Team Assembly Model

Deploy Dedicated Agile Engineering Pods

Eliminate multi-month recruiting cycles and low-velocity agency contracts. Deploy an elite, self-sufficient engineering pod of Forward Deployed Engineers into your codebase in under 5 days to build, test, and ship high-impact software initiatives.

Build Your Pod The FDE Model
Onboarding Window < 5 Days
Pod Seniority Senior / Lead
Autonomy Level Cross-Functional
Knowledge Transfer Continuous ADRs

The Engineering Capacity Bottleneck

When market opportunities require immediate technical execution—such as launching an AI copilot, re-architecting an API core, or building real-time data streaming pipelines—traditional talent acquisition models create crippling friction:

  • Recruiting Lag: Sourcing, vetting, and onboarding senior engineers and ML architects takes an average of 4 to 6 months.
  • Hiring Misalignment: Generalist recruiters struggle to accurately evaluate deep technical nuances in vector databases, agent state machines, or distributed consensus.
  • Staff Augmentation Overhead: Individual contractors require constant supervision, detailed specifications, and continuous management from overstretched in-house engineering leaders.
The Pod Solution

DRG Agile Pods arrive as a cohesive, pre-integrated unit. They require zero hand-holding on software engineering fundamentals, integrating directly into your issue tracking and CI/CD pipelines to start executing immediately.

Anatomy of a High-Velocity Pod

Our pods are engineered for balanced velocity across the entire software development lifecycle:

Lead Solutions Architect

Drives macro-architecture, cloud topologies, data isolation boundaries, VPC security, and multi-service protocol design (gRPC / Kafka / REST).

Forward Deployed AI Engineer

Constructs RAG retrieval pipelines, vector index fine-tuning, agentic state machines, LLM evaluation test suites, and private model serving.

Senior Fullstack Engineer

Builds low-latency API layers, background worker queues, caching architectures, and responsive administrative dashboards with TypeScript, Go, and Python.

Sprint & Delivery Governance

Operates directly in your Jira/GitHub Projects with transparent daily burn-downs, automated PR testing, and live architectural documentation.

The 5-Day Pod Deployment Cycle

  1. Day 1: Architectural Scoping: Aligning technical milestones, tech stack compatibility, security credentials, and SLA requirements.
  2. Day 2: Pod Provisioning: Assigning vetted pod members with domain expertise matching your specific industry and technical stack.
  3. Day 3: Environment Integration: Securing repo access, Slack/Teams channel integration, and local dev setup validation.
  4. Day 4: Architecture Discovery: Deep dive into existing data schemas, API contracts, and infrastructure constraints.
  5. Day 5: First Pull Request: Opening the first production-ready PR, initiating continuous agile sprints.

Frequently Asked Questions

What is the typical composition of a DRG Agile Pod?
A standard pod typically consists of 1 Lead Solutions Architect, 1 to 2 Forward Deployed AI Engineers, and 1 to 2 Senior Fullstack Engineers, providing complete architectural autonomy.
How does pod onboarding work?
Onboarding takes under 5 business days. Pod members receive credentials, join your Slack/Teams workspace, and begin submitting pull requests during the very first sprint.
Can we scale pod size up or down as project milestones evolve?
Yes. Our pod model is modular, enabling organizations to scale up during intensive build phases and scale down or transition cleanly to internal teams after milestones are complete.

Assemble Your Pod Today

Use our interactive pod planner to configure your engineering requirements, team size, and velocity targets.

Open Pod Builder Request Team Scoping