Quecko provides dedicated, senior AI engineers and machine learning developers vetted for complex systems build. From LLM customization and RAG pipeline engineering to predictive analytics and custom model training, we integrate elite technical talent directly into your team to accelerate your AI roadmap.
The current AI boom has created a surge in self-proclaimed AI developers who only know how to make basic API calls to OpenAI. Building reliable, production-ready enterprise AI systems requires deep software engineering and machine learning expertise: RAG pipelines that prevent data leakage, optimized model fine-tuning, and scalable MLOps databases. Hiring these engineers internally takes months, during which your product window closes. Quecko provides dedicated, senior AI engineers. Our team has built automated document processors, customer support agents, and complex recommendation engines. We integrate vetted developers into your team quickly.
We analyze your AI architectures, data structures, cloud platforms, and define developer requirements.
We present vetted senior AI developer profiles matching your requirements, complete with verified code repos.
Your technical leadership interviews our candidates to verify modeling skills and data architecture logic.
The developer joins your Slack and Git workflows, accesses databases, and begins coding model logic.
Explore our technical specialties, engineering practices, and developer skills.
Developers experienced in tuning open-source models (Llama, Mistral) for domain-specific tasks, reducing model query costs.
Experts in building Retrieval-Augmented Generation systems using Pinecone, Qdrant, Milvus, and custom database ingestion pipelines.
Developers specialized in designing multi-agent workflows using LangChain, CrewAI, and AutoGen to automate complex logic.
Engineers building custom image classifications, object detection, and document parsing models using PyTorch and OpenCV.
DevOps engineers specializing in deploying models to production, monitoring data drift, and structuring Kubernetes model serving layers.
ML engineers to design recommendation algorithms, time-series forecasting models, and natural language sentiment analyzers.
How we take your Hire Dedicated AI Engineers requirements from day 1 to production delivery.
Aligning developer requirements, reviewing senior candidate profiles, and scheduling technical interviews.
Conducting interviews, discussing vector search models, and contract signing.
Granting API keys, setting up development environments, and introducing developers to database access rules.
The developer writes model pipelines, optimizes database search routines, and participates in standups.
Aligning developer requirements, reviewing senior candidate profiles, and scheduling technical interviews.
Conducting interviews, discussing vector search models, and contract signing.
Granting API keys, setting up development environments, and introducing developers to database access rules.
The developer writes model pipelines, optimizes database search routines, and participates in standups.
Tools, frameworks, and protocols we use to build secure and scalable solutions.
Our developers understand vector embeddings, chunking strategies, and query rerankings to ensure clean search results.
Our developers understand vector embeddings, chunking strategies, and query rerankings to ensure clean search results.
We work within your existing tools—GitHub, Slack, Jira. Our developers adapt to your workflows and write clear, documented code.
We recommend the models (open-source or API) that best fit your budget and performance requirements, avoiding vendor locks.
We bring structural engineering and security standards from complex systems directly to your AI project.
“The work Quecko has done has been absolutely brilliant. Extremely responsive, reliable, and fast — we can throw last minute requests in and they'll get them done by the end of the day.”
A senior AI engineer working 40 hours per week exclusively on your model pipelines, managed by your team.
A complete engineering unit—AI developers, data engineers, and MLOps QA, managed by a Quecko lead.
Vetted machine learning engineers integrated temporarily to review model accuracy, optimize search databases, and resolve latency bugs.
From custom LLM tuners and RAG database developers to vector search specialists — Quecko provides dedicated AI engineering talent built for security and performance.