AI Deployment Engineer

This role is responsible for the technical implementation of agents and workflows on Medable's Agent

Studio platform. The primary work is full-stack engineering: building and maintaining server-side

applications, databases, API integrations, and front-end interfaces that support agentic clinical

deployments. The engineer also executes acceptance testing, maintains build documentation, and

provides structured product feedback before any agent hands off to a Forward Deployed Engineer

(FDE).

Core Responsibilities

Engineering & Build

? Build and maintain full-stack infrastructure supporting Agent Studio deployments: React,

Node.js, REST APIs, Postgres, Docker.

? Configure workflow orchestration, task routing logic, Human-in-the-Loop (HITL) escalation

gates, and confidence scoring thresholds.

? Use AI-native engineering tools and workflows - Claude Code, Cursor, Model Context

Protocol (MCP) integrations - as standard practice.

? Set up and test MCP connector integrations with clinical systems: Electronic Data Capture

(EDC), Clinical Trial Management System (CTMS), electronic Trial Master File (eTMF), and

sponsor-specific tools.

? Write and refine agent prompts to Medable's context engineering standards: precise,

functional, and Good Practice (GxP)-defensible.

? Identify reusable patterns across builds and contribute documented components to the shared

pattern library.

Quality & Documentation

? Execute acceptance testing against Medable's formal quality standards before FDE handoff.

? Document test results, log failures with root causes, and iterate until pass criteria are met.

? Systematically evaluate and debug AI outputs and workflows: identify whether failures stem

from model behavior, prompt design, integration issues, or configuration gaps before

escalating or iterating.

? Build and maintain a standard helpdesk subagent for each deployed clinical agent.

? Maintain build documentation clear enough for another engineer to pick up or configure the

agent in a new environment.

Product Feedback

? Capture where Agent Studio creates friction, where platform capabilities fall short, and where

gaps limit reusability.

? Submit structured product feedback to the Agent Studio & Services team. Surface gaps with

specifics, not anecdotes.

Scope & Decision Rights

? Owns technical implementation, quality gates, and documentation for all assigned agents and

workflows on Agent Studio.

? Has decision authority over Agent Studio configuration, prompt design, and workflow

orchestration within approved, developer-ready specifications.

? Accountable for acceptance testing before FDE handoff.

? Provides structured product feedback that directly informs the Agent Studio platform roadmap.

Experience, Skills & Capabilities

? 1-3 years in software engineering, applied artificial intelligence (AI)/machine learning (ML), or

clinical technology.

? Hands-on experience with large language model (LLM) orchestration or agentic AI platforms.

? Experience with AI-native engineering tools: Claude Code, Cursor, MCP integrations, or

equivalent.

? Learns unfamiliar tools and systems quickly; demonstrates a track record of picking up new

stacks or platforms without heavy ramp time.

? Experience producing tested outputs from formal specifications. Structured discovery

experience is a plus.

? Strong prompt engineering skills: precise, auditable instructions. Strong system integration

skills: API connections, connector configuration, and agent output flow into clinical systems.

? Ability to move quickly from a problem to a working build without dropping quality gates.

? Ability to produce structured documentation for build decisions and test results.

? Understanding of GxP regulatory requirements for audit trails, HITL gates, and confidence

thresholds preferred.

? System-level thinking to identify reuse opportunities and drive consistency across builds.

? Comfortable navigating ambiguous inputs. Asks clarifying questions before building, not after.

? Effective collaborator in a distributed team environment.

MUST be able to work some PT hours, 6:00 am to 10:00 am PT Preference for Bangalore

But open to Latam for hours!