Arrowstreet Capital, Limited PartnershipBoston, MA, United States
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Job Overview
We are looking for a Senior AI Software Developer 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### 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.
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