Vecta

You join a network that measures capability over tenure.

Applied AI is still new. What matters is what you ship, how you evaluate it, and how fast you iterate. Every engineer in our network has built, deployed, and assessed real AI systems. This page spells out the standards you already meet—and the mindset you bring to every engagement.

1

Agentic Workflow Experience

You build systems, not prompts. You architect multi-step reasoning flows that connect tools, APIs, and models into cohesive loops, defining plan-execute-reflect cycles that stay within guardrails.

  • Designing autonomous or semi-autonomous agents with LangChain, LlamaIndex, or custom orchestration layers.
  • Managing tool usage, context windows, and control flows that keep agents grounded.
  • Coordinating multiple models or branching decisions to deliver predictable outcomes.
2

System Design for AI Products

You design for reliability, not demos. You deliver production-ready architectures that scale safely, stay maintainable, and are fully observable.

  • Shaping data pipelines that retrieve, cache, and reuse context effectively.
  • Separating LLM reasoning, business logic, and evaluation into clear boundaries.
  • Handling real-world constraints like token limits, rate limits, and multi-agent concurrency.
3

Evaluation & Success Criteria

You measure, iterate, and improve. You define what success looks like and prove it with data before and after launch.

  • Establishing measurable criteria such as accuracy, reliability, and task completion.
  • Implementing evaluation pipelines with datasets, reference outputs, and LLM-based judges.
  • Building feedback loops that retrain, fine-tune, or adjust prompts to boost performance.
4

Retrieval & Context Management

You execute RAG the right way. You know how to structure, embed, and retrieve data so every call has the context it needs without waste.

  • Designing chunking and embedding strategies across Postgres, Pinecone, or hybrid stores.
  • Optimizing queries with filters, metadata, and scoring that surface the best context fast.
  • Compressing and ranking context to scale large knowledge bases without overwhelming models.
5

Tooling & Infrastructure

You take products from prototype to production. You manage the underlying stack so intelligent systems ship and stay online.

  • Writing in TypeScript or Python as core languages for services and orchestration.
  • Building with Vercel AI SDK, FastAPI, or Node backends and orchestrating with Inngest, Temporal, or Airflow.
  • Deploying to AWS, Vercel, or Cloudflare with observability via Prometheus, Grafana, or similar tools.
6

Product Integration Skills

You integrate AI into real products. You connect intelligent features to existing systems your teams already rely on.

  • Connecting with CRM and business APIs like HubSpot, Notion, Airtable, or internal services.
  • Embedding AI experiences directly inside web or mobile frontends.
  • Creating admin dashboards and analytics so teams monitor and adjust agent behavior.
7

Collaboration & Delivery

You embed, not outsource. You join teams, adapt to their standards, and ship value within their repos and pipelines.

  • Working in-place inside existing engineering cultures and review processes.
  • Contributing production-ready code that aligns with CI/CD and compliance requirements.
  • Maintaining clear communication, documentation, and ownership of deliverables.

Example Profiles You Match

You bring a unique mix of experience. These are the types of backgrounds that thrive inside Vecta.

Agentic Workflow Architect
Former full-stack engineer specializing in orchestration
TypeScript · LangChain · Vercel AI SDK · Inngest
AI Systems Engineer
Backend-focused with evaluation and RAG depth
Python · FastAPI · LlamaIndex · Pinecone
Applied AI Frontend Dev
UX engineer integrating LLMs into apps
React · Next.js · OpenAI · Postgres
Automation & Infra Specialist
DevOps leader for AI workflow deployment
AWS · Temporal · Cloudflare · Python

What This Means for You

Joining Vecta means you unlock engagements where the expectations match your capability. Teams rely on you to bring clarity, rigor, and velocity to every agentic AI initiative.

You have shipped agentic workflows and can explain the trade-offs.
You define success with metrics, evaluation tooling, and iteration loops.
You architect AI systems that are observable, modular, and scalable.
You integrate intelligent features directly into production products.
Apply to join the network

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Technical co-founder–led recruiting for great companies

Operator-builders that level up your business, stay locked on your mission, and carry the technical judgement only fellow founders can screen for.

We built agentic systems ourselves, so we know what you need — and we prove it through technical recruitment, not by acting as a dev shop.