AI Engineers Who Can Build Beyond the Prototype

Production AI features, RAG systems, agents, and workflow integrations — built inside your existing product and engineering teams.

Production AI Engineers

Production AI EngineersWho Ship Beyond the Prototype

Embedded AI engineers for real product teams — building RAG systems, agents, workflow automation, and production AI features connected to existing platforms and backend systems.

What we build

  • RAG systems
  • AI agents
  • LangChain / LangGraph workflows
  • Chat interfaces
  • Document processing
  • Data pipelines
  • MCP development

How we work

  • Embedded inside product and engineering teams
  • Move ideas from prototype to production
  • Backend integrations and deployment
  • Monitoring, observability, and prompt management
  • Cost optimization, security, and HITL

Core stack

PythonTypeScriptOpenAIAnthropicAWS BedrockGeminiOllamaPineconePGVectorOpenSearchn8nTemporal
5+ years

software engineering

3+ years

AI engineering

Full-stack

AI engineers

Fast integration

into your team

RAGAI agentsLangChainLangGraphFine-tuningVector DBWorkflow automationDocument processingObservability for AIBackend integrationsProduction AI features

How AI Engineers Work

Production AI features

AI engineers who integrate with your existing backend, data, and product workflows — not isolated prototypes.

Built for real systems

Inside your engineering team

Engineers matched to work inside real product teams with timezone overlap and senior production experience.

Embedded. Aligned. Reliable.

Production AI features

AI engineers who integrate with your existing backend, data, and product workflows — not isolated prototypes.

Built for real systems

Inside your engineering team

Engineers matched to work inside real product teams with timezone overlap and senior production experience.

Embedded. Aligned. Reliable.

Secure • Integrated • Production-ready

Built for enterprise teams

Control before commitment. Support after kickoff.

You validate the people, working model, and commercial terms before the engagement begins. We stay responsible for the operating support around the squad.

01

Interview every engineer

Meet the proposed engineers directly and validate technical depth, communication, and team fit before kickoff.

02

Managed replacement

If a profile is not the right fit, SOTR coordinates a replacement and an agreed transition plan.

03

Clear contracts and IP

NDA, SOW, IP assignment, invoicing, and procurement documentation are defined before work begins.

04

Client-controlled access

Engineers can work inside client VPN, VDI, managed-device, and access-control requirements.

05

Senior profiles only

Every proposed engineer is matched for relevant production experience, communication, and technical seniority.

06

Delivery and account support

Add technical leadership, delivery management, and account support so ownership and escalation paths stay clear.

What does your roadmap need to ship next?

Share the backlog, specialist role, or delivery gap in front of you. We will recommend the smallest useful squad, introduce the engineers, and define a clear path to kickoff.

Discuss a delivery need

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What Engineering Leaders Say

Independent reviews from enterprise teams we've supported with senior engineers, squads, and DevOps/SRE.

4.9

12 verified client reviews

View our Clutch profile