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

 

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.