Benefits:

• Hybrid working model

• Family friendly policies

• Private healthcare

• Stock options

• Variable pay schemes

Benefits:

• Hybrid working model

• Family friendly policies

• Private healthcare

• Stock options

• Variable pay schemes

Benefits:

• Competitive Salary and Equity

• Family Health Insurance

• Investment in Growth

• Prime Location and Top-Notch Amenities

Experience Requirements:

• 8+ years of experience in designing and developing backend systems

Other Requirements:

• Expertise in Java and Spring (or equivalent) frameworks, with a strong understanding of design patterns, object-oriented principles, and application architecture.

• Strong knowledge of databases—both SQL and NoSQL—experience in optimizing queries, designing schemas, and scaling database systems.

• Experience with distributed systems and familiarity with key technologies like caching, queuing systems, and search technologies.

• Excellent knowledge of cloud architectures, especially AWS or GCP

• Proven leadership experience in guiding engineering teams, leading complex projects, and delivering large-scale solutions.

• Deep expertise in software engineering best practices, including design patterns, testing, CI/CD pipelines, and microservices architecture.

• Strong collaboration and communication skills, capable of working across teams and departments to deliver solutions aligned with business goals

Responsibilities:

• Be responsible for designing large-scale, distributed systems that are highly available, scalable, and secure.

• Develop strategies for system optimization, performance tuning, and the evolution of existing architecture.

• Contribute to hiring, mentoring, and guiding engineers at all levels.

• Take ownership of the entire software development lifecycle, from requirements gathering and design to implementation, testing, deployment, and monitoring.

• Establish and maintain coding standards and practices, ensuring the quality, reliability, and maintainability of codebases. You will lead code reviews and drive continuous improvement in code quality. Work closely with cross-functional teams, including Product Managers, ML Engineers, Front-end Engineers, and QA Engineers, to design and deliver complex features and systems. Research, prototype, and implement new technologies and approaches to solve complex technical challenges. Serve as a technical lead in incident management and response, ensuring the quick resolution of critical production issues and preventing recurrence through systematic root cause analysis

Benefits:

• Competitive Salary and Equity

• Family Health Insurance

• Investment in Growth

• Prime Location and Top-Notch Amenities

Experience Requirements:

• 3+ years of total experience as an Account Executive in SaaS/Tech/Product Sales Roles focused on selling/closure

Other Requirements:

• Flawless communication skills in English, both written and oral

• Strong business and commercial fundamentals

• Self-learner and self-starter

• First-principles thinking with an ability to see below the surface and answer the ‘why’

• Basic understanding of SaaS space - business model, prospecting, and account management

Responsibilities:

• Account Management

• Prospect Discoveries and Deep-Dives

• Product Demos and Trial Management

• Cross-Functional Collaboration

Benefits:

• Competitive compensation

• Work remotely from anywhere

• Opportunities to move laterally within a team and grow rapidly

• Paid time off and flexible leave policy

• A "no boss" culture that empowers you to take ownership and initiative for results, with overcommunication, candid feedback and a results-driven culture. Take a look at our [culture document](https://www.notion.so/fireflies/Culture-Employee-Value-Proposition-780ae904ede24bc792c088c4495f599f). You're data-driven and customer-focused. You value fast & incremental engineering cycles. You maintain design excellence and minimize complexity. You measure your results & automate when possible. You get 10% better at something every week. You have an internal compass and take accountability & initiative. We value overcommunication, candid feedback and a results-driven culture. Flexible working hours to fit your lifestyle. LGBTQ+ friendly. Fun international offsite to connect and recharge. Tech reimbursements to support your work

Experience Requirements:

• Meaningful time spent as a Senior engineer or higher

• Passion for productivity tools and supporting power users

• You have the raw intellectual horsepower and the ability to learn quickly

• You contribute to open source (share your GitHub)

• You have experience working on apps that have supported 10,000+ concurrent users

Other Requirements:

• You can design and build scalable infrastructure

• You have experience with real-time apps that use something like OT or CRDT ([ref](https://www.figma.com/blog/how-figmas-multiplayer-technology-works/))

• You understand sound architecture principles and can build end-to-end

Responsibilities:

• You'll be expected to work directly on our product.

• We expect you to write well-architected, tested, secure, and scalable code as part of a team of a few other engineers.

• You'll have a lot of autonomy over your schedule and you'll work together with product managers, designers, and front-end engineers to solve common goals

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Linguistics, or a related field

Experience Requirements:

• 2+ years of experience in Data Science, focusing on NLP, prompt engineering, or deep learning

Other Requirements:

• Proficiency in Python and familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face)

• Strong understanding of NLP techniques and machine learning principles, including sentiment analysis, word embedding, text classification, and Transformer models (e.g., GPT, BERT)

• Experience with developing, optimizing, and evaluating prompts to improve AI model responses

• Experience with large language models (e.g., GPT-4, Llama3) and their applications in customer service or other domains

• Knowledge of data visualization tools and techniques to communicate complex data insights effectively

• Background in linguistics or computational linguistics

• Experience with agile development methodologies and big data platforms like Hadoop or Spark

• Excellent analytical, problem-solving, and communication skills

• Ability to work collaboratively in a team environment, manage multiple projects simultaneously, and document complex processes effectively

• Self-motivated with a passion for continuous learning and innovation in AI

Responsibilities:

• Prompt Engineering and Development

• Model Design and Implementation

• Benchmarking and Evaluation

• Collaboration and Communication

• Documentation and Research

Education Requirements:

• B.Tech/M.Tech in Computer Science or related fields

Experience Requirements:

• 7+ years’ Experience preferred

• 4+ years of people management experience

• 2+ years of recent full-stack development experience

Other Requirements:

• Extensive experience running teams in an agile environment

• Deep experience with the full software development life cycle

• AWS Aurora, Kafka, and MWAA experience required

• Proficient with mainstream fullstack technologies such as Java, Spring boot, RDBMS, NoSQL, ElasticSearch, Node.js, JS frameworks (React, Vue.js etc)

• Strong experience with AWS cloud technologies

• Strong Analytical skills – can ask the right questions, analyze data, concludes by making appropriate assumptions

• Organization skills – demonstrated ability to work independently to make complex investigations

• Working experience on asynchronous messaging systems like Kafka

• Strong ability in architectural design and discussion

• Proven ability to manage multiple, competing for priorities simultaneously

• Excellent communication skills to convey technical insights to a non-technical audience

Responsibilities:

• Planning, design and execution of SOA backend platforms. Mostly around REST based Web

• Build frameworks using JAVA (Spark,Spring, ORM)

• High level and Low level design of the highly scalable components

• Track defects and works with business owners and users to triage bugs and manage a backlog

• Taking care of Nonfunctional requirements like Scale/ High Availability/Performance/Security

Education Requirements:

• Bachelor’s or Master’s degree in Applied Mathematics, Statistics, Computer Science or another quantitative field

Experience Requirements:

• 2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models

Other Requirements:

• Strong programming skills in Python or other relevant programming languages

• Experience with machine learning libraries such as TensorFlow, PyTorch, or Keras

• Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.

• Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques

• Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.

• Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies

• Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation

• Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development

• Strong problem-solving and analytical skills

• Excellent communication and collaboration abilities

• Optional: Experience with big data platforms such as Hadoop or Spark

Responsibilities:

• Design and implement machine learning algorithms for NLP/LLMs or deep learning models at scale to meet business requirements

• Analyze large datasets and develop models that can be used to make predictions, generate responses or summaries, identify patterns etc.

• Develop and improve existing models to increase accuracy, efficiency, and effectiveness

• Work closely with cross-functional teams to identify and prioritize business problems, and develop solutions to address them

• Communicate findings and insights to stakeholders in a clear and concise manner

Experience Requirements:

• 3+ years of experience as a data scientist, preferably in a product development environment, with a focus on building NLP/LLMs or Deep Learning models

Other Requirements:

• Strong programming skills in Python or other relevant programming languages

• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)

• Deep understanding of statistical analysis, probability theory, and experimental design

• Experience with LLMs, deep learning, NLP and chatbot development

• Excellent communication skills, including the ability to explain complex concepts to technical and non-technical stakeholders

• Experience working with a variety of statistical models, including logistic regression, clustering, classification, SVMs, neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc.

• Expertise in NLP techniques, including sentiment analysis, word embedding, part-of-speech (POS) tagging, topic modeling, text classification, machine translation, speech recognition, named entity recognition (NER), natural language generation (NLG), and other related techniques

• Experience with various deep learning techniques, including CNNs and RNNs, and a strong understanding of building and training these models for different applications. Familiarity with LMs and LLMs such as GPT, BERT, and Transformer models is highly desirable.

• Strong ability to rapidly comprehend and implement research papers related to AI, as well as remain informed of the latest advancements in NLP technologies

• Deep knowledge and experience in structured and unstructured data Information Extraction, Knowledge Information Retrieval, and Knowledge Representation

• Self-motivated and driven to satisfy intellectual curiosity through the pursuit of continuous learning and skill development

• Strong problem-solving and analytical skills

• Optional: Experience with large-scale data processing technologies (e.g., Hadoop, Spark) and distributed computing systems

Responsibilities:

• Design, develop and deploy machine learning models and algorithms for NLP/LLMs or deep learning models at scale to solve complex business problems

• Work with large datasets, perform data analysis and develop data pipelines to support model development

• Collaborate with Product & Engineering teams to integrate machine learning solutions into products and services

• Conduct experiments, test hypotheses, and perform statistical analysis to validate models and drive improvements

• Communicate findings and insights to stakeholders in a clear and concise manner

Experience Requirements:

• At least 2 years in DevOps or a related field

Other Requirements:

• Kubernetes (RBAC, cluster administration, Helm)

• CI/CD tools such as Jenkins, ArgoCD, or Spinnaker

• Service mesh solutions like Istio, Linkerd, or similar

• Proficiency in scripting languages (Python, Ruby, Golang)

• Familiarity with cloud platforms (AWS, GCP, Azure)

• Strong understanding of system design, networking, and infrastructure management

• Knowledge and experience in chaos engineering tools like Chaos Monkey, LitmusChaos, or Gremlin

Responsibilities:

• Kubernetes Management

• CI/CD Pipeline Development

• Helm Templates

• Service Mesh Implementation

• Scripting and Automation

Experience Requirements:

• 5-6 years of experience in both administrative roles and technical support, specializing in Zendesk and API integrations

Other Requirements:

• Proficient in Java and HTML, enhancing technical capabilities for comprehensive support

• Proven track record of positively impacting organizations through the development and implementation of standard operating practices

• Familiarity with start-up environments, demonstrating adaptability to dynamic work settings

• Strong ability to navigate and excel in fast-paced and evolving work environments, with a specific background in technical support roles

• Deep understanding of tools like Postman/Datadog/Workato

• Good knowledge of JavaScript with the ability to identify code-level issues and rectify

• Ability to train New Hires in the team on Process, Product and Technology

• Effectively mentors multiple L1s in the context of support

Responsibilities:

• In Depth understanding of Netomi systems - AI Studio, Backend Architecture, Agent Desk Integrations

• Understanding of business requirements for our different customers and how they can be solved through AI Studio

• Participate in the software development lifecycle to learn the new system/feature

• Responsible for resolving the ticket queue through Zendesk

• Coordinating and leading troubleshooting through incident management

Education Requirements:

• Bachelor’s degree in Business, Computer Science, Engineering, or a related field. MBA is a plus

Experience Requirements:

• 4-6 years of product management experience

Other Requirements:

• Strong experience working with large enterprise clients to manage complex requirements and deliver tailored solutions

• Proven ability to lead cross-functional teams, driving LLM-powered products from ideation to delivery

• Strong project management skills, ideally with experience in agile development

• Excellent communication and presentation skills, with the ability to articulate technical concepts clearly and influence stakeholders

• Exceptional analytical and problem-solving skills, with a passion for delivering innovation

• Experience with AI, machine learning, or chatbot technologies

• Background in innovation management, with a proven passion for developing and experimenting with new ideas

• Ability to manage multiple projects simultaneously in a fast-paced environment

• Deep knowledge of Large Language Models (LLMs), natural language processing (NLP), and related AI technologies

• Hands-on experience with LLM platforms (e.g., OpenAI, GPT, BERT) and familiarity with applying these technologies in enterprise solutions

• Strong understanding of SaaS platforms, with an emphasis on AI-driven product enhancements

Responsibilities:

• Client Collaboration

• Product Strategy

• Feature Development (LLMs)

• Internal Projects

• Project Management

Experience Requirements:

• 3+ years of demonstrated experience in frontend development

Other Requirements:

• Professional experience with VueJS or another modern JavaScript web framework (React, Angular, etc)

• Experience with writing automated tests (e.g. Jest, Karma, Jasmine, Mocha)

• Experience using Git, Github, JIRA in a professional/workplace environment

• A solid understanding of core web and browser concepts (e.g. how the browser parses and constructs a web page)

• A solid understanding of semantic HTML, CSS, and core JavaScript concepts

• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational problems and propose thorough iterative solutions

• Experience with performance and optimisation problems and a demonstrated ability to both diagnose and prevent these problems

• Comfort working in a highly agile software development process

• Positive and solution-oriented mindset

• Effective communication skills: Regularly achieve consensus with peers, collaboration, and clear status updates

• An inclination towards communication, inclusion, and visibility

• Self-motivated and self-managing efficiency, with great organisational skills

• Demonstrated ability to work closely with other parts of the organisation

Responsibilities:

• Ownership of key UI modules

• Own front-end build and test systems

• Ensure the technical feasibility of UI/UX designs and implement them

• Translating designs and wireframes into high-quality code

• Building reusable components and front-end libraries for future use

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field

Experience Requirements:

• Proven 5+ years of experience as an AI Analyst or similar role with a focus on data analytics and AI integration

Other Requirements:

• Experience in developing and deploying generative AI models is an advantage

• Good understanding of Prompt writing and evaluation

• Proficiency in Python and relevant AI libraries/frameworks (e.g., TensorFlow, PyTorch)

• Strong understanding of machine learning algorithms and natural language processing

• Solid experience with SQL for data manipulation and analysis

• Strong analytical and problem-solving abilities to derive actionable insights from complex datasets

• Excellent communication skills to translate technical concepts for varied audiences

• Proven ability to work effectively in cross-functional teams, promoting innovation and continuous improvement

• Capability to thrive in a fast-paced, dynamic environment while proactively identifying AI-driven improvements in chatbot functionalities

Responsibilities:

• Requirement Analysis

• Data Exploration and Analysis

• Feasibility Assessment

• Model Selection and Design

• Implementation and Deployment

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Experience Requirements:

• Proven experience (7-9 years) as a Software Development Engineer in Test (SDET) or similar role, with a strong focus on test automation using Java

Other Requirements:

• Proficiency in Java programming language and experience with Java-based automation frameworks such as JUnit, TestNG, Selenium WebDriver, and Rest-Assured

• Minimum 2-3 years exp in performance testing and perf tools, such as JMeter, Locust, or k6, is required

• Solid understanding of software testing principles, methodologies, and best practices

• Practical experience in configuring and utilizing continuous integration/continuous deployment (CI/CD) pipelines and tools such as Jenkins

• Experience with Agile development methodologies and working in Agile teams

• Excellent problem-solving skills and attention to detail

• Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams

• Familiarity with security testing using open-source tools is an added advantage

Responsibilities:

• Lead the design, development, and implementation of automated test frameworks using Java and related technologies

• Create robust, scalable, and maintainable automated test suites to validate the functionality, performance, and reliability of our software products

• Collaborate with software engineers to ensure testability of code and incorporate automated tests into the continuous integration/continuous deployment (CI/CD) pipeline

• Mentor and provide technical guidance to junior members of the testing team, fostering a culture of quality and excellence

• Participate in requirements analysis and contribute to the creation of comprehensive test plans and test cases