Jefferies

AVP - Fullstack AI Engineer

Jefferies
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20 hours ago
Pune, IndiaStaff+

Responsibilities

  • Own production operations, monitoring, incident response, root-cause analysis, patching, upgrades, SLA adherence, and operational runbooks for the platform.
  • Design, build, and ship features across the React frontend and FastAPI backend.
  • Maintain and extend AI agent nodes, prompts, guardrails, tool bindings, evaluation workflows, and human-in-the-loop approval gates.
  • Develop and maintain integrations with Oracle ORC, PeopleSoft, background-check vendors, DocuSign, Exchange/Outlook, ServiceNow, LinkedIn RSC, Indeed, and Naukri.
  • Manage MongoDB/DocumentDB data models and pipelines, data quality, synchronization integrity, and auditability.
  • Own AWS infrastructure, infrastructure as code, CI/CD, environments, releases, security posture, and cost management.
  • Maintain dashboards, structured logs, metrics, tracing, agent audit trails, alerts, and observability processes.
  • Partner with HR Operations, Recruiting, Legal/Compliance, and IT stakeholders to prioritize and deliver platform capabilities.
  • Monitor, tune, and deploy specialized AI process agents and maintain the RAG knowledge base.
  • Architect data-masking and isolation pipelines for sensitive compensation, SSN, and diversity data and validate AI outputs for employment-law and compliance requirements.
  • Lead knowledge transfer from the delivery partner and serve as the internal technical authority for the platform.

Requirements

  • Strong professional software engineering experience with ownership of production systems.
  • Experience building async Python services with FastAPI, REST APIs, Pydantic, and server-sent events or streaming patterns.
  • Modern React, TypeScript, Vite, Tailwind CSS, and component-driven UI experience.
  • MongoDB or Amazon DocumentDB experience including document modeling, aggregation pipelines, async drivers, and performance tuning.
  • AWS cloud and DevOps experience with container runtimes such as ECS or EKS, Terraform or CloudFormation, Docker, and CI/CD pipelines.
  • Experience developing LLM applications or agentic systems using LangChain, LangGraph, prompt design, human-in-the-loop workflows, and evaluations.
  • Experience building enterprise API integrations, webhook ingestion, OAuth flows, and partner API connections across HRIS, ITSM, e-signature, email, and sourcing systems.
  • Experience with structured logging, metrics, tracing, dashboards, incident response, and operational runbooks.
  • Ability to address data sovereignty, PII handling, AI bias governance, employment compliance, and auditable automated decision workflows.

Tech Stack

AWSCSSDockerFastAPIGraphQLMongoDBPythonReactTailwind CSSTerraformTypeScript
Jefferies

About Jefferies

5,001-10,000 employees

Jefferies is a global investment banking and capital markets firm serving corporations, financial institutions, governments, and individuals with M&A advisory, underwriting, sales and trading, research, and wealth management. Founded in 1962 and headquartered in New York, it operates from 40+ offices worldwide. The firm earns fees and trading revenues and is owned by publicly traded Jefferies Financial Group (NYSE: JEF).

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