FULLSTACK DEVELOPER - ENTERPRISE AI PLATFORMS (GEMINI)

Newpage Solutions; India; Remoto; INR 3.500.000 - 5.200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation

Remote-first culture

Career growth opportunities

Descrizione del lavoro

Newpage Solutions is seeking a Fullstack Developer with deep Gemini Enterprise experience to design and build backend services, data mappings and admin tooling for enterprise AI platforms. You will own end-to-end data connectors, agents and permission scoping, and automate provisioning via CI/CD pipelines.

Top candidates will bring 5+ years in Python/TypeScript, strong backend focus, and hands-on Gemini functionality with security-conscious reviews and scalable deployments across cloud

Competenze

• 5+ years building production fullstack apps in Python and TypeScript.
• Deep Gemini platform knowledge and admin capabilities.
• Experience with data connectors, agents and skills lifecycle.

Mansioni

• Design and build backend services, APIs and data mappings for Gemini.
• Create admin interfaces to monitor usage and access controls.
• Build or integrate agents and extensions for client use cases.
• Ship features end-to-end from intake to production.

Conoscenze

Fullstack development

Python

TypeScript

API design

Data mappings

Web frameworks

Gemini platform

CI/CD

Terraform

GitHub Actions

Formazione

BSc or MSc in CS

Strumenti

Gemini Platform

Terraform

GitHub Actions

Azure DevOps

Python Backend

React/Next.js

Descrizione del lavoro

FULLSTACK DEVELOPER ENTERPRISE AI PLATFORMS (GEMINI)

Location: Remote | Type: Full-time / Contract

About Newpage Solutions

Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations including pharmaceutical, biotech and healthcare leaders to build transformative AI and data-driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centred practices. We are proud to be Great Place to Work certified for three consecutive years, hold a top Glassdoor rating, and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. We foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people's lives.

Your Mission

We are hiring a Fullstack Developer who knows the Gemini platform from the inside how Gemini Enterprise is administered, how agents, data connectors, extensions and Gems are built, registered, scoped and distributed, and how access and permissions actually flow through them.

You will be embedded with a large enterprise client as part of a small engineering pod, alongside engineers who own other enterprise AI platforms. You will own the path by which new data connectors, agents and skills reach users: from intake through access group creation, identity provider synchronisation, connector registration, per-tool permission scoping, testing, documentation and closure with the requester. You will review third-party components for security and quality before release, and replace manual console work with automated, repeatable pipelines.

This is not an administration role. Most of your time goes into building: the backend services, data mappings and integrations that wire the platform into the client's systems, and the internal tooling that gives platform owners visibility and control over how AI capabilities are being used. You should be as strong in the backend APIs, identity, data, infrastructure as code as you are in the UI.

You won't wait for a refined backlog or a separate platform team. You will take a vague request, work out what is actually needed, build it, and stand it up in production yourself. This is a builder role for engineers who combine solid fullstack fundamentals with a deep, practical understanding of the Gemini platform and its extension model.

What You'll Do

Build & Integrate

• Design and build the backend services, APIs and data mappings that connect Gemini to enterprise systems identity, data sources, ticketing and the connectors in between.
• Build internal tooling and admin interfaces (React / Next.js over Python or TypeScript backends) that give platform owners visibility into usage and control over which capabilities are available to whom.
• Build or integrate agents and extensions for the client's own use cases Agent Designer, ADK, Gemini CLI extensions, or LLM-powered services and agents on whichever orchestration framework fits (LangGraph, Google ADK, AutoGen, Semantic Kernel, OpenAI Agents SDK or similar), integrating models through APIs, tool calling / MCP and structured outputs and register them in Gemini Enterprise so the right people can use them.
• Take a vague request from a business or platform owner, work out what is actually needed, ship a working version quickly, and harden what survives contact with real users.

Own Connector & Agent Requests End to End

• Own data connector, agent and skill requests for the enterprise Gemini platform from intake through to closure with the requester.
• Create access groups and manage identity provider synchronisation (SSO / SCIM with Okta, Entra ID or Google Cloud Identity) so access follows existing team and group structures.
• Register connectors and data stores and apply per-tool permission scoping, granting only the access each capability needs.
• Test each connector and agent before release, document what it does and how to use it, and close the loop with the requester.

Configure, Distribute & Review Platform Capabilities

• Configure and distribute agents, skills, extensions and Gems to the right audience enterprise-wide, group-scoped or on request with a clear understanding of the scoping controls and what each one actually gates.
• Conduct security and quality reviews of third-party and externally authored agents, extensions and connectors before release: dependencies, bundled scripts, and exposure to prompt injection or data exfiltration.
• Define remediation or approval decisions and document them so the standard is repeatable.

Automate Provisioning

• Automate setup, registration and provisioning through CI/CD pipelines and infrastructure as code (Terraform) in place of manual console configuration.
• Build parameterised deployments across development, staging and production environments.
• Turn recurring manual requests into reusable, version-controlled automation.

What You Bring

• 5+ years building production fullstack applications in Python and TypeScript APIs, integrations and modern web frameworks (FastAPI, Node / Fastify, React / Next.js). You are backend-strong: data mappings, integration plumbing and wiring systems together is where you spend most of your time, not just the UI.
• Deep, hands‑on knowledge of the Gemini platform: Gemini Enterprise administration (data connectors and data stores, agent registration, end-user feature controls, IdP‑synced groups and access) and the Gemini API, plus Gemini for Google Workspace (Gems and admin controls) where it is in use. You know how capabilities are packaged, scoped and distributed and where the sharp edges are. Familiarity with Vertex AI and the agent stack (ADK, Agent Runtime, A2A) is useful rather than essential.
• Hands‑on experience with Gemini function calling / tool use and MCP servers, including tool permissions and capability scoping.
• Hands‑on experience building agents or LLM integrations with at least one orchestration framework (LangGraph, Google ADK, AutoGen, Semantic Kernel, OpenAI Agents SDK or similar), and comfortable switching the team's framework is not fixed.
• Security‑mindful reviewing of code and AI components: dependency analysis, script review, and a practical understanding of prompt injection and data exfiltration risks.
• CI/CD pipelines (GitHub Actions, Azure DevOps, Cloud Build or similar) and infrastructure as code with Terraform across AWS, Google Cloud or Azure, including parameterised multi‑environment deployments.
• Structured, disciplined use of AI‑assisted development (Gemini CLI, Claude Code or similar) with review, not on autopilot.
• Clear written communication, and the confidence to reframe a vague request into something concrete rather than wait for someone else to define it.
• Bachelor's or Master's in Computer Science or a related technical discipline.

Bonus Skills / Experience

• Working knowledge of a second enterprise AI platform Claude (Claude Enterprise, Claude Code), Microsoft Copilot Studio, AWS Bedrock or Azure AI Foundry. A strong plus: you will be expected to provide cover across platforms.
• Background in AppSec, supply‑chain security or security review processes.
• Experience in pharma, life sciences or other regulated industries.
• Relevant cloud or security certifications (AWS, Google Cloud, Azure, Terraform Associate).
• A recent public trail of built things GitHub, side projects, OSS contributions, or writing about building with AI.

What We Offer

• A people‑first culture supportive peers, open communication, and a strong sense of belonging.
• Smart, purposeful collaboration work with talented colleagues to create technologies that solve meaningful business challenges.
• Balance that lasts we respect your time and support a healthy integration of work and life.
• Room to grow opportunities for learning, leadership, and career development, shaped around you.
• Meaningful rewards competitive compensation that recognises both contribution and potential.