Senior AI Software Engineer

Reposted 5 Days Ago
Boston, MA
In-Office
115K-325K Annually
Senior level
Financial Services
The Role
Design, develop, and deploy advanced GenAI solutions, integrating data sources and working with cross-functional teams to enhance AI capabilities.
Summary Generated by Built In

Job Overview

We are looking for a Senior AI Software Engineer to join our Tooling and Automation team. Our team is at the forefront of building innovative Agentic AI solutions that transform how the firm leverages artificial intelligence to deliver insights and automation. As a team member, you will design, develop, and deploy state-of-the-art GenAI solutions, integrating multiple data sources and collaborating closely with Product, Data, Engineering, and Compliance. The ideal candidate is passionate about artificial intelligence, self-driven, team-oriented, and motivated to build, maintain, and optimize responsible and scalable AI solutions.

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

Qualifications

  • 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

  • Experience with MLOps, infrastructure-as-code frameworks (Ansible, Terraform, CloudFormation), or DevOps CI/CD tools (e.g., GitLab) is a nice to have

  • Experience building and/or deploying Generative AI, LLMs (e.g., LLama), and RAG implementations is an asset

  • Familiarity with MCP tooling and agentic frameworks is an asset

  • Experience with compliance, responsible AI, or ethical AI considerations is an added value

  • Full stack development skills (e.g., React or other modern web frameworks) are a plus

  • OS-level experience (Linux and/or Windows) is a plus

The base salary range for this position is $115,000 - $325,000 per year.

Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture. Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate’s base salary placement within the listed range will vary based on the candidate’s relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process.  

Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world. 

All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law.

Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.

Top Skills

Ansible
AWS
CloudFormation
Docker
Gitlab
Hugging Face
Kubernetes
Python
PyTorch
TensorFlow
Terraform
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The Company
HQ: Boston, MA
438 Employees
Year Founded: 1999

What We Do

Arrowstreet Capital is a Boston-based investment manager that provides global and international equity investment strategies and fund products to institutional investors such as pension plans, endowments, foundations, and registered/unregistered commingled investment funds.

We offer a select range of global equity investment strategies managed as long-only, alpha extension and long/short utilizing a broad range of instruments, including swaps and futures. Our investment process utilizes quantitative methods that focus on identifying and incorporating investment signals into our proprietary return, risk and transaction cost models. Our investment approach involves creating and investing in diversified equity portfolios. We utilize a structured investment process that attempts to add value relative to a client specific benchmark. This involves identifying opportunities across companies, sectors and countries by evaluating a diverse set of fundamental and market-based predictive factors. Portfolios are constructed through the use of a mean variance optimizer and proprietary risk and transaction cost models.

Arrowstreet Capital manages approximately $100 billion for over 200 client relationships in North America, the United Kingdom, Europe and the Asia-Pacific regions.

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