Golonex

Security Operations

EDR · MDR · XDR Email Security SOC Monitoring & SIEM Continuous VAPT Security Awareness Training

IT & Governance

Configuration Management Backup & DR / BCP IT & Security Governance IS Audit Readiness Compliance Readiness

Advisory & AI

Fractional Leadership AI Automation Solutions Lab Staff Augmentation

Products

GOMA — Omnichannel Messaging gowin.tools All products

Company & Resources

About Our Work Industries Golonex Ready Blog Golonex Press ↗ Golonex Tools ↗ Hire with us → Book a Call →
🤖 Data, AI & ML Engineers

Hire Dedicated Generative AI Developers — India, US, UK & Australia

Hire pre-vetted generative AI developers who ship customer-facing GenAI features — chatbots, copilots, content and image generation — that actually work in production. Golonex places dedicated India-based generative AI developers with US, UK, Australian, and Indian teams — working in your timezone, under NDA, onboarded within one week and with no lock-in.

The role

What a Generative AI Developer does

A generative AI developer builds applications powered by generative models — text, image, audio, and multimodal. Day to day they integrate LLM and diffusion APIs, build RAG-backed chatbots and copilots, engineer prompts and structured outputs, wire agentic workflows and tools, add safety and moderation, and embed it all into real product UIs with attention to latency, cost, and UX.

Core expertise

OpenAI, Anthropic & Gemini APIs Diffusion models (Stable Diffusion, image gen) RAG & vector search LangChain / LlamaIndex Prompt engineering & structured outputs Agentic workflows & tool use Multimodal (text, image, audio) Chatbot & copilot UX Streaming responses Content moderation & safety Fine-tuning & embeddings Python, TypeScript & FastAPI Frontend integration (React/Next.js) Cost & latency optimisation
Outcomes

What a Golonex Generative AI Developer builds for you

Production chatbots and copilots grounded in your data
Content, image, and multimodal generation features
RAG pipelines that keep generated output accurate
Agentic workflows that call tools and complete tasks
Safety, moderation, and guardrails around generated content
GenAI features integrated into real product UIs
Engagement

How it works

Engagement models

Full-time dedicated Part-time / hourly Remote Hybrid Onsite (US · UK · India)

Based in India, working in your timezone. Onsite options available across the US, UK, and India.

Category

🤖

Data, AI & ML Engineers

Demand: High demand
Why Golonex for Generative AI Developers

The Golonex difference

Named, pre-vetted engineers

Every Generative AI Developer is screened for technical depth, communication, and reliability before you meet them — a sub-30% pass rate at the technical stage.

Integrated within 1 week

From enquiry to working team member in 5 business days. We handle onboarding, NDA, and access logistics.

Your timezone

India-based talent working overlapping hours with US, UK, and Australian teams. Daily standups and real-time collaboration, agreed upfront.

NDA-protected, no lock-in

Full IP and confidentiality protection as standard. Month-to-month engagements — scale up or down as your project evolves.

FAQ

Hiring a Generative AI Developer — FAQs

How fast can I onboard a generative AI developer through Golonex? +

Usually within one week. We shortlist pre-vetted generative AI developers matched to your project — chatbots, image generation, or agents — you interview them, and the selected developer is onboarded to your stack within 5 business days, in your timezone.

Can they build both text and image generation features? +

Yes. Our generative AI developers work across LLM APIs for text and diffusion models for images, plus multimodal and audio where needed. Tell us the experience you want to build and we match developers with the right model expertise.

Who owns the prompts, code, and generated assets? +

You do. All prompts, application code, pipelines, and IP produced in the engagement belong to you and are delivered under NDA. We retain no rights to your data, models, or generated outputs.

How do you keep generated content accurate and safe? +

Our developers ground outputs with RAG, use structured outputs and validation, and add moderation and guardrails against harmful or off-brand content and prompt injection. They evaluate against your test cases so quality is measured, not assumed.

How do you vet generative AI developers? +

Every candidate passes a technical assessment on real scenarios — RAG and prompt design, API integration, and building a working GenAI feature — plus a communication and remote-working assessment and reference checks from at least two prior engagements.

Get started

Ready to hire a Generative AI Developer?

Tell us the role, stack, and timeline. We'll match you with a named, pre-vetted engineer — integrated within 1 week.