Hire Dedicated Generative AI & LLM Integration Engineers
Turn raw generative AI into reliable, revenue-generating enterprise software. Build autonomous AI agents, secure RAG knowledge bases, and complex multi-modal workflows.
Direct Overview & Engagement Terms
Zynocode's dedicated AI engineers allow enterprises to deploy production-grade LLM applications without risking data privacy. We implement secure RAG pipelines, deterministic agent routing, and strict token-cost guardrails.
Pricing
Based on seniority, team size and engagement length. Quoted after a short discovery call.
Core Technical Proficiencies
Our hire ai & llm engineers undergo rigorous hands-on engineering testing before deployment on client projects.
Cost & ROI Comparison vs US/UK In-House Hiring
• US In-House: $180,000 - $240,000/yr ($150-$200/hr)
• Freelance Platforms: $80 - $140/hr with high experimentation risk
• Zynocode Dedicated: Custom quote based on scope, with production AI deployment experience
Why leading companies hire Zynocode engineers
We combine top-tier technical depth with seamless communication and zero administrative overhead.
Production-Grade AI, Not Just Demos
We build with deterministic fallback pipelines, structured JSON schema validation, and guardrails that prevent hallucinations.
Token Economics Optimization
Architectures designed with smart prompt caching, embedding pruning, and routing to keep monthly API inference costs low.
Enterprise Data Privacy
Zero training on private client data, zero data leakage, and compliance with GDPR, HIPAA, and SOC2 requirements.
Multi-Agent Automation
Implement coordinated AI agent squads that execute complex multi-step workflows like lead enrichment, document analysis, and triage.
Frequently asked questions about hiring Hire AI & LLM Engineers
What generative AI models and SDKs do your engineers work with?
We specialize in Google Gemini (2.5 Flash, 2.5 Pro), Anthropic Claude, OpenAI GPT-4o, open-source Llama models, and LangChain/LlamaIndex frameworks.
How do you protect sensitive company data when building AI apps?
We use enterprise-tier APIs with strict zero-data-retention guarantees, private vector indexes, and end-to-end data encryption.
Can you build AI agents that connect with our existing CRM and database?
Yes. We specialize in tool-calling and Function Calling agents that safely read and write to HubSpot, Salesforce, PostgreSQL, MongoDB, and internal APIs.
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