ML Engineer Jobs in Delhi.
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About Manifest Global
Manifest Global is building the infrastructure for global human capital mobility -connecting students, schools, universities, and employers across 50+ countries. Our portfolio spans Cialfo (AI-powered college counseling, 2,000+ schools), BridgeU (university guidance for international schools globally), Kaaiser (trusted study abroad counseling across India and Southeast Asia), and Explore (AI-powered university outreach, 1,000+ university partners). Together, we move talent across borders at scale. $80M raised. Still early.
About This Role
Manifest Global operates four brands across 50+ countries, generating data across thousands of schools, hundreds of thousands of students, and 1,000+ university partners. Counselor behaviour, student application journeys, university conversion rates, placement outcomes, attribution revenue - it's all there. The data exists. The question is whether the infrastructure around it is good enough to make it useful.
Right now, the data platform works. Pipelines run, the warehouse holds data, the BI layer surfaces reports. But Manifest is growing - new brands, new markets, new activation use cases - and the infrastructure needs to scale with it. There are pipelines that need to be more reliable. Transformation logic that needs to be cleaner. Warehouse design that needs to handle more volume without degrading performance. And an activation layer - reverse ETL, operational analytics, data flowing into the tools the business actually uses - that is still being built.
As a Senior Data Engineer, you will own significant parts of the data platform end to end - ingestion, transformation, warehouse, activation - and you will be one of the people who determines whether Manifest's data infrastructure is a genuine competitive advantage or a persistent constraint. You will work closely with Principal Engineers, Product, and business stakeholders across all four brands, and you will be expected to operate with the ownership and judgment of someone who has built production-grade data systems before.
What makes this role different: Manifest has real data - cross-brand, multi-geography, commercially significant data. The stack is modern: Snowflake, dbt, Hevo, Airtable, Metabase. The problems are real. And when the data infrastructure surfaces the right insight, it changes a decision that affects real students and real institutions.
AI is central to how we build: This isn't just a data engineering role - it is a role where you will actively design and build AI infrastructure that accelerates the team's own development velocity. We use Snowflake Cortex AI with Claude in our daily engineering workflow - for debugging, RCA, query optimisation, and pipeline analysis. We have already cut root cause analysis time. The next step is embedding AI deeper: automated ticket handling, intelligent monitoring, and AI-assisted development tooling that lets the team move faster without sacrificing reliability.
What You Will Own
1. AI Infrastructure for Data Engineering
- Design and build AI-assisted development tooling - LLM-powered code generation for dbt models, SQL transformations, and pipeline scaffolding that dramatically reduces time-to-production for new data assets
- Build intelligent data quality and anomaly detection systems - AI-driven monitoring that learns normal patterns across pipelines and surfaces anomalies before they propagate downstream, replacing manual threshold-based alerting
- Implement AI-augmented data cataloguing and lineage - automated documentation generation, schema understanding, and semantic tagging so engineers spend less time writing docs and more time building
- Develop AI-powered pipeline debugging and root cause analysis - tooling that diagnoses failures, traces impact through the DAG, and proposes fixes rather than requiring engineers to trace failures manually
- Build and maintain the infrastructure that supports AI features - vector stores, embedding pipelines, retrieval layers, and model serving infrastructure that powers AI capabilities across Cialfo, BridgeU, and Explore
- Evaluate and adopt emerging AI developer tools - stay ahead of how AI tooling (Claude, Cortex AI, GitHub Copilot, LLM APIs) can be embedded into the team's workflow to shorten feedback loops and accelerate feature delivery
2. Data Warehouse Design, Cost & Maintenance
- Own significant portions of the Snowflake data warehouse - schema design, performance optimisation, and the integrity of the data models that the rest of the stack depends on
- Apply strong data warehousing methodologies: dimensional modelling, layered transformation logic, clear separation between raw, staged, and served layers
- Design and build cross-brand data primitives - shared, canonical data layers for K12, Student, University, and Application data that work consistently across Cialfo, BridgeU, and Kaaiser. This is active work and a critical foundation for the multi-brand data platform
- Own Snowflake cost optimisation - monitor warehouse spend, identify high-cost queries and sync jobs, right-size warehouse configurations, and drive measurable reductions in monthly compute spend.
- Ensure the warehouse handles increasing data volumes from across all four brands without degrading query performance or downstream reliability
3. ETL/ELT Pipelines, Scheduling & Transformation Logic
- Design, build, and maintain production-grade data pipelines - ingestion via Hevo or similar, transformation via dbt, SQL-based logic that is clean, documented, and maintainable
- Design and manage Snowflake Task DAGs - build and maintain dependency-chained task graphs for ingestion, LLM processing, and sync workflows. Understand how to structure root tasks, child tasks, CRON scheduling, warehouse assignment, and failure isolation so pipelines don't cascade-fail
- Own Airtable as an operational data layer - manage Snowflake-to-Airtable and Airtable-to-Snowflake sync workflows, including the
SNOWFLAKE_TO_AIRTABLE_TABLELISTsync config, upsert logic, incremental filters, and sync cost optimisation. Airtable is both a key data source and a reporting destination across brands - Build and own reverse ETL workflows that activate warehouse data into operational tools - getting the right data into the hands of the teams that need it, not just into dashboards
- Take full ownership of pipeline failures: root cause identification, fix, downstream impact analysis, and prevention - not just resolution
4. Data Quality & Reliability
- Define and enforce data quality standards across datasets you own - automated validations, delta checks, row counts, time-based monitoring
- Build monitoring and alerting that surfaces problems before they reach the business
- Document data lineage, transformation assumptions, and technical decisions so the platform is understandable and maintainable as the team grows
5. BI Platform & Reporting
- Maintain and enhance the existing BI layer - Metabase and build reporting interfaces that non-technical stakeholders can actually use
- Collaborate with Product and Analytics teams to translate business needs into reliable technical solutions
- Communicate clearly across all four brands - be the person who can explain a data problem in business terms and a business problem in data terms
What Success Looks Like
You'll start by building a complete picture of the current state - which pipelines are fragile, where data quality is inconsistent, what the highest-impact improvements look like, and where activation use cases aren't yet built. You will have a point of view on where to move first.
From there, the infrastructure will be measurably more reliable. Pipelines that were breaking will run consistently. Data quality issues will be caught early or prevented entirely. The BI layer will be getting used - not just maintained.
Over time, the data platform will be something the business genuinely relies on - fast enough to support the pace of growth, reliable enough that data consumers trust what they are looking at, and built in a way that the next engineer who joins can understand and extend without starting from scratch.
About You
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience
Experience
- 5+ years building and maintaining production-grade data pipelines and data warehouses - not prototypes, but systems that real business decisions depend on
- Strong experience architecting and implementing large-scale business intelligence solutions
- Strong experience in data warehouse design and advanced SQL
- Hands-on experience with the modern data stack: Snowflake (or equivalent cloud warehouse), dbt, Hevo or Airbyte or similar
- Advanced SQL proficiency: CTEs, window functions,
QUALIFY, query optimisation, and understanding the difference between SQL that works and SQL that scales - Experience with Snowflake-native features: Task DAGs, Dynamic Tables, Snowflake Cortex AI,
AI_COMPLETE, warehouse sizing, and query profiling - Experience with Airtable as an operational data layer - syncing data between Snowflake and Airtable, managing upsert logic, and keeping sync costs low
- Experience owning Snowflake cost monitoring and optimisation - identifying expensive queries, bloated sync jobs, and warehouse over-provisioning
- Experience with user-facing BI tools: Metabase, Looker, or similar
- Experience working in agile, ticket-based workflows (Jira)
- Experience building or integrating AI/LLM tooling into data engineering workflows - specifically Snowflake Cortex AI, or LLM APIs (OpenAI, Anthropic, etc.) for structured data tasks, fuzzy matching, or pipeline automation
- Familiarity with vector databases, embedding pipelines, or retrieval-augmented generation (RAG) infrastructure is a strong plus
- Exposure to MLOps or AI infrastructure patterns - model serving, feature stores, or AI monitoring - is an advantage
Skills & Qualities
- You take ownership of reliability. When a pipeline fails, you don't just fix the immediate problem - you understand why it happened, what it affected downstream, and what needs to change so it doesn't happen again
- You communicate clearly with non-technical stakeholders. You've sat in a requirements conversation with a commercial or product team, understood what they were actually asking for, and built something that answered the real question
- You document your work well enough that someone else could maintain it - data lineage, transformation assumptions, technical decisions
- Comfortable working in a multi-brand, multi-stakeholder environment where data problems span different systems, teams, and geographies
- Strong problem-solving skills and attention to detail
- Ability to hold multiple priorities simultaneously and make good judgments about what to work on first
- You're genuinely excited about AI as a force multiplier for engineering teams - you actively use AI tools in your own workflow and have a point of view on how they can make data teams faster without sacrificing reliability
Why Manifest
We're building the infrastructure for global human capital mobility - the rails that move students, schools, universities, and employers across 50+ countries. Cialfo is in 2,000+ schools. Explore is trusted by 1,000+ universities. BridgeU runs across the UK, Europe, and the Middle East. Kaaiser has guided students across India and Southeast Asia since 1997.
The opportunity is real. $700B flows annually in remittances from migrant workers. 85M workers will be missing from developed economies by 2030. We're building the operating system that changes that.
$80M raised from Tiger Global, SIG, and Square Peg. Still early.
The team has already built the infrastructure for AI-native engineering - shared conventions, a live skills library, AI-assisted workflows across engineering, QE, product, and design. Saige is in production. Explore's AI capabilities are in production. This isn't an aspiration we're hiring you to bring to life. It's an operating system we're hiring you to extend, scale, and make permanent.
Ready to apply?
Apply to Cialfo
Data Engineer
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Rhombus Power, Inc. delivers AI-powered predictive intelligence in real time for defense and national security organizations worldwide. Our mission-built products— Ambient AI and Guardian— are transforming strategic, operational, and tactical decision-making. By empowering the shift from reactive analysis to proactive, predictive intelligence and decision support, Rhombus Power is providing foresight and freedom of action when it matters most.
Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security.
Learn more about Rhombus Power, Inc. and watch a demonstration of Guardian, our AI Platform here:
https://www.youtube.com/watch?v=3PxY6su1Q-Q
https://www.youtube.com/@rhombuspower8558/videos
https://www.youtube.com/watch?v=Iby5WVNfQiI
See the following articles to learn more about what we do:
Rhombus Power India is purposefully transforming the nation’s defense and national security enterprises with Guardian, its Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance.
We are looking for people who are driven by a sense of purpose. In this role, you will serve as a Data Engineer to solve our customer’s uniquely complex problems. We expect you to be a systems-level thinker and a real doer. You will excel in this role if you are hungry to make a difference and are intellectually bold. And we sure hope that you smile when you hear our clients say, “If we can dream it, Rhombus can do it.”
Come join our cross-disciplinary and world-class team of technologists who are working hard every day to deliver game-changing solutions to transform national security.
Location
New Delhi, India
Job Description
Rhombus’ Data Engineers are instrumental in designing and implementing data engineering activities on topical, mission-driven projects that inform our national security agenda. They analyze, build, and maintain our organization’s data infrastructure and processing systems. As a Data Engineer, you’ll perform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. You’ll work cross functionally with other departments and utilize your skills at all stages of the analytics pipeline to create results that drive business values and customer success! You’ll be asked to travel to client sites where you’ll engage and collaborate directly with the client to discuss data pipelines, solutioning, and to ensure a strong client connection.
Responsibilities:
- Develop code using various programming and scripting languages to automate data ingestion and improve data management processes.
- Architect data repositories, stand up data platforms and develop data pipelines for ingestion, transformation, and aggregation.
- Review existing architecture, data strategy, and improve processes for data governance, data quality, and metadata management.
- Extract and analyze raw data from multiple data sources via APIs, SQL Stored Procedures, or Python scripts.
- Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms.
- Collaborate with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced, agile environment.
- You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for clients.
- Communicate project status and results to various levels of leadership.
Qualifications:
- A Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or other relevant area (or equivalent experience) and at least 1 year of professional experience, or a Master’s degree with strong academic project experience.
- Experience with 1 or more programming and scripting languages, with a strong focus on Python, Pandas and Numpy. Other languages include: Shell, PERL, Java, C/C++/C#, Scala, etc.
- Experience with 1 or more of the following relational, noSQL and/or file based storage (e.g. MYSQL, MongoDB, SQL Server, Oracle, Postgres, Hbase, DynamoDB, etc.)
- Experience building and maintaining ETL data pipelines
- Experience with software development life cycle including testing, documenting, delivery and support
- Working knowledge of AWS/cloud technologies
- Experience using query optimization as well as data modeling techniques.
- Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.)
Personal Qualities:
- Ability to contextualize data as it relates to Rhombus’ vision. We want someone who can understand the “why” and “so what”, and not just the “how”. Our Data Engineers help us transmit the enthusiasm we have around the data work to the individuals doing that work.
- Must have strong problem-solving skills and demonstrated excellent oral and written communication skills.
- We’re seeking folks with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems.
- Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive.
Ready to apply?
Apply to Rhombus Power, Inc.
Data Engineer
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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
The Role: We are seeking a candidate to join our team as a Data Engineer. The Data Engineer will partner with our close-knit team of quantitative researchers, technologists and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured large-scale data.
Job responsibilities include, but not limited to the followings:
- Enriching a wide range of structured and unstructured data into datasets for quantitative analysis and financial engineering.
- Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment.
- Becoming a domain expert on different deep learning and machine earning applications, analyzing & understanding the underlying dynamics and behaviors within the data.
- Develop insights based on the data and collaborate with the research team to generate signals.
- Developing the utility tools that can further automate the software development, testing and deployment workflow.
What You’ll Bring:
- Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field.
- Practical experience with and understanding of deep neural networks and other machine learning techniques.
- Demonstrated ability to implement data science pipelines and real-time applications in Python
- 3+ years of relevant experience as a Data Engineer or similar roles.
- Proficiency with python-based tools like Jupyter notebook, coding standards like pep8.
- Experience with LLM/AI for data processing is a plus
- Exceptional analytical & problem-solving abilities, with a strong attention to detail.
- Good command of English
- Excellent software development skills: ability to convert rough overall use-cases to a working codebase.\
- Motivated by a deep curiosity and passion to learn is a plus.
- Past experience as a data scientist or data engineer in finance or investment profile is a plus.
- Experience with Linux/Unix shell and Git is a plus.
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
Ready to apply?
Apply to WorldQuantStaff Software Engineer, Agentic Platform
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ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE
Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.
We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.
As a Staff Engineer you’ll:
- Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration
- Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
- Work with product, data, platform, and security teams to productionise shared AI capabilities
- Design services that are reliable, secure, observable, and easy for other teams to adopt
- Help shape reusable engineering patterns for AI-enabled workflows
WHAT WE ARE LOOKING FOR:
- Strong backend or platform engineering experience in production environments.
- Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
- Experience integrating internal and third-party platforms.
- Comfort working in ambiguity and turning emerging needs into robust platform components.
- Strong focus on quality, reliability, and developer usability.
- Experience with AI infrastructure or orchestration is helpful, but not essential.
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
Our Tech Stack:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN
- Competitive Compensation - competitive salary and share options
- Time Off – Generous annual leave on top of bank holidays.
- Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
- Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
- Health Insurance – Private family insurance with additional OPD coverage and top-up options.
- Life & Accident Cover – Comprehensive accidental and life insurance protection.
- Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
- Volunteering & Development Days – Paid days annually for volunteering or personal growth.
- Learning & Development – Annual budget for books, courses, coaching, and more.
- WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
- Home Office Setup – Contribution towards setting up your home office
- Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
- Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideSenior Staff Software Engineer, Agentic Platform
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ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE:
Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.
As a Senior Staff Engineer you’ll:
- Define the architecture for Tide’s agentic platform
- Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability
- Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
- Set standards for reliability, safety, scalability, and developer experience
- Provide technical leadership across teams and unblock critical decisions
- Implement cost-management and routing logic to optimize LLM spend across different providers
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
WHAT WE ARE LOOKING FOR:
- Deep experience building platform or infrastructure systems at scale
- Strong judgement across APIs, distributed systems, data, and cloud-native architecture
- Track record of leading complex cross-team technical problems
- Experience integrating third-party platforms without losing control of core architecture
- Strong understanding of reliability, security, and observability
- Experience with AI platform components is valuable, but not essential
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable
Our Tech Stack:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN:
- Competitive Compensation - competitive salary and share options
- Time Off – Generous annual leave on top of bank holidays.
- Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
- Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
- Health Insurance – Private family insurance with additional OPD coverage and top-up options.
- Life & Accident Cover – Comprehensive accidental and life insurance protection.
- Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
- Volunteering & Development Days – Paid days annually for volunteering or personal growth.
- Learning & Development – Annual budget for books, courses, coaching, and more.
- WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
- Home Office Setup – Contribution towards setting up your home office
- Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
- Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideCome join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent.
Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re the leading player in a massive and growing market, but it’s still early enough for you to make a significant impact. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster.
SUMMARY
As a Senior Solutions Engineer, you will be responsible for supporting our Mid-Enterprise customers, reporting to the regional Director Solutions Engineering - India. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution.
WHAT YOU’LL DO
- Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
- Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes.
- Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
- Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
- Represent Wiz in technical forums such as trade shows, technical meetups, and industry events.
WHAT YOU’LL BRING
- Ability to deliver world class demonstrations and training experience to our channel customers
- Mastered the technical sales process
- Thrive in a creative technical role assisting partners to build a technical business delivery model
- Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
- Ability to travel
- Cloud security experience
- AWS/Azure/GCP hands on experience
- Network engineering experience
- Strong operating system, virtual machine, and container knowledge
- Knowledge of risk-based security assessments and frameworks
- Understanding of cloud identity, access, certificates, and keys
BONUS POINTS:
- Experience with traditional CSPM tools
- SaaS experience
- Awareness of the CI/CD process
- Familiarity with Infrastructure as Code
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.
Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Ready to apply?
Apply to Wiz, Inc.
Senior Staff Software Engineer, Agentic Platform
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ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
We are hiring across multiple locations
India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin
ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE:
Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.
As a Senior Staff Engineer you’ll:
- Define the architecture for Tide’s agentic platform
- Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability
- Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
- Set standards for reliability, safety, scalability, and developer experience
- Provide technical leadership across teams and unblock critical decisions
- Implement cost-management and routing logic to optimize LLM spend across different providers
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
WHAT WE ARE LOOKING FOR:
- Deep experience building platform or infrastructure systems at scale
- Strong judgement across APIs, distributed systems, data, and cloud-native architecture
- Track record of leading complex cross-team technical problems
- Experience integrating third-party platforms without losing control of core architecture
- Strong understanding of reliability, security, and observability
- Experience with AI platform components is valuable, but not essential
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable
Our Tech Stack:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideStaff Software Engineer, Agentic Platform
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ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
We are hiring across multiple locations
India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin
ABOUT THE ROLE
Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.
We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.
As a Staff Engineer you’ll:
- Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration
- Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
- Work with product, data, platform, and security teams to productionise shared AI capabilities
- Design services that are reliable, secure, observable, and easy for other teams to adopt
- Help shape reusable engineering patterns for AI-enabled workflows
WHAT WE ARE LOOKING FOR:
- Strong backend or platform engineering experience in production environments.
- Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
- Experience integrating internal and third-party platforms.
- Comfort working in ambiguity and turning emerging needs into robust platform components.
- Strong focus on quality, reliability, and developer usability.
- Experience with AI infrastructure or orchestration is helpful, but not essential.
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
Our Tech Stack:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at Tide
Product Engineer - Geospatial Data Science - GeoAI
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Overview
Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges.
Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI, and geospatial deep learning. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software.
As a Product Engineer, you will play a key role in ensuring the quality and usability of our geospatial AI tools, models, and libraries. You will design and implement test plans, write test code, and validate software, SDKs, and AI models to help deliver robust, high-quality products to our customers. This will also include performing, documenting, and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, and gathering requirements. If you are passionate about geospatial AI, have a deep understanding of the product and customer needs, and communicate effectively via writing and presentations, this is the place to be!
Responsibilities
- Develop and implement test plans and test cases, write test code, verify code changes, bug fixes for the relevant and related products to maintain product quality
- Review and analyse test results; report status on software quality and stability; test and certify software, SDK, and AI model quality
- Troubleshoot and triage customer issues, analyse user feedback to identify areas for improvement
- Collaborate with data scientists and engineers on the testing, documentation and release of tools, APIs and pretrained models for geospatial AI
- Develop samples, tutorials, documentation, blog posts and presentation of product features
- Develop pre-trained geospatial AI models for imagery, 3D datasets and text
Requirements
- 2 to 8 years of industry experience in a software development or QA environment, preferably in product-based or geospatial consulting companies
- Hands-on experience in QA processes, implementing test plans, developing or managing test automation, and product certification
- Proficiency in Python and Jupyter notebooks, GIS libraries like GDAL/Rasterio or ArcPy, and/or testing frameworks like Pytest
- Familiarity with GIS concepts, spatial data, and geospatial workflows
- Basic understanding of machine learning and deep learning workflows
- Effective project management, time management, and organizational skills
- Technical writing skills and experience authoring samples, blog posts, and product documentation
- Bachelor's in GIS, geography, engineering, computer science, math, or related fields
- Existing work authorization for India
Recommended Qualifications
- Master's in GIS, geography, engineering, computer science, math, or related fields
- Strong knowledge of software QA methodologies, tools, and processes
- Experience working in an Agile/Scrum development process
- Hands-on experience with the ArcGIS suite of products or open-source GIS software
- Experience with remote sensing, satellite imagery, and multispectral image analysis
#LI-PK1
#LI-Hybrid
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Staff Software Engineer
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About 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 S&P 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
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.
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.
Ready to apply?
Apply to AlphaSense India
Principal Software Engineer, AI
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About 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 S&P 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 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.
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.
Ready to apply?
Apply to AlphaSense
Principal Software Engineer, AI
Share this job
About 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 S&P 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 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.
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.
Ready to apply?
Apply to AlphaSense India
Senior Software Engineer (AI Applications)
Share this job
About 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 S&P 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:
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.
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.
Ready to apply?
Apply to AlphaSense India
Senior Software Engineer (AI Applications)
Share this job
About 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 S&P 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:
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.
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.
Ready to apply?
Apply to AlphaSense
Senior Software Engineer (AI Applications)
Share this job
About 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 S&P 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:
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.
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.
Ready to apply?
Apply to AlphaSense
Senior Software Engineer (AI Applications)
Share this job
About 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 S&P 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:
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.
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.
Ready to apply?
Apply to AlphaSense India
Senior Software Engineer (AI Applications)
Share this job
About 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 S&P 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:
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.
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.
Ready to apply?
Apply to AlphaSense
Senior Software Engineer (AI Applications)
Share this job
About 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 S&P 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:
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.
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.
Ready to apply?
Apply to AlphaSense India
Python Developer/ Senior Python Developer
Share this job
About APT Research Pvt. Ltd.
APT Research is the research and data analytics arm of APT Portfolio, a quantitative investment firm that thrives on cutting-edge technology, scientific thinking, and deep market insight. We are a team of scientists, engineers, and innovators powering algorithmic trading and financial research at scale. Learn more at www.aptportfolio.com.
The Data Management & Research (DMR) team plays a pivotal role in building high-performance systems, storage, distributed computing systems, research infrastructure, and pipelines that process, store, and analyze market data across global exchanges, enabling the firm's trading decisions and investment strategies.
About the Role
We are looking for a Senior Software Engineer / Tech Lead to join our DMR team — a self- driven engineer who enjoys solving hard problems, building scalable systems, and mentoring others while remaining deeply hands-on with code.
This role blends individual technical depth with people and project leadership, making it ideal for someone who thrives in a fast-paced, analytical environment and wants to contribute across the stack — from systems architecture to production deployments.
What You’ll Do
· Design, prototype, and build robust data pipelines, APIs, and analytical systems using Python
· Own and evolve large-scale distributed systems across PostgreSQL, MongoDB, and ClickHouse
· Lead and mentor junior engineers while maintaining your own strong IC contributions
· Collaborate with product managers, researchers, and trading teams to scope and ship features
· Bring a systems thinking mindset — ensuring performance, monitoring, and maintainability
· Rapidly prototype and iterate on solutions for real-time data processing and analytics
· Drive best practices in software development, testing, and code reviews.
What We’re Looking For
· Strong hands-on experience with Python and data-intensive system design
· Deep understanding of relational and NoSQL databases, especially Postgres, MongoDB, and ClickHouse
· Experience with data analytics, machine learning basics, and system-level programming
· Exposure to or interest in trading systems, market data, or financial analytics
· Demonstrated ability to lead technical projects and mentor engineers
· Strong fundamentals in system design, performance tuning, and software architecture
· Ability to balance long-term technical vision with quick prototyping and agile execution
Bonus Points For
· Prior experience in fintech, quantitative research, or high-frequency trading environments
· Familiarity with C++, Kubernetes, full stack development, or CI/CD tooling
· Strong opinions on architectural choices — but humble enough to change them
· Past experience managing small to mid-sized engineering teams or projects
Why Join Us?
· Work as part of a team building real-world, high-performance software from the ground up.
· Deep exposure to the intersection of data, research, and financial markets
· Opportunity to influence technical direction and build domain expertise across stacks
· Culture of intellectual rigor, hands-on ownership, and constant iteration
Ready to apply?
Apply to APT Research