Browse our talent pool

Product Manager / Business Analyst with 4+ years in B2B software for data-heavy engineering workflows. Owned the full release cycle across 9 releases, from scope and prioritization to acceptance and client communication. Strong in turning complex workflows into clear user journeys

Applied AI and Machine Learning Engineer specializing in LLMs, multimodal AI, retrieval systems, and production AI platforms. Experienced in taking AI capabilities from model research and data preparation through evaluation, inference optimization, backend integration, and production deployment. Built and deployed LLM/VLM, OCR, semantic search, speech, and RAG systems supporting real users across multiple hospital departments, with hands-on experience in model fine-tuning, distributed training, GPU serving, orchestration, and AI infrastructure. Experienced in translating ambiguous requirements into end-to-end AI systems and collaborating with engineering, infrastructure, data, and business stakeholders to move prototypes into operational use.

14+ years of fintech and BFSI experience, including 5+ years in product leadership across credit decisioning, digital lending, fraud, identity and KYC platforms. Built and scaled multi-tenant SaaS products serving India's leading banks, NBFCs and fintechs, with $13M+ ARR across the portfolio. Experience spans product strategy, portfolio and P&L ownership, enterprise customer engagement, platform localization, ecosystem partnerships and commercialization. Combines product leadership with prior frontline experience in retail lending and enterprise sales, bringing a strong understanding of how financial institutions evaluate, buy, implement and adopt technology. Currently extending this domain expertise into applied GenAI for credit and risk workflows, alongside consulting engagements across fintech and BFSI. MBA from IIM Calcutta.

Lead AI Engineer and Data Scientist (M.S. in Data Science, B.S. in Computer Science) specializing in turning AI concepts into reliable production systems. I build real-time LLM and RAG pipelines, vector search architectures (Qdrant), and cost-effective cloud infrastructure on GCP and AWS. In my current role, I lead engineering teams, manage cloud budgets, and set clear technical workflows so developers can ship fast, reliable AI tools without duplicating work or breaking production. Having previously lived and worked in South Korea for 12 years, I am relocating back to Seoul permanently and qualify for an F-4 visa (no company sponsorship required)

R&D engineer specialized in power electronics and inductive components, with experience leading the design and development of On Board Chargers, filters, and HV-LV DCDC converters. Skilled in managing the full product lifecycle— from concept and material selection to mass production—while ensuring compliance with industrial and automotive standards. My interdisciplinary background in mechanical engineering and MEMS-based biosensor research enhances my ability to approach challenges with innovation and precision.

15+ years across infrastructure systems, technical support, software engineering, network engineering and client-facing operations in various industries. Proactively integrating AI into automation and operational processes. Multi-lingual. Comfortable with on-calls, 2nd/3rd/weekend shifts and supporting globally distributed teams and customers in 24/7 environments across multiple time zones.

Software Development Engineer in Test with 7+ years of experience in software quality engineering, test automation, API testing, and enterprise software delivery. Experienced in balancing manual and exploratory testing with automation, investigating technical problems, and developing practical solutions that improve testing capability and product quality.

Early-career software engineer with 10+ years of professional experience in financial services — underwriting VA mortgage loans under strict regulatory and compliance requirements — now pursuing a B.S. in Computer Science (expected Spring 2028) and building full-stack software independently, including a REST API layer connecting a React frontend to a Node.js/PostgreSQL backend. Brings a rare combination of deep fluency in regulated, compliance-driven financial workflows and hands-on software engineering skill, sharpened by 6+ months evaluating AI-generated output for accuracy through Veterans United's internal AI Development Pilot Program. Comfortable troubleshooting issues across system boundaries, built from 10+ years coordinating four interdependent platforms under compliance deadlines.

Senior Frontend Engineer with 8+ years of experience building complex frontend applications, internal platforms, and data-heavy user interfaces. Strong focus on React, TypeScript, frontend architecture, API integration, state management, testing, and legacy modernization. Experienced as a sole frontend owner and frontend lead, taking products from initial architecture and setup to delivery, release support, and long-term maintenance.

Recent Computer Science graduate (B.S., UMD, Dec 2026, 3.8 GPA) with software engineering internship experience across defense and edtech. Developed internal developer tooling with Python and REST APIs at Northrop Grumman, and built full-stack React applications integrating AI APIs. Proficient in Python, JavaScript, Java, and React; fluent in Korean.