AI Agent Development & Implementation

I build autonomous AI agents and agentic workflows that run in production — not just demos.

I'm Almog — a hands-on Fractional CTO and Senior Software Engineer with 15+ years building production software for startups and scale-ups. I now take on a focused number of AI agent implementation projects per quarter, from scoped builds to full agentic system design.

Projects range from $5,000 to $30,000. If you're past the "should we use AI?" stage and ready to build, let's talk.

→ Schedule a Call


What I Build

Autonomous AI agents

Custom agents that perceive, decide, and act — handling complex multi-step workflows without constant human input.

LangChain LlamaIndex LLM APIs

RAG systems & AI co-pilots

Retrieval-Augmented Generation pipelines that give your AI grounded, accurate answers from your own data.

Firestore Vertex AI Vector search

Agentic workflow automation

End-to-end automation connecting your CRM, databases, APIs, and communication tools into intelligent pipelines that run themselves.

n8n Go microservices Node

LLM integration & API orchestration

Connecting OpenAI, Claude, Gemini, or open-source models into your existing product. Function calling, tool use, streaming — production-grade.

OpenAI Anthropic Gemini

Multi-agent systems

Coordinating multiple specialized agents in parallel — task decomposition, routing, error recovery, observability. Built for reliability at scale.

Multi-agent Observability Cloud Run

How I Work

I don't hand off a spec and disappear. I architect, code, review, and ship alongside you. Every engagement starts with a scoping call where we define outcomes, not just features.

Typical engagement flow:

  1. Discovery call — understand your workflow, data, and goals (free, 30 min)
  2. Scoping document — architecture overview, tech choices, timeline, and fixed price
  3. Build phase — iterative delivery with weekly check-ins
  4. Handover — documented, tested, deployed — and you own it fully

What I Bring to an AI Agent Project

  • Production mindset — I've shipped AI-powered SaaS (DogBase, Lineups, ArDrive) and know where agents break in the real world: hallucinations, cost overruns, flaky tool calls, observability gaps
  • Full-stack depth — I handle the agent layer and the infrastructure around it: APIs, databases, auth, deployment, monitoring
  • LLM-agnostic — I recommend the right model for your use case, not the one I'm most comfortable with
  • Firestore, GCP, Cloud Run, Vertex AI — deep experience on the Google Cloud stack, if that's your home
  • n8n automation — self-hosted workflow orchestration for teams that want power without per-seat SaaS costs

Common Use Cases

  • Customer support agent with escalation logic and CRM integration
  • Internal knowledge assistant trained on your documentation
  • Lead qualification and outreach automation agent
  • Data extraction and processing pipeline from unstructured documents
  • AI co-pilot embedded in an existing SaaS product
  • Operational agent replacing a recurring manual workflow (reporting, scheduling, triage)

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Project Investment

Project type
Scope
Investment
Single-agent build
One workflow, one integration
Customer support bot, document processor, single-task automation
$5,000 – $8,000
Enterprise agent architecture
Multi-agent, observability, scale
Production multi-agent systems, complex integrations, error recovery, monitoring
$18,000 – $30,000
Monthly retainer
Maintenance & iteration
Ongoing monitoring, improvements, and agent tuning after project delivery
$1,500 – $3,000/mo

All projects are fixed-price after scoping. No hourly surprises.


What clients say

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Ready to build something that actually runs?

I take on 2–3 AI agent projects per quarter. If your timeline is within the next 60 days, reach out now.
→ Schedule a Discovery Call → Email me directly