Jobs at Infrrd

Lead growth marketing for Infrrd’s enterprise AI business in the US market. Responsibilities include integrated multi-channel campaigns, demand generation, ABM, growth experimentation, campaign analytics, budget management, and sales alignment. The role focuses on improving lead quality, conversion rates, marketing-qualified pipeline, and revenue impact while translating complex AI capabilities into compelling enterprise messaging.

Performs manual, functional, regression, integration, exploratory, UI, and API testing for Angular applications and backend services. Builds and maintains Playwright and TypeScript automation using reusable OOP-based components, runs test suites in CI pipelines, investigates failures, and manages defects through resolution. Converts requirements into test cases, contributes to sprint ceremonies and acceptance criteria, and maintains test documentation, data, and coverage.

Conduct research experiments on agentic document extraction, LLM-based auditing, table extraction, and model-output verification. Build prototypes, evaluation harnesses, and executable checks; analyze model errors and reasoning traces; validate datasets; review research literature; and document reproducible methodologies and results. The role focuses on enterprise document AI using language and vision-language models, with opportunities to work on NLP, computer vision, reinforcement learning post-training, and synthetic data generation.

Serves as the primary authority on US mortgage underwriting and quality control across VA, FHA, and Conventional loans. Leads client workshops, translates lending guidelines into product requirements, resolves escalations, supports sales activities, audits QC reviews, identifies defect patterns, validates AI document extraction, tracks regulatory updates, and trains internal and client teams.

Build and debug Python features and utilities for an intelligent document processing product, implement GenAI/LLM workflows (LangChain/OpenAI), design PGVector-based retrieval, create evaluators and test harnesses, instrument logs/metrics, triage and ship fixes, harden deployments, and maintain SOPs and runbooks for integrations and compliance-sensitive flows.

Manages a team of residential mortgage underwriters and QC analysts, overseeing loan underwriting, post-closing quality control, compliance, escalations, staffing, training, and performance. Reviews complex VA, FHA, and Conventional loans; ensures adherence to agency, investor, and regulatory guidelines; leads root-cause analysis and CAPA initiatives; tracks quality, turnaround, productivity, and defect metrics; and supports internal, investor, HUD, and VA audits.

Build and own high-throughput Java backend services for mortgage document processing. Design asynchronous pipelines, LLM integrations, resilience and failover logic, and production observability. Optimize accuracy, latency, and cost while debugging production issues. Review code, write design documents, decompose features, and mentor junior engineers. The role requires strong concurrent Java architecture, Spring Boot microservices, NoSQL and relational databases, containerization, Kubernetes, and cloud experience.

Processes, annotates, corrects, verifies, and classifies US mortgage documents. Ensures data quality, maintains confidentiality and compliance, generates reports, meets productivity targets, and collaborates with internal teams. Requires detailed knowledge of mortgage documentation, accurate data entry, strong communication, and proficiency with Excel and Google productivity tools. This is a Bangalore-based, office-based contract role with rotational shifts after training.

Leads the QA team and owns quality strategy for an AI platform. Responsibilities include architecting Playwright UI automation for Angular and React, API testing across Spring Boot and Python microservices, MongoDB test data management, CI/CD integration, quality metrics, release decisions, shift-left practices, and collaboration on performance and reliability testing.