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Senior Engineering Deployment · EST Co-located

You have the roadmap.
We have the engineers.

Senior full-stack, AI/ML, data, and DevOps engineers. On your team in days, not months from now.

Trusted for mission-critical architecture across Technology & AI/Data, Fintech, Healthcare EMR, and Streaming Spatial Systems.

Operational Guarantees 01 / DISPATCH
We're on the East Coast
Standups, pairing, and support, all in your working day
Senior, always
No junior swap-ins. The engineer you interview is the one who ships
10+ years
Senior engineers, shipping production software their entire careers
Code Delivered 10M+ Lines Shipped
Squad Archetypes

Who you'll be working with

Battle-tested senior contributors who drop into your GitHub org and sprint backlog on Day 1.

Full-stack & backend
Senior engineers who own a feature from schema to shipped UI.
ReactNext.jsTypeScriptNode.NETJavaPython
AI/ML & LLM integration
RAG pipelines, vector search, agent orchestration, eval and fine-tuning.
RAGLangChainVector DBsMCPEvalsFine-tuning
Data engineering
Pipelines built to feed ML systems, not just quarterly reports.
KafkaPostgreSQLRedshiftETLStreaming
Cloud & DevOps
Platform engineers who keep AI workloads running at 2am, not just at demo time.
AWSAzureGCPDockerKubernetesTerraform
And beyond
Additional senior technical roles sourced against your specific gap, on request.
On demand
Disciplinary Depth

What our engineers do

Every engineer on our team has already shipped production software. This isn't a training ground.

01
Full-stack & backend
React · Next.js
Node · .NET · Java
PostgreSQL · MongoDB · MySQL
REST · GraphQL

Senior engineers for product teams that need to move fast without dropping quality. Comfortable owning a service end to end, from API design and data model through to the interface on top of it.

  • Web and mobile apps in React, Next.js, and React Native
  • APIs and services in Node, .NET, or Java, using REST or GraphQL
  • Relational and document databases: PostgreSQL, MongoDB, MySQL, MS SQL
  • Cloud-native architecture on AWS or Azure
02
AI/ML & LLM integration
RAG · LangChain
Vector DBs
MCP & orchestration
Eval · Fine-tuning

The specialty that's hardest to hire for right now. Engineers who've taken LLM features from prototype to something a paying customer relies on.

  • Retrieval-augmented generation and vector search with Pinecone, Weaviate, and pgvector
  • Agent and tool orchestration using LangChain, LlamaIndex, and the Model Context Protocol
  • Model evaluation frameworks and fine-tuning
03
Data engineering
Kafka · Streaming
PostgreSQL · Redshift
ETL / ELT
BI dashboards

Data engineers who understand that an ML pipeline has different failure modes than a BI dashboard, and build accordingly.

  • Streaming and ETL pipelines feeding ML systems, using Kafka and WebSockets
  • Data warehousing and modeling in PostgreSQL, Redshift, and Oracle
  • Real-time analytics infrastructure and BI dashboards
04
Cloud & DevOps
AWS · Azure
GCP · Oracle Cloud
Docker · Kubernetes
Terraform

Platform engineers supporting AI workloads specifically. It's the infrastructure discipline that's easy to skip until an inference bill or an outage forces the issue.

  • Deployment architecture on AWS (ECS, Lambda, RDS), Azure (AKS, App Service), GCP, or Oracle Cloud Infrastructure
  • CI/CD and infrastructure as code with Docker, Kubernetes, and Terraform
  • Monitoring, alerting, and ongoing support
Contractual Modalities

Two ways to work with us

Add senior engineers into your existing team, or hand off a defined scope to a pod that runs itself.

Staff Augmentation

Engineers embedded in your team

One senior specialist or several. Each joins your standups, your sprint, your tools. You direct the work day to day, the same way you would with anyone else on your team.

  • Instant sync with your existing tech lead and tickets
  • No administrative overhead, payroll, or equipment burdens
  • Flexible scaling up or down with standard notice
Best for: filling one or more skill gaps on a team you already run.
Dedicated Pod

A full team, owning a scope

A senior-led pod takes on a defined project or product line, architecture through deployment, and reports against milestones rather than tickets.

  • Architect, Senior Devs, and QA bundled into one pod
  • Clear architectural documentation and clean handoffs
  • Executive delivery cadence with weekly working demos
Best for: a build that needs to move without consuming your internal team's bandwidth.
Frictionless Onboarding

How an engagement starts

From first conversation to an engineer on your team in a matter of days, once the contract is signed.

Step
01

Scope the gap

A short call to understand the skill, the seniority, and the timeline you actually need.

Timeline: 24 – 48 hours
Step
02

Meet the engineers

You meet the people who would actually do the work, with the project history behind them.

Timeline: Day 3 – 4
Step
03

Start building

We sign the agreement and start building together, with your priorities driving the work from day one.

Timeline: Day 5 onward
Step
04

Trial built in

The first two weeks are a paid trial. If the fit isn’t right, we swap the engineer at no cost to you.

100% risk mitigation
Shipped Systems

Proof of delivery

A sample of production work our engineers have shipped.

Healthcare
Patient engagement platform
HIPAA Ready

HIPAA-compliant intake, EMR/EHR integration across two systems, telehealth, and scheduling. Built and supported end to end.

2
EMR integrations
synchronized
Practice Management
Clinical practice operating system
Distributed Locks

An end-to-end platform taking a patient from AI-driven intake through booking, chairside charting, and billing on one record.

Zero
double-bookings,
by design
AI / Data
Natural-language data workspace
RAG Pipeline

An AI-powered workspace letting non-technical teams query enterprise data in plain language, with instant BI dashboards and document analysis.

Enterprise
SSO & auth
enforced
Customer Ops
AI website support & lead qualification
Agent Routing

A grounded AI assistant that resolves routine support questions, captures qualified leads mid-conversation, and routes buying-intent visitors to sales.

24/7
AI-staffed
coverage
Real-Time Systems
Spatial analytics at scale
Kafka / WS

A streaming architecture ingesting live location data from over 23,000 vehicles concurrently, with sub-second latency dashboards for fleet operations.

23K+
vehicles
streamed live
Legal & Regulated
Audit-grade compliance platform
Crypto Audit

A data platform cross-referencing user records against government datasets, with a workflow and audit trail built to hold up under formal review.

3-step
audited workflow
enforcement
Company Credibility

A team that’s built for exactly this kind of work

Roadmapped is a team of passionate technologists who take on real client challenges. Architecting solutions, integrating AI into production systems, and building the tooling that lets development teams move faster without cutting corners. Every engineer on our team has done this kind of work before.

Montreal, Canada
Headquartered here
Eastern time
Delivery happens in your working day
Senior only
Every engineer vetted before they join you
Industries Served

Proven cross-sector engineering track record across regulated and high-growth markets.

Technology Fintech Financial Services Healthcare Legal & Regulated Retail & Loyalty Real Estate Education Govt Logistics
Immediate Intake

Tell us the gap you’re trying to fill.

A short note on the role, the stack, and your timeline is enough to start. We’ll come back with the engineers who’d take it on, and how we’d approach the work.

Email us
Typical response time: under 4 business hours
Contact Details EST Timezone
Reach us
info@roadmapped.co
Headquarters
Montreal, Canada
Your contact