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Full Stack/Backend Engineer

Averosoft Inc.United States🇺🇸United StatesPosted Oct 2, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
22 hours ago
DockerFastAPINeo4jSQLAWSSSOActive DirectoryAzureJestKubernetesLLMPythonReactTypeScriptVaultViteVitestpytest

Job Description

This resource will be tasked with building and developing a tool for Due Diligence. They need to have both front end and back end development experience as they will be tasked with connecting to multiple different data sources and visualizing this data in the front end. Additionally, they will need experience using AI and building knowledge graphs. If they have experience hosting containerized applications on AWS that would be a plus. The scope of this work will be until the end of the year.

Needs to have experience in Identity Governance and using the Microsoft Graph API to create the security application mentioned in the job description.

Position Requirments:

3-5 years of Full Stack Experience , Computer Science Degree

AWS, Neo4j

AI, Prompt Engineering

IR Domain Expertise

Full-Stack AI & Access-Governance Engineer (Contract)

Team: BTS — M&A / EDGe · Type: Contract (full-time) · Location: Hybrid, U.S. hours · Openings: 3

The role

Build four AI tools for pharma BD/S&E analysts into supportable production services, and build the Deal Access Control Center — an Entra ID / Active Directory reconciliation service that governs access to all of them. Three interchangeable full-stack engineers; you move across backend, frontend, the LLM/agent layer, the Microsoft identity stack, and deployment.

What you'll build

  • AI tools (BD Deals Engine, Due Diligence, Triage, Landing Page): add test coverage, move secrets to a vault + service accounts, fix CI/CD and dependency pinning, add observability, extend document extraction (PDF/PPT/XLSX/DOCX), enforce an outbound-data guard, and preserve the RAG + citation-verification quality.
  • Deal Access Control Center: an idempotent, hourly reconciliation service that reads the deal "tent list", validates + gates entries (CDA, training), provisions deal-scoped Entra/AD security groups (APP-?Deal>-Owner/Editor/Viewer), and writes an immutable audit log. Integrate consumers by push (SharePoint, Teams, VDRs via Microsoft Graph) and pull (AI tools, Dataverse, ARCH at query time).

Technical requirements

Area

Must have

Languages

Python 3.11+, TypeScript, SQL

Backend

FastAPI (async), server-sent events / streaming

Frontend

React 18, Vite, Node

AI / LLM

LLM app development: agent tool-use loops, prompt engineering, streaming; RAG — embeddings, vector/similarity search, chunking, source grounding

Microsoft identity

Entra ID / Azure AD, Microsoft Graph API, security-group provisioning, SharePoint/Teams automation; RBAC, least-privilege, default-deny

Infra / DevOps

Docker, Kubernetes, CI/CD, secrets management; idempotent scheduled/reconciliation services

Quality

pytest + Vitest/Jest; adding tests to untested code

Experience

3-5 years full-stack; comfortable owning an unfamiliar codebase end-to-end

Nice to have

Identity governance (IGA — access certification, joiner-mover-leaver, audit logging) · Power Platform / Dataverse (row/column security) · knowledge graphs & Cypher · Claude Code extension points (skills, subagents, MCP connectors) · document parsing (PyMuPDF, python-pptx/docx, openpyxl) · VDR / external-party provisioning · regulated-enterprise deployment (proxy, SSO, internal gateways) · pharma BD / licensing / M&A domain.

Success

Tools are tested, observable, and reproducibly deployed with managed secrets. Access is granted within one hour of a tent-list entry, zero entitlements live outside a deal security group, revocation is immediate, and audit evidence is produced on demand.

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