastructure: Experience with distributed computing frameworks, GPU-accelerated workflows, and low-latency model serving. 

* Financial Domain: Familiarity with financial market data, credit/equity research, or processing unstructured documents (SEC filings, research reports). 

* Startup Mindset: Experience in fast-moving environments with a track record of owning problems end-to-end. 

* Seniority: 5+ years of experience for senior-level consideration. 

Why Menos AI? 

We aren't just building models; we are building the central intelligence layer for investment organizations. This role allows you to move beyond traditional quant silos and combine quantitative rigor with AI into a unified workflow. You will work alongside top-tier PhDs and technologists to shape the future of factor research. 

Compensation: We offer competitive salary and equity packages designed to attract and retain the best talent in the industry.