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Manager – Sales & Business Development
Transform routine CT and MRI scans into actionable health insights and structured reports to improve diagnostic accuracy and streamline clinical workflows.
Benefits:
Innovation-driven environment
Continuous learning opportunities
Collaborative team culture
Impactful work that saves lives
Experience Requirements:
5 - 7 years of experience in medical device, imaging, or healthtech enterprise sales
Proven track record of selling to hospitals and diagnostic centres
Other Requirements:
Familiarity with PACS/DICOM workflows
Familiarity with radiology reporting and AI-based imaging tools
Immediate joiner preferred
Responsibilities:
Lead growth across South India
Primary focus on Hyderabad and Bangalore regions
Represent Biocliq’s suite of innovative medical imaging technologies
Engage with hospitals, diagnostic centres, and surgical facilities
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Software Engineer (all genders)
Build adaptive AI agent memory and reliable knowledge graphs that learn from feedback to replace standard RAG with high-accuracy, reasoning-driven retrieval.
Benefits:
Unlimited contract with 28 vacation days
Flexible, hybrid work and flex hours
Work from abroad for up to 40 days per year
Virtual Shares Program
Company pension scheme
Experience Requirements:
Practical experience in modern software development (infrastructure, observability, testing)
Supported large-scale user-facing software systems in cloud environments
Experience with Kotlin / SpringBoot, Typescript / React, Kubernetes, PostgreSQL
Knowledge of monitoring and alerting practices for production systems
Other Requirements:
Willingness to travel to construction sites in the DACH region whenever needed
Responsibilities:
Designing, building, testing and operating software solutions for building construction use cases
Working alongside R&D department on an autonomous construction initiative
Managing complex software deployments
Acting as a bridge between digital product delivery and physical construction activities
Bringing a Site Reliability Engineering (SRE) mindset to improve software uptime
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Principal Engineer
Build adaptive AI agent memory and reliable knowledge graphs that learn from feedback to replace standard RAG with high-accuracy, reasoning-driven retrieval.
Benefits:
Up to 150 000 EUR + Equity
Company sponsored meals
Trips to San Francisco
Fetch breaks with the office dog
Experience Requirements:
Principal-level ownership of a high-adoption SDK / developer platform / core library
Deep Python skills (packaging, typing, testing, performance, clean APIs)
Experience with production systems
Hands-on experience with LLMs
Other Requirements:
Strong taste for DX and high standards for stability and maintainability
Bonus: open-source leadership, agent/memory/retrieval systems experience
Responsibilities:
SDK architecture, API design, and roadmap
Release engineering: versioning, compatibility, CI/CD, testing, benchmarks
Performance, reliability, observability, and production readiness
Developer experience: docs, examples, reference implementations
Open-source stewardship
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Software Engineer, Platform
Build adaptive AI agent memory and reliable knowledge graphs that learn from feedback to replace standard RAG with high-accuracy, reasoning-driven retrieval.
Benefits:
Competitive compensation
Welcoming atmosphere
Commitment to an exceptional asynchronous work culture
Autonomy fostering focus and creativity
Opportunity to have a significant impact in a revolutionary industry
Experience Requirements:
Proven experience in backend development: TS/Node (required)
Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
Experience with Docker and containerized deployments (preferred)
Proficiency in deploying high availability applications on Kubernetes (preferred)
Other Requirements:
Strategic thinking and passion for making product decisions
Obsession with winning and fast delivery
Responsibilities:
Design, develop, and maintain robust APIs (TTS, Payment, Subscription, Auth)
Oversee the full backend API landscape, enhancing for performance
Collaborate on B2B solutions and enterprise client integration
Align backend architecture with overall product strategy and user experience
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Talents wanted (all genders)
Build adaptive AI agent memory and reliable knowledge graphs that learn from feedback to replace standard RAG with high-accuracy, reasoning-driven retrieval.
Benefits:
Transparency of business strategies
Working in Berlin office including 2 home office days per week
Autonomy balanced by responsibility
Professional educational opportunities
German language courses and public transport included
Experience Requirements:
Expertise across disciplines suitable for machine learning and data science software products
Other Requirements:
Acceptance of unsolicited applications if experiences do not perfectly align
Responsibilities:
Developing artificial intelligence software for process optimization in steel mills
Applying machine learning (image/signal processing, supervised/unsupervised modeling)
Helping to further develop industry leading solutions across disciplines
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Product Solutioning Expert
Optimize e-commerce post-purchase journeys with AI-powered tracking pages, intelligent returns management, and personalized shipping updates to boost loyalty.
Benefits:
Dynamic work environment with opportunities for career growth
Collaboration with industry leaders
Competitive salary and benefits package
Education Requirements:
Bachelor’s degree in Business, Computer Science, Engineering, or a related field
Experience Requirements:
4+ Years
3-5 years of experience in product management or product solutioning
Other Requirements:
Strong understanding of logistics and supply chain management
Proven track record of creating effective product solutions
Excellent communication and interpersonal skills
Experience with product lifecycle management and prototyping tools
Responsibilities:
Develop and recommend custom product solutions
Contribute to product roadmaps by identifying potential features
Work closely with Sales, Product, and Engineering teams
Engage with key customers to understand unique needs
Assist in designing prototypes and leading the solution testing process
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Senior Data Platform Engineer
Optimize e-commerce post-purchase journeys with AI-powered tracking pages, intelligent returns management, and personalized shipping updates to boost loyalty.
Benefits:
Health insurance
Generous vacation policy
Learning and development budget
Team events and company offsites
Company laptop and Devices
Experience Requirements:
5+ YOE
4-6+ years of experience in data engineering, data platform, or similar roles
Other Requirements:
Strong expertise with Databricks: Spark, Delta Lake
Proficiency in Python, SQL
Familiarity with cloud platforms (AWS, Azure, GCP)
Understanding of data governance and security
Ability to write clean, maintainable code
Responsibilities:
Design and build scalable data pipelines on Databricks
Implement and manage data architecture
Optimize data pipelines for performance, cost, and reliability
Collaborate with data science, product, and engineering teams
Provide technical leadership and mentor junior engineers
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Data Scientist
Deliver human-like AI conversations and automated resolutions for contact centers to lower costs and improve customer satisfaction across voice, email, and chat.
Benefits:
Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions
Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises.
A culture comprised of diverse, global teams who have a passion for collaboration, creativity, and excellence
A competitive salary and scope for further advancement.
A great environment that promotes open feedback and a flat hierarchy
Education Requirements:
Strong understanding of fundamentals of Computer Science.
Experience Requirements:
Candidates should have 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science.
Hands-on experience in developing & running machine learning applications in production.
Other Requirements:
Strong skills in Python.
Familiarity with training and serving large language models in production.
Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining.
Responsibilities:
Responsible for design and development of deep learning & LLM based models on unstructured and Structured Data.
Focus on not just on designing the algorithm but also on delivering it at scale.
Build and deploy deep learning techniques in production.
Design and develop software modules that perform data ingest, data transform, and analytics tasks.
Deliver customized solutions in a timely manner.
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Conversation Designer
Deliver human-like AI conversations and automated resolutions for contact centers to lower costs and improve customer satisfaction across voice, email, and chat.
Benefits:
Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions
Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises.
A culture comprised of diverse, global teams who have a passion for collaboration, creativity, and excellence
A competitive salary and scope for further advancement.
A great environment that promotes open feedback and a flat hierarchy
Experience Requirements:
2-3 years of experience in conversation design, UX writing, or related fields with hands-on experience in chatbot or conversational AI projects.
Experience with conversation design tools (e.g., Voiceflow, Botmock, Dialogflow, or similar platforms).
Other Requirements:
Experience with CSM responsibilities will be an added advantage
Strong writing and communication skills
Solid understanding of natural language processing (NLP) and conversational AI technologies.
Ability to collaborate effectively with technical and non-technical teams.
A user-first mindset with a focus on designing seamless and natural experiences.
Strong problem-solving skills with the ability to adapt to changing project requirements.
A passion for conversational AI and delivering exceptional user experiences.
Responsibilities:
Design Conversational Flows: Create intuitive, engaging, and user-friendly conversation scripts for chatbots, virtual assistants, and other AI-driven interfaces.
User-Centric Design: Focus on understanding user needs and behaviors to craft conversations that are natural, empathetic, and aligned with business goals.
Collaborate with Cross-Functional Teams: Work closely with developers, product managers, and data scientists to ensure the implementation of designs.
Prototype and Test: Build conversation prototypes, conduct usability testing, and iterate on designs based on user feedback and analytics.
Maintain Consistency: Ensure consistency in tone, language, and brand voice across different channels and touchpoints.
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API Integration - Trainee
Deliver human-like AI conversations and automated resolutions for contact centers to lower costs and improve customer satisfaction across voice, email, and chat.
Benefits:
A culture comprised of diverse, global teams who have a passion for collaboration and client service
The ability to have an impact on a fast-growing startup and innovative and state-of-the-art AI products and solutions
A competitive salary and scope for further advancement
A great environment that promotes open feedback and a flat hierarch, working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun
Education Requirements:
Bachelor's degree in computer science, information science, or similar.
Experience Requirements:
Basic knowledge of Node.js fundamentals.
Eagerness to learn lots of new technologies.
Other Requirements:
Excellent communication skills, both written and verbal.
Exceptional analytical and problem-solving aptitude.
Responsibilities:
Work with the integration teams at internal product & engineering teams.
Attend calls and translate conceptual system requirements into technical data and integration requirements.
Collaborate with team members to assist in the definition of project scope, deliverables, timelines, and develop standards and processes
Track and communicate the status of personal deliverables throughout the project lifecycle.
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React / React Native Developer (3–6 Years Experience)
Enhance the automotive buying journey with immersive 3D configurators, AR, and AI-driven dealership agents that boost customer engagement and sales conversions.
Benefits:
Work on cutting-edge technologies at scale
Relocation support
Health benefits
Performance bonuses
Experience Requirements:
3–6 years of hands-on experience with React Native and React
Other Requirements:
Strong command over JavaScript and TypeScript
Proficient in iOS development and deployment
Solid experience with Next.js and SSR
Experience with Stripe SDK and RevenueCat integration
Knowledge of modern state management (Redux, Zustand)
Responsibilities:
Build and maintain mobile applications using React Native
Develop responsive web applications using React and Next.js
Integrate third-party SDKs and APIs
Collaborate with designers and product managers
Optimize applications for speed, scalability, and responsiveness
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Backend Engineer GoLang/Python
Streamline enterprise QA with no-code, AI-powered test automation that covers 200+ technologies from web to mainframe for faster, high-quality software releases.
Benefits:
Collaborative and growth-oriented work environment
Competitive compensation and benefits
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Experience Requirements:
8–10 years of backend development experience in SaaS or large-scale applications
Other Requirements:
Proficiency in GoLang/Python
Strong expertise in MongoDB and Redis
Experience deploying workloads on Azure
Familiarity with CI/CD, Docker, and Kubernetes
Responsibilities:
Develop microservices and user-deployable logic in GoLang/Python
Implement robust API security with OAuth2 and JWT
Design efficient schemas, indexes, and queries in MongoDB
Deploy and manage services on Azure App Services and AKS
Design and implement event-driven and microservices architectures
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L1 Technical Support Engineer
Streamline enterprise QA with no-code, AI-powered test automation that covers 200+ technologies from web to mainframe for faster, high-quality software releases.
Education Requirements:
Bachelor’s degree in Engineering, Computer Science, or any technical field
Experience Requirements:
2 to 4 years of experience in technical support / QA automation/software support
Other Requirements:
Basic understanding of test automation concepts
Ability to read simple logs
Comfort with Linux/Windows command line
Strong communication and problem-solving skills
Ability to work in shifts if required
Responsibilities:
Act as the first point of contact via email, chat, and ticketing tools
Provide step-by-step assistance on basic product features and configuration
Troubleshoot fundamental issues related to test execution and connectivity
Log every issue with complete details in ticketing tools
Maintain SLA compliance for First Response Time and Initial Triage
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Administrative Officer
Empower your organization with human-centric AI through tailored roadmaps, ethical machine learning integration, and data analytics designed for social impact.
Benefits:
Human Centric Business
Competitive Work
Balanced Work Environment
Innovative Tech at Hand
Guidance and Mentoring
Education Requirements:
Masters degree in Business Administration, Business Computer, or Management Information Systems
Experience Requirements:
Prior experience in an administrative or support role is advantageous
Experience in the AI sector and Education Sector
Other Requirements:
Strong General Administration and Administrative Assistance skills
Excellent Communication and Customer Service abilities
Proficiency in Organization Skills and time management
Attention to detail, problem-solving skills, and multitasking capabilities
Ability to work independently and efficiently in a remote environment
Responsibilities:
Manage daily operations
Schedule coordination
Communication management
Providing exceptional customer service
Organizing and maintaining records
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Senior Machine Learning Scientist
Resolve complex customer queries instantly and automate support workflows using an AI-first platform designed for startups and global enterprises alike.
Benefits:
Competitive salary, annual bonus and equity
Regular compensation reviews
Generous paid time off above statutory minimum
Generous family leave (maternity, paternity)
Hybrid working
Education Requirements:
Typically have advanced education in ML or related field (e.g. MSc)
PhD or other experience in a research environment
Experience Requirements:
3-5 years applied ML experience
Track record shipping ML products
Other Requirements:
Broad applied machine learning knowledge
Practical stats knowledge
Intermediate programming skills
Strong communication skills
Comfort with ambiguity
Responsibilities:
Identify areas where ML can create value for our customers
Identify the right ML framing of product problems
Working with teammates and Product and Design stakeholders
Conduct exploratory data analysis and research
Research and identify the right algorithms and tools
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Senior Product Engineer, AI
Resolve complex customer queries instantly and automate support workflows using an AI-first platform designed for startups and global enterprises alike.
Benefits:
Competitive salary, annual bonus and equity
Regular compensation reviews
Generous paid time off above statutory minimum
Hybrid working
MacBooks standard
Education Requirements:
BSc in Computer Science, Maths or Statistics or related discipline
Experience Requirements:
5+ years of experience shipping high-quality products
Previous experience in data analytics or statistical role (bonus)
Other Requirements:
Deep knowledge of a high-level programming language
Bias towards progress over perfection
Strong willingness to fight for good outcomes
Responsibilities:
Build the systems that power flagship AI products
Bring proof-of-concept code to production
Partner with product teams to shape AI experiences
Contribute to all phases of software development
Hiring, mentoring, and career development
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Senior Product Engineer, AI Platform
Resolve complex customer queries instantly and automate support workflows using an AI-first platform designed for startups and global enterprises alike.
Benefits:
Competitive salary, annual bonus and equity
Regular compensation reviews
Generous paid time off above statutory minimum
Hybrid working
Fun events for Intercomrades
Experience Requirements:
5+ years of experience shipping high-quality products
1+ year of experience building ML-powered products (bonus)
Other Requirements:
Deep knowledge of high-level programming language (Python, Ruby etc.)
Ability to deep dive into any part of the tech stack
Bias towards progress over perfection
Excited about progress in the AI space
Responsibilities:
Build the systems that power flagship AI products
Bring proof-of-concept code to production
Partner with ML engineers and scientists to build platforms
Contribute to all phases of software development
Hiring, mentoring, and career development
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Associate Customer Enablement Architect
Unify data, analytics, and AI on a single lakehouse platform to build production-ready generative AI applications while maintaining full data privacy and control.
Benefits:
Annual performance bonus
Equity
Comprehensive benefits and perks
Experience Requirements:
6+ years of relevant experience in Sales Ops or Customer Success Ops
Proven track record of managing high-volume tasks
Experience identifying manual toil and process optimization
Comfort working in a fast-paced environment
Other Requirements:
Operational Discipline
Analytical Fluency with structured and unstructured data
Technical Curiosity for automation and AI prompting
High-Growth Agility
Ownership Mindset
Responsibilities:
Revenue realization across a broad portfolio of accounts
Efficient execution of enablement workflows at scale
Monitoring activation, engagement, and usage trends
Identification of recurring friction points across accounts
Continuous improvement of processes and tooling
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Associate Customer Enablement Architect
Unify data, analytics, and AI on a single lakehouse platform to build production-ready generative AI applications while maintaining full data privacy and control.
Benefits:
Annual performance bonus
Equity
Comprehensive benefits and perks
Experience Requirements:
6+ years of relevant experience in Sales Ops or Customer Success Ops
Proven track record of managing high-volume tasks
Experience identifying manual toil and process optimization
Comfort working in a fast-paced environment
Other Requirements:
Operational Discipline
Analytical Fluency with structured and unstructured data
Technical Curiosity for automation and AI prompting
High-Growth Agility
Ownership Mindset
Responsibilities:
Revenue realization across a broad portfolio of accounts
Efficient execution of enablement workflows at scale
Monitoring activation, engagement, and usage trends
Identification of recurring friction points across accounts
Continuous improvement of processes and tooling
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Director, Support Engineering (Data & AI)
Unify data, analytics, and AI on a single lakehouse platform to build production-ready generative AI applications while maintaining full data privacy and control.
Benefits:
Comprehensive benefits and perks
Education Requirements:
Bachelor’s/Master’s in Computer Science or equivalent technical field
Experience Requirements:
6+ years as a manager of managers
18+ years in the IT industry
Experience leading large teams of 100+ employees
Hands-on experience in Big Data (Spark, Hadoop, Kafka)
Experience in Machine Learning / AI projects
Other Requirements:
Strong background in customer-facing support leadership
Excellent troubleshooting skills across distributed systems
Strong ownership mindset
Ability to thrive in a fast-paced environment
Spark expertise is a big advantage
Responsibilities:
Lead and grow a regional team of Data & AI technical experts
Oversee support operations during APJ and EMEA hours
Ensure 24x7 support coverage through global coordination
Engage with top customers to understand business needs
Partner with product engineering to make products better
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