Arrowstreet Capital-posted 4 months ago
Senior
Boston, MA
251-500 employees

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.

  • 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
  • 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)
  • Experience building and/or deploying Generative AI, LLMs (e.g., LLama), and RAG implementations
  • Familiarity with MCP tooling and agentic frameworks
  • Experience with compliance, responsible AI, or ethical AI considerations
  • Full stack development skills (e.g., React or other modern web frameworks)
  • OS-level experience (Linux and/or Windows)
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