3 days ago
Base Salary
$120k - $160k/yr
Responsibilities
- Build agents, skills, MCP servers, and tool integrations connecting enterprise data sources and APIs.
- Implement RAG pipelines, prompt templates, structured outputs, and agent workflows using approved frameworks.
- Build evaluation test sets and automated checks, and monitor quality, latency, and cost across lower and production environments.
- Develop asynchronous APIs and services, SDK components, reusable libraries, and developer documentation.
- Write clean, tested, documented code; participate in code reviews and contribute to unit and integration testing.
- Troubleshoot issues, support production releases, and follow change management, security coding, and technology delivery standards.
- Perform application and environment administration, monitoring, configuration, backup, authentication, tuning, incident management, and post-production support.
- Analyze business and system requirements, contribute to project estimates and timelines, and collaborate with analysts, developers, solution designers, and business partners.
- Maintain SLA and state-of-health monitoring, assess incident impact, communicate during incident resolution, and recommend productivity and operational improvements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, with college degree, specialized training, or equivalent work experience also recognized in the broader requirements.
- At least 3 years of software engineering experience, including at least 1 year building LLM or generative AI applications.
- Strong Python programming and software engineering fundamentals.
- Hands-on experience with LLM application patterns including RAG, tool or function calling, structured outputs, and prompt engineering.
- Experience with an agent or LLM application framework such as LangGraph, LangChain, or equivalent.
- Experience building asynchronous APIs and services with FastAPI or an equivalent framework.
- Familiarity with embeddings and vector search technologies such as Azure AI Search, pgvector, or FAISS.
- Practical experience with Git, containers, unit testing, and CI/CD.
- Preferred exposure to MCP, A2A, multi-agent systems, LLM evaluation or observability tools, and cloud platforms including Azure, AWS, or GCP.
- Preferred basic Kubernetes knowledge and Java or Spring Boot experience for enterprise integrations.
- Financial-services domain knowledge is preferred.
Benefits
- The role is based in New York, New York, with a 40-hour work schedule.
- TD offers health and well-being benefits, savings and retirement programs, paid vacation, flexible, and holiday time off, banking benefits and discounts, and career development support.
- Eligible colleagues may receive variable compensation or incentive awards, including cash and/or equity incentives.
- The company provides training, onboarding, regular career and performance conversations, online learning, mentoring programs, and development opportunities.
Tech Stack
Categories
About TD bank
TD Bank Group provides retail and commercial banking, credit cards, mortgages, wealth management, insurance, and capital-markets services to consumers, businesses, and institutional clients. Headquartered in Toronto and founded in 1955, it operates across Canada and the eastern United States. The company generates revenue from interest income, fees, and trading activities and is publicly traded on the TSX and NYSE under the symbol TD.