AI / Machine Learning
Ollama

Hire Expert
Ollama Developers

Ollama lets you run LLaMA 3, Mistral, Gemma, Phi-3, and 50+ open-source language models locally with a single command. It provides an OpenAI-compatible API, making it trivial to switch between cloud and local models for …

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Projects delivered
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Response time
Key Capabilities

Why Ollama?

What makes Ollama the right choice for modern engineering teams.

Local Model Execution

Run LLaMA 3, Mistral, Phi-3, and Gemma on your laptop with GPU acceleration.

OpenAI-Compatible API

Drop-in replacement for the OpenAI API — swap the base URL to go local.

Modelfile

Customize model parameters, system prompts, and templates with a Dockerfile-like syntax.

Multi-Model Server

Serve multiple models simultaneously with automatic GPU memory management.

Streaming Support

Full streaming token generation for real-time response UIs.

REST & WebSocket API

Simple HTTP API for integration with any language or framework.

Code Example

Ollama in Action

ollama-demoAI / ML
import ollama from 'ollama';
import OpenAI from 'openai';

// OpenAI-compatible local inference
const client = new OpenAI({ baseURL: 'http://localhost:11434/v1', apiKey: 'ollama' });

const response = await client.chat.completions.create({
  model: 'llama3.2',
  messages: [{ role: 'user', content: 'Explain RAG in one paragraph.' }],
  stream: true,
});

for await (const chunk of response) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? '');
}

// Local embeddings for RAG
const { embedding } = await ollama.embeddings({ model: 'nomic-embed-text', prompt: 'search query' });
// Use embedding with your vector store (pgvector, Chroma, Qdrant)
Our Developers

What Our Ollama
Developers Know

Every Krapton developer is vetted with real production experience in Ollama across multiple industry domains.

Model Management
Pulling, running, and managing model versions with ollama CLI.
OpenAI SDK Integration
Using the OpenAI SDK with ollama as a local backend for rapid prototyping.
Custom Modelfiles
Creating custom models with specific system prompts and generation parameters.
LangChain Integration
Using OllamaLLM and OllamaEmbeddings in LangChain pipelines.
RAG with Local Embeddings
Building fully local RAG pipelines with nomic-embed-text.
Production Serving
Deploying Ollama on GPU servers with Kubernetes for private model serving.

More AI / ML Technologies

Other ai / ml technologies we work with at Krapton.

Engagement Models

Three ways to hire Ollama developers

Pick the engagement that matches how you actually work. No multi-year contracts — scale up or down month by month.

Dedicated Developer

Most popular

Full-time Ollama engineer who reports only to you. Best for ongoing products, long-term roadmaps and teams that need a core hire without the HR overhead.

  • 40 hours / week
  • Your Jira, your repo
  • Month-to-month

Hourly / Time & Materials

Pay only for billable hours. Ideal for research spikes, code audits, or variable-load Ollama work where scope is still being discovered.

  • Weekly timesheets
  • Slack-first comms
  • No minimum commit

Fixed-price Milestones

Scoped delivery with clear milestones and acceptance criteria. Best for well-defined Ollama builds like an MVP, a migration or a specific module.

  • Scope locked upfront
  • Milestone acceptance
  • Predictable budget
FAQ

Hiring Ollama developers — answered

Practical answers to the questions CTOs and founders ask us most often before they hire.

Hire Ollama Experts

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with Ollama?

Get a free 30-minute consultation with our Ollama team. Clear roadmap, transparent pricing, no obligation.

Free NDA on Request
Response within 24 hours
Certified Ollama developers
Flexible engagement models
US, UK, UAE & India clients served
Ollama

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