India onlyAbout AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the SP 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Role:
We are looking for a Staff Software Engineer with deep production experience in Python and hands-on expertise in AI systems — particularly Large Language Models (LLMs), BERT, or similar architectures. You’ll play a key role in building scalable, intelligent systems that power our next-generation AI capabilities.
As a Staff Engineer, you’ll collaborate closely with product teams, engineers within the team and also cross collaboration and to design and implement robust, high-performance solutions that bring AI research into production.
What You’ll Do :
- Design and deliver production-grade systems and scalable AI pipelines, integrating models such as LLMs, BERT, and other architectures into Alphasense product.
- Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
- Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
- Drive technical excellence through robust system design, algorithm optimization, and high-performance model deployment.
- Collaborate cross-functionally with product and business stakeholders to align technical strategies with roadmap goals, ensuring business impact and delivery predictability.
- Own end-to-end execution — from requirements to release — facilitating technical discussions, unblocking teams, and accurately forecasting deliverables.
- Ensure quality and reliability by proactively engaging in release planning, maintaining high development standards, and upholding service SLOs/SLIs in production.
- Apply strong DevOps practices to monitor, troubleshoot, and optimize production systems, anticipating and resolving risks early.
- Partner with other Engineers in the teamto shape engineering standards, mentor peers across teams, and cultivate a culture of learning, documentation, and shared technical ownership.
Must Have
- Expert in building scalable, high-performing, and robust applications in Python
- Several years of production-level experience designing, deploying, and maintaining Python-based systems
- Hands-on experience (1–2 years) working with AI models such as LLMs, BERT, or similar architectures at a large scale
- Strong understanding of algorithms, data structures, complexity analysis, problem-solving, and object-oriented design
- Proficient with Kubernetes or equivalent container orchestration platforms
- Deep understanding of SQL/NoSQL databases and data modeling principles
- Experience working with cloud infrastructure (AWS, Azure, or GCP) and Infrastructure as Code (IaC) tools
- Experience in owning services end-to-end — building, running, performing iterative improvements and observability
- Strong experience in writing RFCs, creating technical documentation, and driving engineering best practices
Good to Have
- Experience with Java
- Stay up-to-date with the latest advancements in relevant technologies
- Experience with testing frameworks
- Experience with GitOps, ArgoCD
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.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
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