
Job Overview
Location
Remote - India
Job Type
Full-time
Category
Software Engineering
Date Posted
June 22, 2026
Full Job Description
đź“‹ Description
- • Spearhead AI innovation by researching, evaluating, and prototyping cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other advanced techniques to solve complex data extraction challenges from millions of unstructured documents and multimedia files daily.
- • Architect robust, highly scalable, and cost-effective AI services and data processing pipelines that serve as the backbone for processing millions of documents with high reliability and throughput.
- • Tackle real-world production AI challenges including managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that ensure consistent performance under high load.
- • Act as the chief technical authority and foundational pillar for the Content portfolio, shaping the future of content intelligence by pioneering solutions for document ingestion, classification, entity extraction, and image search.
- • Drive mission-critical AI initiatives from concept to production, serving as a key technical mentor and thought leader for the engineering team without direct authority, influencing direction across multiple teams.
- • Design and implement large-scale distributed systems with deep expertise in asynchronous patterns, streaming/queuing/caching strategies, and robust observability through logging, metrics, and distributed tracing.
- • Build and scale production-grade backend services using modern frameworks such as FastAPI, Django, or Spring Boot, ensuring high availability, performance, and maintainability in a cloud-native environment.
- • Collaborate cross-functionally to translate business needs into technical roadmaps, aligning AI capabilities with product goals to deliver actionable market intelligence to over 6,000 enterprise customers.
- • Establish a center of excellence for AI/ML engineering by defining best practices, standards, and patterns for model development, deployment, monitoring, and iteration in a high-volume production setting.
- • Continuously optimize system efficiency and cost-effectiveness while maintaining strict reliability standards for AI-driven content processing at global scale.
🎯 Requirements
- • 10+ years of professional software engineering experience with a proven track record of building complex, data-intensive backend systems
- • Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, or Spring Boot
- • Mastery in designing large-scale distributed systems with strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing)
- • Exceptional communication and leadership skills to articulate complex technical concepts and influence engineering direction across teams without direct authority
🏖️ Benefits
- • Opportunity to shape the future of AI-driven market intelligence as a founding engineer in the Content portfolio
- • Work on cutting-edge AI technologies including LLMs and Computer Vision at scale
- • Collaborate in a diverse, inclusive, and globally distributed engineering team
- • Join a company trusted by over 6,000 enterprise customers including a majority of the S&P 500
- • Access to a dynamic work environment focused on innovation, growth, and continuous improvement
- • Equal opportunity employer with commitment to inclusion, reasonable accommodations, and non-discrimination in all aspects of employment
Skills & Technologies
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About AlphaSense, Inc.
AlphaSense is a market intelligence platform that uses AI to search and analyze financial documents, earnings calls, broker research, news, and regulatory filings for investment firms, corporations, and consultancies. The SaaS product applies natural-language processing to surface relevant insights, trends, and sentiment across millions of sources in real time, enabling faster and more informed decisions.
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