Why Redian, and why this shape of team
You've landed here because you need AI/ML developers for a team based in or serving New York, USA, and you're weighing whether to hire locally, use a marketplace, or engage a delivery partner. This page explains how Redian Software delivers exactly that engagement — onsite, AI/ML developers, aligned to New York business hours (EST / EDT), on a commercial model that scales from a single engineer to a full offshore cell.
AI/ML Developers — what our engineers actually do
Redian's AI/ML practice ships production LLM systems, not demos — RAG over your document corpus with citations and permissioning, agentic workflows that call your existing APIs safely, fine-tuned classification and extraction models where LLMs are too slow or expensive, and the LLMops plumbing (eval harnesses, prompt versioning, cost telemetry, guardrails) that keeps a GenAI feature safe for a real customer to use. We work across Anthropic (Claude), OpenAI (GPT), open-weight models (Llama, Mistral), and the vector-store / orchestration layer around them.
Seniority mix: ML engineers (3–5 yrs, execute model fine-tuning, RAG pipelines, evaluation), senior ML engineers (5–8 yrs, own model architecture, LLMops, cost/latency tradeoffs, model governance), and applied-AI leads (8+ yrs, own the product-AI conversation with the customer — what to build, what to defer, what will actually save the operator time). We staff small teams — usually 2–3 engineers plus fractional lead — because AI/ML delivery is quality-over-quantity work.
The New York context
The New York market runs on East-Coast time and East-Coast expectations — engineers who cost USD 180K+ loaded, hiring cycles that stretch 12+ weeks for a senior IC, and buyer procurement that will ask for W-8BEN, SOC 2 alignment, data-residency options, incident-response SLAs and reference customers before a single line of code ships. Whether you're a Series B fintech in Flatiron, an insurance carrier in Midtown, an ad-tech firm running RTB pipelines, or a healthcare vendor bound by HIPAA, the calculus is the same — you need senior engineers, you need them yesterday, and you can't afford to spend a quarter on the hire.
Redian's staff-augmentation practice ships EST-hours coverage from the India bench: our engineers open the working day at IST 18:30 (New York 09:00 EST) and stay live until at least IST 23:30 (New York 14:00 EST) — the entire New York morning and half of your afternoon. Standups, code review, incident response and design conversations happen inside that overlap. Anything after 2pm EST is asynchronous with a written handover for your next morning.
Onsite engagement — the mechanics
Onsite engagement — engineers work from your office. For clients whose delivery model needs on-the-ground presence — regulator-mandated data controls, hands-on hardware, in-room collaboration with an internal team, or simply a leadership preference — Redian deploys engineers to your location on a per-diem or medium-term contract. We handle visa, work-permit, accommodation and travel logistics from our side; you provide the desk, badging, and access to the systems the engineer will touch.
How the commercials work. Onsite carries a different rate card than remote — day-rate is higher to cover the engineer's living cost and per-diem, and minimum engagement length is usually 3 months to make the mobilisation worthwhile for both sides. We can also blend the models: a small onsite core (2–3 engineers) plus a larger remote build team, so you get the trust of physical presence without the cost of an all-onsite ramp.
Commercials and how to start
Rates depend on the exact seniority mix and length of engagement, but as a rule: a onsite AI/ML developer from Redian lands well below the loaded cost of the equivalent local hire in New York, without dropping seniority. Minimum engagement is one month for remote, three months for onsite. Rate card, sample CVs of currently-available engineers, and reference clients in your industry — happy to send those on the first call, subject to NDA.
How the first two weeks look: we scope the roles, seniority mix and start date on a 30-minute discovery call. We share 3–5 CVs matched to the brief within 3 business days. You interview shortlist candidates directly. The chosen engineer(s) start inside 1–2 weeks (3–6 weeks if onsite mobilisation is needed), on your tools, in your workflow, with named Redian consultant oversight.
No lock-in, no minimum quarter. If an engineer isn't a fit inside the first two weeks, we swap them, no charge. If you need to scale up or down mid-engagement, we do it — that flexibility is the whole point of engaging a partner instead of hiring FTEs.