LLM & RAG engineering
Retrieval pipelines, embedding strategies, and production inference paths.
Qbatch · Specialized AI Talent
ML engineers and prompt architects for AI initiatives.
AI specialists who embed with your product team — RAG pipelines, fine-tuning, eval harnesses, and agent workflows built by people who've shipped LLM features to production.
AI team embed
STEP 1
Scope
Use case & stack alignment
STEP 2
Match
ML, data, or prompt specialist
STEP 3
Integrate
Your repos, evals, and data
STEP 4
Build
Models, pipelines, and agents
STEP 5
Harden
Evals, cost, and guardrails
Capabilities
AI builders — not slide-deck consultants.
Specialists who've shipped GenAI features under real latency and cost constraints.
Prompt & agent design
Tool use, orchestration, and human-in-the-loop patterns that hold up in prod.
Fine-tuning & evals
Dataset curation, regression suites, and quality gates before release.
Application integration
Copilots and AI features wired into your existing product surfaces.
Responsible AI
PII handling, guardrails, and cost envelopes built into delivery.
Cross-functional pairing
Works alongside your PMs and backend team — not a siloed lab.
Production focus
Evals, monitoring, and rollback — not notebook-only experiments.
Stack fluency
OpenAI, Anthropic, LangChain, vector DBs, and your cloud of choice.
Knowledge transfer
Your team learns patterns while we embed.
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Staff Augmentation services
Dedicated Engineers
Full-stack developers who ship from week one.
Cloud & DevOps Experts
SRE and platform engineers for scale and uptime.
QA & Test Engineers
Automation specialists to protect release quality.
Product Designers
UX/UI designers for flows, systems, and prototypes.
Flexible Scaling
Ramp teams up or down without long hiring cycles.
Specialized AI Talent FAQ
ML engineer vs prompt architect — who do we need?+
Prompt/architect profiles for application-layer AI; ML engineers for custom models, training, and data pipelines. We help scope the right mix.
Can they work with our existing AI vendor choices?+
Yes. We integrate with your approved model providers, vector stores, and security policies.
Do you sign NDAs and handle sensitive data?+
Always. NDA-first engagement; data stays in your environment with least-privilege access.