Senior AI/ML Engineer — Fintech (RAG/LLMs) Hybrid

Datalign Advisory; Cambridge (MA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation with equity

Flexible hybrid environment

Direct impact on clients and advisors

Job summary

Datalign Advisory in Cambridge is seeking a Senior Software Engineer specializing in AI/ML to lead the design and implementation of their systems. The role involves collaborating with teams to develop innovative AI capabilities and ensuring product security. Candidates must have over 7 years of experience in software engineering, practical knowledge of Python, and ideally a Bachelor's degree in Computer Science. This position offers competitive pay, equity opportunities, and a flexible hybrid work environment.

Qualifications

• 7+ years of software engineering experience in production AI/ML systems.
• Proven technical project leadership with high autonomy.
• Strong communication skills and ability to align technical efforts with business goals.

Responsibilities

• Lead the design and implementation of AI/ML systems powering core products.
• Collaborate with product and design teams for AI capability development.
• Build and scale LLM systems, ensuring security and reliability.
• Mentor engineers and foster a culture of technical excellence.

Skills

Software engineering

AI/ML expertise

Python

TypeScript

Go

Distributed systems

Cloud infrastructure

Technical leadership

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Job description

Datalign Advisory in Cambridge is seeking a Senior Software Engineer specializing in AI/ML to lead the design and implementation of their systems. The role involves collaborating with teams to develop innovative AI capabilities and ensuring product security. Candidates must have over 7 years of experience in software engineering, practical knowledge of Python, and ideally a Bachelor's degree in Computer Science. This position offers competitive pay, equity opportunities, and a flexible hybrid work environment.