Role Summary: 

AlphaSense is seeking multiple skilled transcript editors to join our team and contribute to the seamless conversion of recorded events (interviews, webcasts, phone calls, etc.), into accurate and organized transcripts for use by AlphaSense’s clients. The ideal candidate will possess exceptional listening skills, solid English grammar skills, the ability to work quickly and efficiently while delivering a high quality product, and strong attention to detail. The role principally entails editing transcripts to match audio files verbatim, correctly identifying speaker names, product names, and numbers, as well as correcting grammar and punctuation, all within tight turnaround times. 

Roles &  Responsibilities:

• Review, edit, and proofread transcripts for accuracy, clarity, and adherence to company standards and format.
• Identify and correct errors, including grammar, punctuation, spelling, formatting issues, and speaker and product identification.
• Ensure transcripts are contextually accurate and reflect industry-specific terminology when applicable, using in house custom dictionaries, or independent internet searches as required.
• Organize, format, and deliver transcripts in the required format and within set deadlines.
• Maintain confidentiality and handle sensitive content with discretion.
• Maintain steady focus to achieve best possible turnaround times.

Candidate Requirements:

• The ideal candidate will have proven experience in transcription, editing, or a related field.
• Strong listening skills and the ability to understand different accents, and audio qualities.
• Excellent command of the English language, including grammar, syntax, and punctuation.
• Attention to detail and the ability to produce error-free work.
• Proficiency in using text editing and document formatting software (e.g., Microsoft Word, Google Docs).
• Proficiency with other tools such as instant messaging applications, Excel, email, etc.
• Ability to work under tight deadlines and manage multiple editing projects at once.
• Familiarity with AI transcription tools would be a plus.
• Broad financial literacy and a general understanding of financial market concepts would be a plus. 
• Knowledge of specific industries and companies (e.g., finance, tech, medical, biotech) and their terminologies would be a plus.

Preferred Skills:

• Experience with transcription and/or editing calls, webcasts, or medical reports on a short timeline.
• Experience with CK Editor or other editing software would be a plus but is not required.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Role

Join us as a Full Stack Staff Engineer to lead the evolution of the AlphaSense Application Portfolio through robust architecture and cutting-edge AI integration. This role is designed for a seasoned engineer who thrives on solving massive-scale frontend challenges and building performant, customer-focused systems. You will act as a strategic lead—researching and architecting solutions for complex frontends, while fostering a culture of technical excellence across the team. If you are looking to combine hands-on AI innovation with high-impact organizational leadership, this role is for you.

What You’ll Do:

• Serve as the Architectural Anchor for integrating AI into the product fabric. You will research, prototype, and deploy cutting-edge solutions using LLMs and the latest frontend technologies, ensuring these models are not just theoretical but are seamlessly integrated into high-performance, user-facing applications.
• Design the frontend architecture that serves as the gateway to our AI platform. You will build robust, scalable interfaces capable of rendering insights from millions of documents with sub-second latency. By bridging the gap between complex AI services and the end-user, you will ensure that massive-scale data is transformed into performant, intuitive, and highly responsive web applications.
• Partner with cross-functional, distributed teams to evaluate and adopt emerging technologies, while leading the seamless integration and optimization of intelligent features and high-impact workflows across the platform
• Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who you are

Core Qualifications

• 8+ years of experience building complex, data-intensive full-stack systems, with 5+ years specifically scaling production-grade services using Node.js, GraphQL, and modern JavaScript/TypeScript ecosystems.
• Deep expertise in React and TypeScript; a proven ability to codify performance best practices, navigate complex architectural trade-offs, and drive code-level improvements.
• Proven success in designing large-scale asynchronous systems using streaming, queuing, and caching strategies, supported by robust observability (logging, metrics, tracing).
• Strong proficiency with SQL/NoSQL (e.g., DynamoDB, Elasticsearch, Vespa) and cloud-native development within AWS or GCP.
• Working knowledge of Python or Java/Spring.
• Passion for AI-assisted development (e.g., Cursor, Claude) 
• Exceptional communicator able to articulate complex technical concepts and influence engineering direction across multiple teams without direct authority.
• Prior experience at global technology companies or high-growth product organizations with a high-bar engineering culture.

Nice to have

• Proficient in modern DevOps/MLOps, including CI/CD, IaC, and automated testing frameworks.
• Hands-on experience with Docker and Kubernetes for containerized application delivery.

Practical experience deploying LLM applications, agentic frameworks, or scalable AI infrastructure.

About The Role:

Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization.

Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company.

Who You Are:

• 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position
• Strong background in running production SaaS systems at scale.
• Proficiency in at least one programming/scripting language (Python, Go, or similar).
• Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
• Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing).
• Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK).
• Familiarity with advanced observability (OTEL, continuous profiling).
• Proven incident management experience, including leading high-severity incidents and postmortems.
• Strong troubleshooting skills across the full stack.
• Excellent communication and collaboration skills.

What You’ll Do

• Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture.
• Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention.
• Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards.
• Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements.
• Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively.
• Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing.

About The Role:

Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization.

Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company.

Who You Are:

• 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position
• Strong background in running production SaaS systems at scale.
• Proficiency in at least one programming/scripting language (Python, Go, or similar).
• Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
• Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing).
• Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK).
• Familiarity with advanced observability (OTEL, continuous profiling).
• Proven incident management experience, including leading high-severity incidents and postmortems.
• Strong troubleshooting skills across the full stack.
• Excellent communication and collaboration skills.

What You’ll Do

• Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture.
• Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention.
• Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards.
• Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements.
• Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively.
• Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing.

About The Role:

Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization.

Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company.

Who You Are:

• 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position
• Strong background in running production SaaS systems at scale.
• Proficiency in at least one programming/scripting language (Python, Go, or similar).
• Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
• Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing).
• Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK).
• Familiarity with advanced observability (OTEL, continuous profiling).
• Proven incident management experience, including leading high-severity incidents and postmortems.
• Strong troubleshooting skills across the full stack.
• Excellent communication and collaboration skills.

What You’ll Do

• Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture.
• Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention.
• Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards.
• Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements.
• Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively.
• Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ 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, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ 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, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Senior Staff AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 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, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ 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, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. 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.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. 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.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. 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.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role

AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.

This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.

What You'll Do

• Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
• Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
• Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
• Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
• Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability

What We're Looking For

Required:

• 12+ years building and operating distributed systems in production
• Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
• Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
• Experience leading technical initiatives and mentoring engineering teams
• Strong coding skills with ability to work across the stack
• Excellence in debugging production issues and implementing comprehensive observability
• History of making pragmatic trade-offs between perfect and shipped

Preferred:

• Experience with LLM applications, agent frameworks, or AI/ML infrastructure
• Familiarity with prompt engineering, RAG patterns, vector databases
• Background at high-growth companies or modern engineering cultures
• Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)

Impact You'll Have

Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.

About the Role

AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.

This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.

What You'll Do

• Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
• Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
• Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
• Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
• Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability

What We're Looking For

Required:

• 8+ years building and operating distributed systems in production
• Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
• Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
• Experience leading technical initiatives and mentoring engineering teams
• Strong coding skills with ability to work across the stack
• Excellence in debugging production issues and implementing comprehensive observability
• History of making pragmatic trade-offs between perfect and shipped

Preferred:

• Experience with LLM applications, agent frameworks, or AI/ML infrastructure
• Familiarity with prompt engineering, RAG patterns, vector databases
• Background at high-growth companies or modern engineering cultures
• Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)

Impact You'll Have

Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.