Senior AI Software Engineer at Arrowstreet Capital

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

FinanceIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field
Minimum of 5 years of programming experience, including substantial hands-on experience with Python
Demonstrated expertise in designing and deploying machine learning, GenAI, or LLM-based solutions
Strong analytical, problem-solving, and critical-thinking skills
Experience with integrating structured and unstructured data sources into AI/ML models
Familiarity with standard AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
Experience developing and maintaining data pipelines and RESTful APIs
Strong background in data structures, algorithms, and layered architecture
Experience with container technologies such as Docker, Kubernetes
Experience with AWS or other public cloud services, especially for deploying AI/ML workloads

Responsibilities

Design, develop, and deploy Agentic AI solutions leveraging industry-standard AI frameworks
Integrate diverse structured and unstructured data sources into GenAI models to broaden functionality and deliver actionable insights
Utilize MCP tooling to ingest disparate data sources for agent-driven applications
Collaborate with cross-functional teams (Product, Data, Engineering, Compliance) to scope and implement new GenAI use cases and solutions
Develop, test, and maintain robust APIs and data pipelines for efficient data ingestion, transformation, and output within GenAI frameworks
Continuously monitor advancements in Generative AI and Large Language Models (LLMs) to proactively recommend and implement relevant updates
Document AI system designs, experiments, code, and processes for reproducibility, transparency, and knowledge sharing across the team
Optimize GenAI and agentic solutions for performance, scalability, and responsible/ethical AI practices
Write unit tests and perform code reviews to ensure high quality, reliable, and maintainable code
Stay current with emerging trends and technologies in GenAI, Agentic AI, and related fields, applying them to enhance projects and infrastructure

Skills

Key technologies and capabilities for this role

GenAIAgentic AILLMsAI frameworksdata pipelinesAPIsMCP toolingunit testscode reviews

Questions & Answers

Common questions about this position

What qualifications and experience are required for this Senior AI Software Engineer role?

Candidates need a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field, minimum 5 years of programming experience with substantial hands-on Python experience, and demonstrated expertise in designing and deploying machine learning, GenAI, or LLM-based solutions.

What key technical skills are needed for this position?

Required skills include strong Python programming, expertise in AI/ML frameworks like PyTorch, TensorFlow, and Hugging Face, experience with data pipelines, RESTful APIs, Docker, Kubernetes, and AWS for AI/ML deployments.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of team will I be working with, and what collaboration is expected?

You'll join the Tooling and Automation team building Agentic AI solutions, collaborating closely with cross-functional teams including Product, Data, Engineering, and Compliance to scope and implement new GenAI use cases.

Arrowstreet Capital

Investment management for global equity strategies

About Arrowstreet Capital

Arrowstreet Capital specializes in managing global and international equity investments for institutional clients, including pension plans and foundations. Their investment strategies include long-only, alpha extension, and long/short approaches, utilizing various financial instruments like swaps and futures. The company employs quantitative methods to analyze investment signals and develop proprietary models for return, risk, and transaction costs. This structured investment process aims to create diversified equity portfolios that seek to outperform specific benchmarks by identifying opportunities across different companies, sectors, and countries. With around $100 billion in assets under management, Arrowstreet Capital serves over 200 clients across North America, Europe, and the Asia-Pacific region.

Boston, MassachusettsHeadquarters

1999Year Founded

SECONDARY_PRIVATECompany Stage

Quantitative Finance, Financial ServicesIndustries

201-500Employees