Senior AI DeveloperLocation: New York, United StatesType: Full-timeDepartment: TechnologyJob SummaryWe are seeking a Senior AI Developer to support one of our premier clients—a leading global financial institution—with strong expertise in building intelligent AI agents and components that can reason, plan, and act autonomously. The ideal candidate will have hands-on experience developing scalable multi-agent AI systems using modern orchestration frameworks such as LangChain and LangGraph, integrating agentic workflows end-to-end, and shipping production-grade AI applications.ResponsibilitiesDesign and develop AI agents and autonomous multi-agent systems using modern agentic frameworks including LangGraph and LangChain, with the ability to architect agent graphs, define node transitions, and manage stateful agent workflowsBuild and orchestrate multi-agent pipelines—including supervisor agents, collaborative agent networks, and hierarchical agent architectures—to solve complex, multi-step financial use casesImplement guardrails, reasoning workflows, and ReAct-based patterns within LangChain/LangGraph to improve reliability, decision-making, and agent safetyDevelop memory management (short-term, long-term, episodic) and tool-use capabilities (MCP, LangChain Tools, custom tool integrations) for AI agent systemsLeverage LangGraph's stateful graph execution model to build resilient, interruptible, and human-in-the-loop agentic workflowsIntegrate LLM-powered agents with external APIs, databases, and enterprise data platforms via LangChain's retrieval, routing, and chain composition primitivesPartner closely with prompt engineers, data scientists, and platform teams to optimize AI application performance across multi-agent deploymentsBuild and maintain scalable Python-based services, APIs, and microservices that serve as agent execution environments and tool backendsDevelop and support AIOps capabilities and CI/CD pipelines for AI agent deployment, versioning, and monitoring (including LangSmith or equivalent observability tooling)Work with modern data platforms including Snowflake, Databricks, and Lakehouse architectures as grounding and tool-use data sources for agentsEnsure AI agent solutions are scalable, secure, observable, and production-readyEligibility Requirements8+ years of overall software engineering experience, with a strong focus on AI/ML systems in recent yearsHands-on production experience with LangChain—including chains, agents, tools, retrievers, memory modules, and prompt templatesHands-on production experience with LangGraph—including stateful graph construction, conditional edges, checkpointing, human-in-the-loop interrupts, and multi-agent graph topologiesDemonstrated experience designing and deploying multi-agent systems—including orchestrator/worker patterns, agent-to-agent communication, task delegation, and shared state managementExperience implementing guardrails, ReAct patterns, and chain-of-thought reasoning within agentic pipelinesStrong understanding of agent memory architectures (in-context, vector-store-backed, episodic) and tool-use patterns (function calling, MCP, LangChain tool wrappers)Familiarity with LangSmith or equivalent observability/tracing platforms for debugging and monitoring agent behaviour in productionStrong Python engineering skills including async programming, APIs, and microservicesExperience with AIOps and CI/CD pipeline development for AI agent deployment and lifecycle managementHands-on experience with Snowflake, Databricks, and Lakehouse architecturesStrong understanding of scalable distributed systems and cloud-native application developmentStrong communication and cross-functional collaboration skillsNice to HaveExperience with other agentic frameworks such as AutoGen, CrewAI, or OpenAI Assistants APIFamiliarity with LangGraph Cloud or self-hosted LangGraph Server for agent deploymentBackground in financial services AI applications (risk, compliance, trading, operations)Experience with vector databases (Pinecone, Weaviate, pgvector) as long-term memory stores for agentsContributions to open-source LangChain/LangGraph ecosystemIn the US, the target base salary for this role is $125,000-$140,000.
Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factorsHow to ApplyClick "Apply Now" to submit your resume through our career siteBe sure to include any relevant experience that aligns with the role.Qualified candidates will be contacted by a member of our recruitment team for next steps