Senior Software Engineer - Vector Search

Senior Software Engineer - Vector Search
Location: New York, NY

About AlphaSense: 

AlphaSense is a market intelligence platform used by the world’s leading companies and financial institutions. Since 2011, our AI-based technology has helped professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including company filings, event transcripts, news, trade journals, and equity research. Our platform is trusted by over 5,000 enterprise customers, including a majority of the S&P 500. Headquartered in New York City, AlphaSense employs over 1,500 people across offices in the U.S., U.K., Finland, and India. For more information, please visit www.alpha-sense.com.

About the Team:

At AlphaSense, the Search & AI team is at the forefront of building the next generation of search infrastructure, crafting the platform and services that power our AI-driven search capabilities. 

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role:

Are you a seasoned software engineer passionate about cutting-edge innovation in vector search? We’re looking for a visionary Senior Software Engineer to be part of our dynamic Vector Search team within the Search & AI Mission.

As a key member of the Vector Search team, you’ll spearhead the development of hybrid/vector search solutions that redefine what’s possible in AI-powered search.

Collaborate with a team of top-tier engineers, drive innovation, and deliver scalable solutions for our world-class platform. This is your opportunity to shape the future of search technology!

What You’ll Do:

• Build out AlphaSense’s hybrid/vector search infrastructure and capabilities, drive a step-change improvement in search quality, and help launch/improve key products such as the AlphaSense Assistant.
• Be the thought leader and domain expert for all things vector search for AlphaSense and drive innovation for AlphaSense in this area. 
• Work closely with the SRE and other team members to solve the incidents with the Infrastructure layer. 
• Architect, design, and implement highly scalable backend services powering AlphaSense Search & AI products.
• Own and improve the reliability, latency, and cost of hybrid/vector search infrastructure and services in cloud environments.
• Deliver software into production environments with excellent quality and full ownership.
• Work with partner engineering teams to design and optimize our search and document processing pipeline.
• Work closely with Product Management and Research to translate product requirements into software architectures.

Who You Are:

• A BS/MS/PhD degree in a relevant technical discipline, such as Computer Science, Engineering, or Information Technology, is highly desired, but equivalent experience will also be considered.
• Hands-on experience with vector search engines and hybrid search solutions, ideally as part of a larger RAG architecture.
• 4+ years of experience with open-source search engines (eg. Vespa, Quadrant, Elasticsearch, OpenSearch).
• A strong software engineer who can design large-scale software systems, and write high-quality code and tests.
• 6+ years of software development experience in building scalable, high-performing, and robust applications. Familiarity with Kubernetes, Docker, and cloud platforms like AWS or GCP.
• Proficient in Java and/or Python, and familiar with IAC technologies such as Terraform, ArgoCD, and Crossplane.
• Experience producing high-quality software designs to support long-term maintainability and extensibility of systems and code.
• Experience in indexing large-scale datasets.
• An excellent communicator with strong organizational, problem-solving, debugging, and analytical skills.
• Experience working in a cross-functional distributed team environment.
• Nice to have: Enterprise search experience and also experience from ranking and search relevancy tuning.
• Nice to have: Knowledge about the Internals of Distributed systems, Search & vector search Eg: Sharding, replication, etc.

AlphaSense is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Compensation Range*: $150,000 - $230,000

Additional Components: You may also be offered equity, and a generous benefits program.

*For base compensation, we set standard ranges for all US-based roles based on function, level and geographic location, benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including geographic location as well as candidate experience/expertise and may vary from the amounts listed above.