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 — remote, 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.
Remote engagement — the mechanics
Remote engagement — this is our default delivery model. Engineers work from Redian's delivery centres in India, join your calls at your local hours, use your tools (Slack, Jira, Linear, GitHub, GitLab, Notion, whatever), and integrate with your existing workflow. You don't run their laptops, you don't manage their leave, you don't handle their tax — Redian does. You get an invoice each month against a signed rate card, and named engineers show up on your standups from day one.
Security controls that pass procurement. Managed Redian-issued devices (MDM, disk encryption, endpoint DLP), corporate VPN into your infra where you require it, IAM-integrated access (SSO, MFA, least-privilege), signed NDA and IP-assignment on every engineer, and pen-test / SOC 2 evidence available on request. The people you talk to are FTEs on Redian's payroll, not contractors we've never met.
Commercials and how to start
Rates depend on the exact seniority mix and length of engagement, but as a rule: a remote 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 (day-one remote), 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.