eTechBuddies

Hire AI Integration Engineers

Pre-vetted engineers who integrate LLMs, build RAG pipelines, and deploy production-ready AI into your products.

AI Engineers Who Put Intelligence Into Your Product

Our AI integration engineers bridge the gap between AI research and production software. They integrate Large Language Models (GPT-4o, Gemini, Claude), build Retrieval-Augmented Generation (RAG) pipelines, create intelligent chatbots with memory and tool use, fine-tune models on proprietary data, and implement ML inference at scale. Unlike data scientists who prototype in notebooks, our engineers ship AI features as maintainable, observable, versioned software — with proper evaluation pipelines, latency budgets, cost controls, and fallback logic. Every AI feature they ship is engineered to be reliable in the real world, not just impressive in a demo.

40
Integrated
$2
AI Cost Saved for Clients
200
Avg P95 Latency
5
Avg ML Experience

Everything Included With Your Hire

LLM Integration

GPT-4o, Claude 3.5, Gemini, Mistral — integrated with proper prompt management, fallback routing, and cost controls.

RAG Pipelines

Full retrieval-augmented generation systems with vector stores, chunking strategies, reranking, and evaluation metrics.

Fine-Tuning & RLHF

Custom model fine-tuning on your proprietary data using LoRA, QLoRA, and PEFT techniques for domain-specific accuracy.

Agentic Workflows

LangGraph and AutoGen-powered agents with tool use, memory, planning, and human-in-the-loop checkpoints.

Model Evaluation

Automated eval pipelines using RAGAS, DeepEval, and custom benchmarks to measure accuracy, hallucination rate, and latency.

MLOps & Observability

Full production ML lifecycle: model registry, A/B testing, drift detection, LLM observability with LangSmith / Arize.

Technologies Our AI Integration Engineers Master

LLM APIs & Frameworks
OpenAI GPT-4oAnthropic ClaudeGoogle GeminiMistral / LLaMALangChainLlamaIndex
RAG & Vector Stores
PineconeWeaviateQdrantpgvectorChromaAzure AI Search
ML & Deep Learning
PyTorchTensorFlowHugging Facescikit-learnXGBoostONNX
Agentic Frameworks
LangGraphAutoGenCrewAISemantic KernelHaystackDSPy
MLOps & Serving
MLflowBentoMLFastAPITritonLangSmithArize Phoenix
Cloud AI Platforms
Azure OpenAIAWS BedrockGoogle Vertex AISageMakerAzure MLDatabricks

Meet Our AI Integration Engineers

Pre-screened, battle-tested engineers ready to join your team. These are representative profiles — we match you with engineers based on your exact requirements.

AZ
Aiden Z.
AI Lead · 7 yrs
$55
/hour
Available Now
★★★★★ 5.0
OpenAILangGraphRAGMLOps
Request Interview
KP
Kavya P.
ML Engineer · 6 yrs
$50
/hour
Available Now
★★★★★ 5.0
PyTorchHuggingFaceFine-TuningFastAPI
Request Interview
TM
Tyler M.
AI Integration · 5 yrs
$48
/hour
2 Weeks Notice
★★★★★ 5.0
LangChainPineconeGPT-4oAzure
Request Interview
SL
Sofia L.
NLP Specialist · 8 yrs
$58
/hour
Available Now
★★★★★ 5.0
NLPRLHFDSPyLLM Evaluation
Request Interview

Flexible Hiring Models

Start with any model and scale up or down as your project evolves.

Hourly

$25–$55/hr

For tasks, bug fixes, or exploratory sprints with no minimum commitment.

  • No minimum hours
  • Weekly billing
  • Stop anytime
Get Started

Part-Time

$3,200/mo

80 hrs/month. Ideal for maintenance, advisory, or phased support work.

  • 80 hrs/month
  • Dedicated resource
  • Monthly billing
Get Started

Dedicated Team

Custom pricing

A complete squad: engineers, designer, QA, and PM. Ready to scale on demand.

  • 2–15 people
  • Agile delivery
  • Custom SLA
Talk to Us

Why Companies Choose eTechBuddies for AI Integration Engineers

Pre-Vetted Talent Only

4-stage vetting: technical screen, live coding, system design, and communication assessment. Only the top 5% pass.

48-Hour Onboarding

From approval to first commit under 48 hours. We handle NDA, tool access, and introductions.

Full IP Protection

100% code ownership. All engineers sign NDA and IP assignment agreements before day one.

Timezone-Matched

We match your working hours — US, EU, or APAC — ensuring 4–8 hours of real-time daily overlap.

Transparent Reporting

Daily standup notes, weekly summaries, and full Jira/Linear/GitHub access. No black boxes.

Zero-Risk Replacement

Not the right fit? We replace at zero cost within 2 weeks — guaranteed.

Hire a AI Integration Engineer in 4 Simple Steps

Most clients have their engineer starting within 48–72 hours of their initial conversation.

Start Now
01
Share Requirements

Tell us your tech stack, project scope, and timeline in a 30-min call or via our quick form.

02
Get Matched in 24h

We shortlist 3–5 pre-vetted engineers from our talent pool matching your exact needs.

03
Interview & Select

Conduct technical interviews and a paid trial task. You choose only who you're confident in.

04
Onboard in 48h

Your engineer joins your tools, attends standup, and pushes their first commit — all within 48 hours.

Frequently Asked Questions

Our engineers have production experience with OpenAI (GPT-4o, GPT-3.5), Anthropic Claude, Google Gemini, Meta LLaMA, Mistral, and open-source models via Hugging Face. We select the right model based on your latency, cost, and accuracy requirements.

Yes. This is one of our most common engagements. We build end-to-end RAG pipelines — document ingestion, chunking, embedding, vector storage, retrieval, reranking, and generation — with a full evaluation suite to measure accuracy.

We implement multiple safeguards: RAG grounding, output validation with structured schemas, citation tracking, confidence scoring, and human-in-the-loop fallbacks for high-stakes decisions.

Yes. We support full fine-tuning and parameter-efficient fine-tuning (LoRA, QLoRA) for domain-specific accuracy improvements. We also manage the data pipeline, evaluation, and deployment.

We implement caching (semantic caching with GPTCache), model routing (use cheap models for simple queries, expensive models for complex ones), and token budgeting — typically reducing AI API costs by 40–60%.

Ready to Hire Dedicated Techies?

Get pre-vetted engineers onboarded in as little as 48 hours. No long-term commitment. Full IP ownership.