Forward-Deployed AI Engineer

Job not on LinkedIn

🕒 July 28

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Saaf Finance

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💳 Fintech

🤖 Artificial Intelligence

☁️ SaaS

Fintech • Artificial Intelligence • SaaS

Saaf Finance is an AI-driven underwriting platform for mortgage lenders. Saaf’s AI Underwriter automates mortgage underwriting across products such as Non-QM, RTL, HELOC, DSCR, Jumbo, and Bank Statement loans, using OCR, large language models, and API integrations with data vendors and loan origination systems (e. g. , Encompass, MeridianLink). The platform produces structured “Source of Truth” loan data, reduces fraud risk through direct data connections, and claims substantial operational gains (faster processing, lower cost, and greater scalability). Saaf positions itself as a B2B partner to mortgage operations and secondary market participants, leveraging a training set of 200K+ loans and decades of industry experience to augment underwriters rather than replace them.

📋 Description

• We're hiring a Forward-Deployed AI Engineer to design and ship AI-powered products and agents from end to end. • You'll work directly on automating underwriting decisions, building intelligent borrower-facing experiences, creating agents that navigate complex loan workflows, and using AI to compress tasks that currently take days into minutes. • Build multi-step LLM agents that can navigate loan files, evaluate conditions, flag exceptions, and surface recommendations to underwriters. • Extend and improve document extraction pipelines — income documents, appraisals, title, and more — using the latest extraction and classification models. • Build AI-generated task lists and smart checklists that adapt to each borrower's loan scenario. • Monitor production AI performance — accuracy, coverage, failure modes — and iterate relentlessly.

🎯 Requirements

• AI systems builder: You've shipped LLM-powered features or agents to production. You've dealt with the real problems — latency, hallucination, evaluation, prompt regression, retrieval quality — not just the demos. • Strong Python: You write clean, production-quality Python. You're comfortable with async, APIs, data structures, and the engineering discipline that real systems require. • LLM tooling fluency: You've worked with the major LLM APIs and at least one agent orchestration framework. You know what structured output, tool calling, RAG, and evals look like in practice. • Product thinking: You can go from "here's a business process" to "here's an AI system design" without needing someone to translate. You think about the user, not just the model. • Ownership without guardrails: You drive features end to end — requirements, design, implementation, deployment, monitoring. You don't hand off to other teams at the hard parts. • Fast iteration: You ship early, measure, and improve. You're energized by short feedback loops and impatient with unnecessary process.

🏖️ Benefits

• Competitive compensation • Unlimited PTO • Remote-first with flexible hours • $2,000/year professional development budget • Home office setup stipend