Position Details

Salary $269K – $307K USD / year

Type Full-Time

Experience senior

Exp. Years 8+ years

Education Master's or PhD in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field

Category AI & Machine Learning

About this role

Distinguished AI Engineer to drive production-grade AI systems in a financial services context, focusing on foundation models, LLMs, and scalable AI infrastructure.

Key Responsibilities

Partner with cross-functional teams to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference
Leverage a broad stack of Open Source and SaaS AI technologies
Invent state-of-the-art LLM optimization techniques
Contribute to long-term roadmap of foundational AI systems

Technical Overview

Stack includes PyTorch, Huggingface, VectorDBs, Nemo Guardrails on cloud platforms (AWS/GCP/Azure); emphasis on guardrails, governance, observability, and optimization of training/inference.

Ideal Candidate

The ideal candidate is a senior AI engineer with 6-8+ years of experience in AI/ML, strong hands-on capability with foundation models, LLM inference, and modern ML tooling. They should be proficient across Python, Go, Scala, or Java, and comfortable deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, Azure) with leadership experience to mentor teams.

Must-Have Skills

Bachelor's degree in CSAIElectrical EngineeringComputer Engineeringor related fields plus at least 8 years of experience developing AI and ML algorithms or technologiesor a Master's degree plus at least 6 yearsExperience programming with PythonGoScalaor Java

Nice-to-Have Skills

Cloud platforms (AWSGoogle CloudAzure)LLM optimizationLeadership of engineering teams

Tools & Platforms

PyTorchHuggingfaceAWS UltraclustersVectorDBsNemo Guardrails

Required Skills

Bachelor's degree in CS/AI/EE/CE or related; 8+ years AI/ML experience or Master's with 6+ years; Python/Go/Scala/Java; Foundation model training; LLM inference; VectorDBs; Nemo Guardrails; PyTorch; Huggingface; AWS Ultraclusters; VectorDBs; Open Source; SaaS AI technologies; Cloud platforms (AWSGoogle CloudAzure); CI/CD; Leadership; Domain and Data Driven Design

Hard Skills

PythonGoScalaJavaAWS UltraclustersHuggingfaceVectorDBsNemo GuardrailsPyTorchFoundation model trainingLarge language model inferenceSimilar ity searchOpen SourceSaaS AI technologiesCloud platforms

Soft Skills

LeadershipMentoringCommunicationPresentationCross-functional collaboration

Industry & Role

Industry Banking

Job Function Lead the development and deployment of scalable AI systems in a financial services context.

Role Subtype senior ai engineer

Tech Domains Python, Amazon Web Services, Google Cloud Platform, Microsoft Azure, Linux, Kubernetes, Docker, SQL / PostgreSQL

Clearance & Visa

Visa Sponsorship Yes

Keywords for Your Resume

distinguished ai engineerai engineermachine learningfoundation model traininglarge language model inferencesimilarity searchvectordbsnemo guardrailspytorchhuggingfaceopen sourcesaas ai technologiespythongoscalajavaaws ultraclustersamazon web servicesgoogle cloud platformmicrosoft azurecloud platformsleadershipmentoring

Deal Breakers

Bachelor's degree with less than 8 years of experience or Master’s with less than 6 years, Lack of hands-on experience with foundation models and LLMs, Inability to work with cloud platforms (AWS/Google Cloud/Azure)

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