Prompt Engineer Jobs in Delhi.
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About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
Senior Technical Marketing Engineer – Zscaler Private Access (ZPA).We are seeking a highly qualified Senior Technical Marketing Engineer to join our team. This is a hybrid position based in Bengaluru, reporting directly to the Director of Product Management within the Product Management organization.
As a Technical Marketing Engineer operating within the Product Management function, you will serve as the essential technical liaison between engineering innovation and market execution. Your responsibilities will include translating complex product capabilities into compelling technical content—including comprehensive whitepapers, detailed architectural guides, and high-impact demonstrations—while ensuring our field teams possess the necessary technical proof points to secure competitive victories.
Key Responsibilities
- Serve as the ZPA product specialist across connectors, segmentation, user-to-app policy architecture, and Zero Trust Exchange integration.
- Handle field Product Engagement Requests and represent ZPA in deep-dives, architecture reviews, and proof-of-value engagements.
- Enable the field via training, deal-specific technical consultation, and scalable sessions to build Sales Engineer competency.
- Support critical deal closures with technical proof points, competitive positioning, and hands-on help during evaluation cycles.
- Improve deployment and adoption by finding gaps, driving fixes, and translating field feedback into action with cross-functional teams.
- Own ZPA collateral and demos: maintain the library, build high-impact demos, create Day 2 operations content, and deliver competitive analysis.
Who You Are (Success Profile)
- Deeply committed to the mission, acts with integrity, and drives outcomes with a bias for action.
- Seeks challenges, enjoys finding solutions, and tackles complex issues for maximum impact.
- Prioritizes team success and builds trust through constructive challenge, directness, and clarity.
- Brings a growth mindset, invests in self-development, and actively seeks feedback to improve.
- Balances speed and quality in a high-growth environment with a strong focus on execution.
What We’re Looking for (Minimum Qualifications)
- 5–7 years in technical roles such as Systems Engineering, Technical Marketing, Solutions Architecture, Technical Account Management, or Product Management.
- Deep understanding of ZTNA architectures, including application connectors, identity-aware proxying, micro-segmentation, and least-privilege access.
- Hands-on experience with SASE/SSE platforms, VPNs, SD-WAN, and network security products, and the ability to explain how ZPA replaces legacy approaches.
- Proven success creating technical collateral (whitepapers, deployment guides, competitive analyses, technical blog posts) used by field teams, and translating complex architectures into clear content.
- Experience delivering live product demos and technical training for internal sales teams, channel partners, and customers.
What Will Make You Stand Out (Preferred Qualifications)
- Hands-on experience with Zscaler Private Access or comparable ZTNA platforms.
- Experience with AWS/Azure/GCP, VPC/VNet, Okta/Azure AD (Entra ID), endpoint management, and Docker/Kubernetes with modern app architectures.
- Knowledge Python/Bash/JavaScript skills for prototypes/PoCs/tooling, plus GenAI + prompt engineering for content, research, and testing.
#LI-Hybrid #LI-NT1
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
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
Most backend roles ask you to ship endpoints and migrations. This one asks you to ship those and extend the platform that lets the rest of the engineering team - and the AI agents working alongside them - ship them too. That platform already exists. Shared conventions, the skills library, safe contribution zones, spec-to-endpoint workflows, AI-agent infrastructure powering Saige and Explore - all live, all in production, all being used today. You'll own its next chapter: deepening it, scaling it, and raising the ceiling on what each engineer can do without re-deriving the same patterns.
If the most interesting question in your career right now is "how do I build leverage for a team, not just output for myself?" - keep reading.
What will you own
You own the backend - not just the code you write, but the system that lets everyone around you contribute to it. That means shipping production Rails services, designing APIs other teams build against, and owning the data layer end to end. And it means extending the workflows, conventions, and guardrails that let QEs generate test scaffolds independently, PMs and analysts ship config and feature-flag changes safely, and AI agents operate inside the codebase reliably.
The measure of success here is not your personal output. It is how much the team around you can do because of what you built.
Concretely, that looks like:
- Shared AI conventions that keep tooling output consistent across the codebase - for backend code generation, schema changes, and migrations - whoever or whatever is driving
- A backend skills library that encodes Rails patterns, service contracts, domain models, and query patterns into workflows anyone on the team can invoke
- Safe zones and guardrails that let PMs and analysts ship config changes, feature flags, and scoped data changes without creating engineering cleanup
- Spec-to-endpoint and ticket-to-migration workflows that compress the path from intent to working backend code
- AI-agent backend infrastructure - runtimes, tool-calling layers, retrieval pipelines, evals - that powers Saige, Explore, and what comes next, and scales with each new feature
- A feedback loop with engineers, QEs, and PMs building against the platform every day - you hear where things break and you fix them
What success looks like
- 30 days. You've mapped the existing platform, the conventions, the skills library, and the AI workflows the team is already using. You know where they're sharpest, where they're starting to bend under load, and where the next wave of investment should go.
- 90 days. You've shipped meaningful additions to the skills library, tightened conventions where they were drifting, and closed gaps the team has been working around. Other engineers are reaching for your work instead of writing from scratch.
- 6 months. The backend platform is materially more capable than when you joined. Saige and Explore's AI surfaces hold up under heavier production load because of infrastructure decisions you made. PMs and analysts are shipping more inside safe zones, with less cleanup. The engineers and agents building against the platform move faster - and they know why.
About You
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience
Experience
- 5+ years of backend engineering experience on production systems
- Strong production Rails experience - services you've owned and shipped, not contributed to at the margins
- Real fluency with PostgreSQL or MySQL, including query optimization at scale
- Experience designing and maintaining RESTful APIs that other teams build against
- Daily fluency with AI-assisted coding tools (Claude Code, Cursor, Codex, or similar) - and a track record of making them work consistently for other people, not just yourself
- The instinct to treat a non-engineer touching your platform as a capability to design for, not a risk to manage
Strong nice-to-haves
- Hands-on AI/LLM backend work - retrieval pipelines, agent runtimes, tool-calling, evals, prompt versioning
- Developer experience or platform engineering background - internal SDKs, shared libraries, opinionated documentation
- Cloud experience (AWS, Azure, GCP) and serious testing discipline (RSpec, Capybara)
- Evidence of cross-functional thinking - something you built that made a non-engineer's life easier
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
Principal AI Systems Engineer
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About Us: Founded in 1972, Atari is one of the world’s most iconic consumer brands and a pioneer in the video game industry, known for creating classics like Pong, Asteroids, and Centipede. Today, Atari Inc. continues to build on its legacy by developing games, hardware, and experiences that honor the past while driving innovation for the future.
Over the past two years, we've been building Atari India, a growing team that plays a critical role in supporting our global operations. We're proud of the team we've assembled so far, and we’re just getting started. As part of a lean, high-impact organization, the team in India works closely with colleagues in North America and Europe on projects that move the company forward. Whether you're helping launch a new game, keeping our infrastructure secure, or supporting day-to-day operations, your work here matters. Join us as we continue to grow Atari India and build the future of a legendary brand.
Position: Principal AI Systems Engineer
Experience: 8+ Years
Location: Netaji Subhash Place, Pitampura, New Delhi
Employment Type: Full-Time (Hybrid)
Reports to: Senior Director of Technology, India
About the Role
Architect, build, and own AI systems that automate expert-intensive technical workflows end-to end — from CLI frameworks, MCP servers, and agent tooling through to production deployment, business outcome tracking, and continuous improvement. You solve real business problems with AI, ensure solutions are fully implemented and adopted, and measure whether they are actually working.
Responsibilities
System Architecture
- Own end-to-end architecture of AI automation systems: workflow decomposition, component communication, human checkpoints, and failure behaviour
- Design and build internal CLI frameworks, reusable libraries, and agent scaffolding
- Author and maintain agent instruction files (SKILL.md, CLAUDE.md, system prompts) and MCP server definitions
- Configure Claude Code and Codex CLI environments: MCP wiring, tool permissions, slash commands, and engineering standards
- Evaluate and document architectural trade-offs across reliability, latency, cost, and maintainability
Pipeline Development
- Build production-grade AI pipelines in Python: orchestration, structured prompting, context assembly, schema validation, and retry strategies
- Integrate AI systems with external tooling — version control, build pipelines, SDKs, compliance databases, internal APIs
- Design context assembly: how domain knowledge, runtime state, retrieved documents, and tool outputs compose into the precise input each pipeline stage needs
- Build and operate multi-agent systems: orchestrator-worker patterns, agent memory, structured handoffs, and conflict resolution
Prompt & Context Engineering
- Design, version, and maintain system prompts and agent instructions as first-class engineering artefacts
- Own output schema design and prompt regression testing with a maintained ground-truth eval set
- Engineer context windows with precision — balancing accuracy, token cost, and latency through compression and selective retrieval
- Partner with the RAG Engineer to define retrieval requirements — what knowledge is needed, under what conditions, and at what granularity
- Build and maintain structured runtime knowledge assets: curated document corpora, rule sets, decision trees, and validation reference libraries
- Work with domain experts to translate specialist knowledge into agent behaviour: decision logic, edge cases, and failure modes
Evaluation & Reliability
- Build and own the evaluation framework: test suites, regression benchmarks, LLM-as-judge pipelines, and per-stage quality metrics
- Implement production monitoring using LangFuse, Arize, or equivalent — latency, token usage, success rates, and output quality drift
- Run structured failure analysis and implement targeted fixes across context assembly, orchestration, and tool integration
- Define automation rate as a first-class metric and report on business effectiveness of deployed systems
Governance & Technical Leadership
- Implement full audit trails — inputs, tools called, outputs, and human review triggers
- Enforce versioning of all agent instructions and system prompts as engineered artefacts with controlled rollout
- Set the technical standard for AI development across the organization — architecture patterns, eval practices, and quality gates
- Collaborate with engineering, product, and domain teams; engage leadership on roadmap priorities and technical risk
Requirements
- Proven track record of building production AI automation systems from scratch — end-to-end from architecture through deployment
- Hands-on expertise with Claude Code, Codex CLI, Cursor, or equivalent — including MCP server configuration and agent instruction authoring
- Experience designing and deploying MCP servers and custom tools: tool schema, authentication, and permission boundaries
- Experience building internal CLI frameworks, agent scaffolding, and reusable libraries that others build on
- Experience creating internal tooling and automation that measurably improved engineering team efficiency — reducing manual processes and accelerating workflows
- Experience working with data scientists and domain experts to implement AI solutions that measurably improved team productivity
- Deep prompt and context engineering: system prompts, few-shot design, chain-of-thought, token budget management, and prompt versioning
- Proficiency with LLM orchestration frameworks — LangChain, LangGraph, LlamaIndex, AutoGen, or equivalent
- Experience building AI evaluation frameworks: test suites, regression benchmarks, LLM-as-judge, and production quality monitoring
- Production Python engineering: modular, testable, well-logged code with proper error handling
- Cloud platform experience (AWS, Azure, or GCP): deploying and monitoring AI workloads with containerisation
- Experience integrating AI systems with external APIs — tool definition, permission management, and failure handling
- Experience defining and tracking AI productivity metrics: automation rate, time-to-completion, and human intervention rate
Bonus Points
- Experience in gaming: game development pipelines, Unity/Unreal engine architectures, or platform certification processes
- Familiarity with game engine scripting, asset pipelines, or platform SDKs (Xbox GDK, PlayStation SDK, or similar)
Shift Timings: 9AM TO 6PM IST
Ready to apply?
Apply to Atari, Inc.
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 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
Senior Software Engineer (AI Applications)
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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:
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
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