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🤖 Data, AI & ML Engineers

Hire Dedicated AI Engineers — India, US, UK & Australia

Hire pre-vetted AI engineers who ship production AI — not demos. Golonex places dedicated India-based AI engineers with US, UK, Australian, and Indian teams to build LLM applications, RAG pipelines, and agentic systems, working in your timezone, under NDA, with full IP ownership and integration within one week.

The role

What a AI Engineer does

An AI engineer turns models into working product: designing LLM-powered features, building retrieval-augmented generation (RAG) pipelines, orchestrating multi-agent workflows, and wiring models into your app with the right guardrails, evaluation, and cost controls. Our AI engineers combine strong software engineering with hands-on experience across the OpenAI, Anthropic, and open-model ecosystems.

Core expertise

LLM application development RAG pipelines Vector databases (Pinecone, Weaviate, pgvector) LangChain / LlamaIndex OpenAI & Anthropic APIs Prompt engineering & evaluation Multi-agent orchestration Python FastAPI PyTorch / Hugging Face Fine-tuning & embeddings Model deployment & MLOps Guardrails & AI governance Cost & latency optimisation
Outcomes

What a Golonex AI Engineer builds for you

LLM-powered features — chatbots, copilots, summarisation, extraction
RAG pipelines over your proprietary documents and data
Multi-agent systems that automate complex workflows
Fine-tuned and embedded models for domain-specific tasks
Evaluation harnesses and guardrails for safe, measurable AI
Production inference APIs with cost and latency optimisation
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 AI Engineers

The Golonex difference

Named, pre-vetted engineers

Every AI Engineer 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 AI Engineer — FAQs

What is the difference between an AI engineer and a machine learning engineer? +

An AI engineer focuses on building applications on top of models — LLM features, RAG, and agentic systems — with strong software engineering. A machine learning engineer focuses more on training, tuning, and deploying models. We provide both; tell us your use case and we match the right profile.

Do we own the IP and models the AI engineer builds? +

Yes — entirely. All code, prompts, pipelines, fine-tuned weights, and documentation belong to you and are transferred at engagement close. Golonex retains no rights, and this is written into the contract.

How quickly can I hire an AI engineer? +

Typically within one week. We shortlist pre-vetted AI engineers matched to your stack (OpenAI, Anthropic, open models, or a specific framework), you interview them, and the selected engineer is onboarded within 5 business days.

Can your AI engineers handle sensitive or regulated data? +

Yes. Golonex is a cybersecurity and compliance firm first — our AI engineers work under NDA, use anonymised or in-environment data where required, and can build air-gapped or private-cloud deployments for regulated banking, healthcare, and government-adjacent clients.

Do the developers work in my timezone? +

Yes. Our India-based AI engineers work overlapping hours with US, UK, and Australian teams; the required overlap is agreed before the engagement begins.

Get started

Ready to hire a AI Engineer?

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