2d animator

animator

ai filmmaker

Dashverse

<div>
 
 
 The Mission:
 
 Build the operating system for the future of AI-powered entertainment.
 
 
 
 
 
 
 
 
 
 About Us
 
 
 
 Our journey at Dashverse began with a simple question: What if AI could power the next generation of entertainment? As a Series A company backed by leading investors like Peak XV, Matrix, and Stellaris, we first redefined storytelling with Dashtoon, our revolutionary AI comics creation and distribution platform. Now, with Dashreels, we are creating a new universe of short-form video, pairing addictive short dramas with our own game-changing AI-generated originals. We're on a mission to become the world's go-to destination for compelling, short-form narrative content
 
 .
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a talented AI filmmaker to join our creative team. As an AI Filmmaker/Animator, you will leverage state-of-the-art AI tools to create engaging animations. Your role involves transforming static images into dynamic animations and ensuring precise lip sync.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Create high-quality animations using AI tools based on provided
 </li>
 <li>
 imagesRevise animations based on feedback from the creative team and stake
 </li>
 <li>
 holdersContinuously research and stay updated on the latest AI animation tools and techn
 </li>
 <li>
 ologiesProvide feedback and suggestions to improve our animation process
 
 .
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Proven experience in video production, with a strong portfolio showcasing your skills.
 </li>
 <li>
 Proficiency in using AI-based animation tools (Ex. Kling, Runway, Minimax)
 </li>
 <li>
 Strong understanding of overall video production.
 </li>
 <li>
 Excellent attention to detail and creativity
 </li>
 <li>
 Ability to work collaboratively in a fast-paced environment
 </li>
 <li>
 Strong communication skills and openness to feedback
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 Background in video production, editing, direction, videography, vfx, animation, or fine arts.
 
 
 
 
 
 
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Build from the Ground Up: A rare opportunity to shape the core systems of a breakout company in its early, high-growth stage.
 </li>
 <li>
 Unprecedented Impact: Your work will directly influence the success and scalability of our entire operation.
 </li>
 <li>
 Work with the Best: Join a dynamic and passionate team that is setting new standards in storytelling and technology.
 </li>
 <li>
 Accelerate Your Career: This role offers immense potential for personal and professional growth in a fast-scaling company.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Ready to build with us? Apply Now!
 
 
 
 
</div>

AI Filmmaker

Target

<div>
 
 
 Position Overview:
 
 
 
 As a Sr. Compliance Consultant, you will manage areas of Target&rsquo;s Responsible AI Program to ensure Target remains in compliance with fast-emerging AI and privacy regulatory obligations and industry standards. You will play a critical role in building Responsible AI program capabilities, monitoring key controls, and developing standards that enable Target to deploy AI responsibly, safely, and at scale.
 
 
 
 
 
 
 Core Responsibilities:
 
 
 <ul>
 <li>
 
 Develop and operationalize Responsible AI program capabilities
 
 to meet compliance management framework expectations, including program documentation, AI use case requirements, control identification, gap analysis against laws and frameworks, , and monitoring and reporting.
 </li>
 <li>
 
 Design and implement AI observability practices
 
 to monitor compliance with Responsible AI controls (e.g., fairness, transparency, explainability, privacy). Partner with technology teams to develop and maintain tools, dashboards, and reporting mechanisms that enable ongoing oversight of deployed AI models.
 </li>
 <li>
 
 Develop standards and guidance for Responsible AI compliance
 
 , ensuring alignment with global laws and leading industry frameworks. Contribute to playbooks, guardrails, and decision trees that support responsible scaling of AI.
 </li>
 <li>
 
 Lead training and communication activities
 
 to increase awareness of Responsible AI and privacy expectations within business and product teams, including scenario-based training on generative AI and AI model lifecycle risks.
 </li>
 <li>
 
 Identify and assess AI-related risks
 
 in existing and new business processes, analyze underlying root causes, and recommend practical improvements to mitigate bias, strengthen transparency, and enhance accountability.
 </li>
 <li>
 
 Lead projects or work streams to embed Responsible AI
 
 into enterprise processes, ensuring they are timely, efficient, compliant, and repeatable as AI adoption scales.
 </li>
 <li>
 
 Support regulatory change management
 
 for rapidly evolving AI and privacy laws, platform rules and emerging industry codes of conduct.
 </li>
 <li>
 
 Prepare regular reporting and presentations
 
 for department leadership, compliance committees, and governance bodies to support decision-making, influence process changes, and track Responsible AI and privacy program activities.
 </li>
 <li>
 
 Establish and maintain strong partnerships
 
 across Compliance &amp; Risk, Legal, Technology, and business leaders, as well as external RAI and privacy networks, to stay informed of emerging risks, standards, and best practices.
 </li>
 <li>
 
 Other duties as assigned.
 
 </li>
 </ul>
 
 
 
 
 Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs
 
 <ul>
 <li>
 Four-year degree or equivalent combination of education and experience in fields such as Law, Computer Science, Data Science, Public Policy, Ethics, or related discipline.
 </li>
 <li>
 Professional certifications preferred: Certified Information Privacy Professional (CIPP), Certified AI Governance Professional (CAIGP), or other relevant AI/ethics/governance certifications.
 </li>
 <li>
 3+ years of experience within Responsible AI, Privacy, Risk, Governance, or related Compliance functions, including direct exposure to AI governance, model lifecycle management, and privacy regulations.
 </li>
 <li>
 Strong understanding of Responsible AI frameworks and principles (e.g., NIST AI RMF, OECD Principles, ISO/IEC 42001 AI standards) and ability to translate them into actionable compliance program activities.
 </li>
 <li>
 Proficiency with
 
 data tools
 
 (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power BI, cloud dashboards).
 </li>
 <li>
 Demonstrated ability to design and operationalize AI governance processes, including risk assessments, program documentation, training and awareness, process and data mapping, control design, and monitoring/reporting.
 </li>
 <li>
 Experience in AI observability or model monitoring practices (e.g., fairness/bias detection, transparency/explainability, accountability tracking) in collaboration with data science, product, or engineering teams.
 </li>
 <li>
 Experience leading cross-functional projects or workstreams at the intersection of compliance, technology, and business strategy. Ability to manage competing priorities and deliver results in a fast-paced and highly ambiguous environment.
 </li>
 <li>
 Ability to identify AI-related risks and process gaps, document end-to-end baseline processes, and develop improvement plans, including opportunities to transition manual controls to automation.
 </li>
 <li>
 Strong analytical and critical thinking skills, with the ability to leverage both qualitative and quantitative data to identify risks, surface trends, and recommend improvement opportunities.
 </li>
 <li>
 Knowledge of effective control design (preventive, detective, corrective) and how to embed these into AI/technology-enabled operational processes while ensuring alignment with business objectives.
 </li>
 <li>
 Familiarity with AI/ML systems, generative AI platforms, and third-party vendor tools, including how compliance and risk frameworks apply to these technologies.
 </li>
 <li>
 Strong interpersonal and communication skills, with the ability to facilitate cross-functional discussions, manage conflict, build consensus, and influence without authority.
 </li>
 <li>
 Ability to apply change management principles to successfully implement new compliance processes in response to evolving AI regulations, business strategies, and emerging technologies.
 </li>
 <li>
 Proven ability to work with discretion and sensitivity while handling confidential or high-risk information.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to simplify complex AI and compliance topics for diverse audiences.
 </li>
 <li>
 Adaptability, curiosity, and a growth mindset to navigate the rapidly evolving AI and regulatory landscape.
 </li>
 </ul>
</div>

Compliance Consultant

Kong

<div>
 
 Are you ready to power the World's connections?
 
 
 
 If you don&rsquo;t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we&rsquo;re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
 
 
 
 About The Role
 
 
 
 The Engineering Manager for the AI Platform team will lead a team of AI/ML engineers, applied scientists, and platform engineers building Kong's next-generation AI capabilities. You'll be responsible for building and scaling a high-performing team, driving technical execution, and collaborating with product and leadership to define the roadmap for AI features across Kong's platform. This role requires a strong technical background in either AI/ML or platform engineering, proven people management experience, and the ability to navigate the rapidly evolving AI landscape while delivering production-ready systems at scale.
 
 
 
 What You'll Do
 
 
 
 Lead, mentor, and grow a team of 6-10 engineers, including AI/ML engineers, applied scientists, and platform engineers.
 
 
 Build a strong engineering culture focused on innovation, quality, collaboration, and continuous learning in the AI domain.
 
 
 Drive technical execution across multiple parallel initiatives, ensuring timely delivery of high-quality AI features.
 
 
 Partner with product managers to define roadmaps, prioritize work, and align team efforts with business objectives.
 
 
 Conduct regular 1:1s, provide coaching and feedback, and support career development for all team members.
 
 
 Lead hiring efforts to scale the team, including defining role requirements, conducting interviews, and making hiring decisions.
 
 
 Collaborate with cross-functional teams, including Gateway, Dev Portal, and other product teams, to integrate AI capabilities.
 
 
 Establish engineering best practices for AI/ML development, including evaluation frameworks, safety guardrails, and responsible AI principles.
 
 
 Drive technical strategy and architectural decisions for AI platform services and infrastructure.
 
 
 Manage team performance through goal setting, performance reviews, and fostering accountability.
 
 
 Balance innovation and experimentation with pragmatic delivery of production systems.
 
 
 Communicate technical progress, challenges, and strategic recommendations to senior leadership.
 
 
 Own incident response and operational excellence for AI platform services.
 
 
 Advocate for the team's needs in terms of resources, tooling, and organizational support.
 
 
 
 What You'll Bring
 
 
 
 3+ years of engineering management experience leading teams of 5+ engineers.
 
 
 8+ years of total software engineering experience with a strong technical background in one or more of AI/ML engineering, distributed systems, or platform engineering.
 
 
 Demonstrated success building and scaling high-performing engineering teams.
 
 
 Experience managing teams working on AI/ML systems, large language models, or ML infrastructure (strongly preferred).
 
 
 Strong technical credibility with the ability to engage in architecture discussions, code reviews, and technical decision-making.
 
 
 Experience hiring, onboarding, and developing engineers at different seniority levels.
 
 
 Proven ability to drive execution on complex, ambiguous projects with multiple stakeholders.
 
 
 Strong communication skills with the ability to influence across technical and non-technical audiences.
 
 
 Experience working in fast-paced environments and balancing competing priorities.
 
 
 Understanding of modern AI/ML technologies, including LLMs, vector databases, and ML infrastructure.
 
 
 Knowledge of cloud platforms (AWS preferred) and container orchestration (Kubernetes).
 
 
 Experience with agile development methodologies and iterative delivery practices.
 
 
 Track record of fostering inclusive and collaborative team environments.
 
 
 Ability to provide technical guidance while empowering teams to make decisions.
 
 
 Experience managing globally distributed teams across multiple time zones.
 
 
 
 Bonus Points
 
 
 
 Experience managing teams building production AI/ML applications or ML platforms.
 
 
 Background as an AI/ML engineer, data scientist, or ML platform engineer.
 
 
 Experience with AWS AI/ML services (Bedrock, SageMaker) or similar platforms.
 
 
 Knowledge of LLM application development, prompt engineering, or agentic workflows.
 
 
 Experience in API Gateway, developer tools, or platform engineering domains.
 
 
 Understanding of responsible AI practices, AI safety, and alignment principles.
 
 
 Experience managing teams through 0-to-1 product development.
 
 
 Track record of technical writing, conference speaking, or thought leadership in AI/ML.
 
 
 Experience with performance management and difficult conversations.
 
 
 Background in building MLOps infrastructure or ML engineering platforms.
 
 
 Familiarity with Kong's products or the API management ecosystem.
 
 
 Experience managing teams supporting high-availability SaaS or PaaS offerings.
 
 
 Knowledge of compliance frameworks and building audit-ready AI systems.
 
 
 Experience collaborating with research teams or applied scientists.
 
 
 Active involvement in AI/ML communities or open-source contributions.
 
 
 
 About Kong
 
 
 
 Kong Inc., a leading developer of cloud API technologies, is on a mission to enable companies around the world to become &ldquo;API-first&rdquo; and securely accelerate AI adoption. Kong helps organizations globally &mdash; from startups to Fortune 500 enterprises &mdash; unleash developer productivity, build securely, and accelerate time to market. For more information about Kong, please visit www.konghq.com or follow us on X @thekonginc.
 
 
</div>

Engineering Manager, Konnect Core Platform

upGrad

<div>
 
 
 Job Title
 
 
 
 
 Product Manager (AI-First Products)
 
 
 
 
 Location
 
 
 
 Bangalore (WFO)
 
 
 
 Experience
 
 
 
 1-2 years (Early professionals with some exposure and experience to consumer facing industry)
 
 
 
 About the Role
 
 
 
 We are looking for a
 
 high-energy, AI-native Associate Product Manager
 
 to join our Product team. This role is ideal for someone
 
 fresh out of college or MBA (Tier-1 preferred)
 
 who has actively worked with
 
 AI tools, prompt engineering, and AI-driven product workflows
 
 and is excited to build modern, intelligent products.
 
 
 You will work closely with senior product leaders, engineering, design, and data teams to shape product requirements, experiment with AI capabilities, and help deliver impactful user experiences.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Defining product requirements, user stories, and acceptance criteria
 </li>
 <li>
 Leverage
 
 AI tools (LLMs, copilots, automation tools, analytics AI, etc.)
 
 to improve product discovery, execution, and documentation
 </li>
 <li>
 Create and refine
 
 high-quality prompts
 
 for different use cases (research, UX writing, PRDs, analysis, testing, etc.)
 </li>
 <li>
 Conduct user research, competitive analysis, and market studies using AI-assisted methods
 </li>
 <li>
 Roadmap planning, sprint execution, and product launches
 </li>
 <li>
 Collaborate with engineering and design teams to ensure clear communication and fast execution
 </li>
 <li>
 Continuously experiment with new AI tools relevant to product management and workflows
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Recently graduated from:
 </li>
 <li>
 
 Tier-1 MBA program
 
 OR
 </li>
 <li>
 Strong undergraduate background in
 
 Product, Engineering, Design, or Technology
 
 </li>
 <li>
 
 1-2 years of work experience
 
 </li>
 <li>
 Hands-on experience using
 
 AI tools in real work
 
 , not just theoretical knowledge
 </li>
 <li>
 Strong understanding of:
 </li>
 <li>
 Prompt engineering and prompt optimization
 </li>
 <li>
 Multiple AI tools used in product, research, design, or productivity
 </li>
 <li>
 High energy, ownership mindset, and eagerness to learn
 </li>
 <li>
 Excellent communication and structured thinking skills
 </li>
 </ul>
 
 
</div>

Product Manager

Unilever

<div>
 
 Job Title:
 
 IT Assistance Product Manager &ndash; AI for Manufacturing
 
 
 
 Location:
 
 UniOps Bangalore
 
 
 
 About Unilever
 
 
 
 Be part of the world&rsquo;s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life &ndash; giving us a unique opportunity to build a brighter future.
 
 
 Every individual here can bring their purpose to life through their work. Join us and you&rsquo;ll be surrounded by inspiring leaders and supportive peers. Among them, you&rsquo;ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we&rsquo;ll work to help you become a better you.
 
 
 
 Background
 
 
 
 Unilever is digitally rewiring its supply chain, focusing on generating real-time &amp; democratized information, capitalizing on advanced technologies, and building digitally connected factories. This will help deliver competitive, volume-driven growth while supporting an increasing demand for agility and will have to be underpinned by sustainable cost reduction. The Supply Chain Transformation is expected to enable &ndash;
 
 
 <ul>
 <li>
 Improved agility and customer-centricity across end-to-end supply chains through the facilitation of faster recognition of customer preferences and feedback. This, in turn, will allow quick adjustments to manufacturing flows and material flows in factories.
 </li>
 <li>
 A competitive edge through supply-chain resilience &ndash; thereby requiring connected, reconfigurable supply ecosystems.
 </li>
 <li>
 Speed and productivity through increased levels of automation and workforce augmentation coupled with upskilling and reskilling effort.
 </li>
 <li>
 Being cost-efficient and resource-efficient, to boost growth and support investment.
 
 
 </li>
 </ul>
 Supply Chain cost savings are an essential part of the virtuous cycle of growth and support the business efforts to increase the core operating margin. These savings will be driven by improvements in efficiency.
 
 
 Supply chain leadership seeks continuous improvement in manufacturing to drive cost savings and higher returns, providing extra fuel for growth as cash is redeployed in new strategic opportunities.
 
 
 
 The &ldquo;AI in Manufacturing&rdquo; strategy aims to accelerate net productivity
 
 in Unilever&rsquo;s
 
 
 manufacturing by leveraging AI to optimize processes, reduce costs, and improve product
 
 
 quality. Based on discussion with the BGs,
 
 five focus themes
 
 have been agreed -
 
 
 <ul>
 <li>
 Asset Utilization: AI solutions will address changeover optimization, minor stops, breakdowns, and speed losses, reducing production costs by up to 2%.
 </li>
 <li>
 Labour Productivity: AI-enabled smart labour planning will improve productivity by 2-5%.
 </li>
 <li>
 Superior Quality: AI will enhance product quality and reduce waste by 5-11%.
 </li>
 <li>
 Energy Management: AI-driven energy management will cut energy costs by 6-10%.
 </li>
 <li>
 Zero Harm: AI will enhance safety by monitoring and orchestrating proactive safety measures.
 
 
 </li>
 </ul>
 
 Main Purpose Of Job
 
 
 
 The Assistant Manager &ndash; AI for Manufacturing will be responsible for driving AI-based solutions and deployments across Unilever&rsquo;s manufacturing sites globally. This role requires a strong understanding of AI model development, deployment strategies, and the ability to collaborate with cross-functional teams to deliver impactful business outcomes.
 
 
 
 Key Accountabilities
 
 
 
 
 AI Deployment &amp; Scale-Up
 
 
 
 <ul>
 <li>
 Lead end-to-end deployment of AI solutions across manufacturing sites.
 </li>
 <li>
 Ensure seamless integration of AI models into existing manufacturing systems and processes.
 </li>
 <li>
 Drive adoption and change management for AI initiatives across regions.
 
 
 </li>
 </ul>
 
 AI Model Development
 
 
 
 <ul>
 <li>
 Collaborate with data scientists and engineering teams to design, build, and validate AI models for manufacturing use cases.
 </li>
 <li>
 Understand and contribute to model architecture, training, and optimization for performance and scalability.
 
 
 </li>
 </ul>
 
 Innovation &amp; Use Case Identification
 
 
 
 <ul>
 <li>
 Identify opportunities for AI-driven improvements in efficiency, quality, and sustainability within manufacturing.
 </li>
 <li>
 Work closely with business stakeholders to prioritize and deliver high-impact AI use cases.
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Partner with global and regional teams, including operations, IT, and data analytics, to ensure alignment and successful execution.
 </li>
 <li>
 Act as a liaison between technical teams and business stakeholders to translate requirements into actionable AI solutions.
 
 
 </li>
 </ul>
 
 Governance &amp; Compliance
 
 
 
 <ul>
 <li>
 Ensure AI deployments adhere to Unilever&rsquo;s data governance, security, and ethical AI standards.
 </li>
 <li>
 Monitor and report on performance metrics and ROI for AI initiatives.
 
 
 </li>
 </ul>
 
 Experience And Qualifications Required
 
 
 
 <ul>
 <li>
 6-8 years of overall work experience with a strong background in systems engineering, Azure Landscape fundamentals, product development, and/or product management.
 </li>
 <li>
 Expert in Agile application development and DevOps
 </li>
 <li>
 Good understanding of cloud capabilities (preferably Microsoft Azure)
 </li>
 <li>
 Understanding of Supply Chain process (Manufacturing &amp; Maintenance knowledge is a must)
 </li>
 <li>
 Good knowledge on data analytics and artificial intelligence
 </li>
 <li>
 Good understanding of MES (Manufacturing execution systems)
 </li>
 <li>
 Good understanding of factory data acquisition layers (SCADA systems, PLCs, etc)
 </li>
 <li>
 Good understanding of core ECC production process
 </li>
 <li>
 Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.
 </li>
 <li>
 Self-motivated: able to handle multiple workstreams, prioritize, and manage time efficiently
 </li>
 <li>
 Travel &ndash; 20%
 
 
 </li>
 </ul>
 
 Desirable Skills
 
 
 
 <ul>
 <li>
 Strong knowledge of AI/ML concepts, model building, and deployment lifecycle.
 </li>
 <li>
 Hands-on experience with AI tools and frameworks (e.g., Azure ML).
 </li>
 <li>
 Understanding of manufacturing processes and Industry 4.0 technologies.
 </li>
 <li>
 Proven ability to manage end-to-end deployments and coordinate across multiple stakeholders.
 </li>
 <li>
 Excellent communication and stakeholder management skills
 </li>
 <li>
 Ability to work in a global, cross-functional environment.
 
 
 </li>
 </ul>
 
 Key Interfaces
 
 
 
 
 Major internal customers and external contacts:
 
 
 
 <ul>
 <li>
 Unilever Business &ndash; Cluster/Regional Leads, Directors, VPs and team
 </li>
 <li>
 IT Platform/Enterprise Architect/Supply Chain, D&amp;A Tech
 </li>
 <li>
 External partners
 </li>
 <li>
 Other team members in same team specially within process development role
 
 
 </li>
 </ul>
 
 Note:
 
 
 "All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent&mdash;please verify before proceeding.
 
</div>

Assistant Product Manager

TELUS Digital

<div>
 
 
 Hi candidate,
 
 
 
 
 Kindly find below the JD:
 
 
 
 
 
 
 
 Job Description
 
 
 
 TELUS Digital (TD) Experience partners with the world&rsquo;s most innovative brands, from tech startups to industry leaders in fintech, gaming, healthcare, and more. We empower businesses to scale and redefine possibilities with integrated customer experience and cutting-edge digital solutions.
 
 
 Backed by TELUS, our multi-billion-dollar parent company, we offer scalable, multi-language, and multi-shore capabilities. Our expertise spans digital transformation, AI-driven consulting, IT lifecycle management, and more &ndash; delivered with secure infrastructure, value-driven pricing, and exceptional service.
 
 
 
 
 
 
 AI Data Solutions: Shaping the Future of AI
 
 
 
 For nearly two decades, Telus Digital AI Data Solutions has been a global leader in providing premium data services for the ever-evolving AI ecosystem. From machine learning to computer
 
 
 vision and Generative AI (GenAI), we empower the next generation of AI-powered experiences with high-quality data and human intelligence to test, train and improve AI models.
 
 
 
 
 Backed by a community of over one million contributors and proprietary AI-driven tools, we deliver solutions designed to cover the training data needs of every project. From custom data
 
 
 collection to advanced data annotation and fine-tuning, our purpose-built tools deliver multimodal data for AI training projects of any complexity &ndash; from experimental pilots to ambitious large-scale programs. Examples include empowering GenAI models with human-aligned datasets and fine-tuning data across 20+ domains and 100+ languages, enabling autonomous driving and advancing extended reality applications with industry-leading data labelling.
 
 
 
 
 Join us to be part of an innovative team shaping the future of AI and driving digital
 
 
 transformation to new heights!
 
 
 More: https://www.telusdigital.com/
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Talent Sourcing &amp; Recruitment:
 
 
 
 &middot; Source, screen, and evaluate candidates for technical roles using platforms like LinkedIn, Naukri, and job boards.
 
 
 &middot; Develop and maintain a pipeline of qualified technical candidates.
 
 
 &middot; Conduct initial technical assessments to match candidates with job requirements.
 
 
 
 Client Collaboration:
 
 
 
 &middot; Collaborate with hiring managers to understand technical job requirements and team needs.
 
 
 &middot; Provide regular updates on recruitment progress and candidate pipelines.
 
 
 
 Candidate Engagement:
 
 
 
 &middot; Manage end-to-end recruitment, including sourcing, scheduling interviews, negotiating offers, and onboarding.
 
 
 &middot; Build strong relationships with candidates to ensure a positive experience.
 
 
 
 Market Research:
 
 
 
 &middot; Stay updated on the latest recruitment trends and technical job market dynamics.
 
 
 &middot; Identify and implement strategies to attract top talent in competitive markets.
 
 
 
 Administrative Support:
 
 
 
 &middot; Maintain accurate records of candidate interactions and status in the ATS (Applicant Tracking System).
 
 
 &middot; Generate recruitment metrics and reports for management review.
 
</div>

Sourcing Specialist

Newpage Solutions

<div>
 AI ENGINEER
 
 
 
 Location: Bengaluru (Hybrid) | Type: Full-time
 
 
 
 
 About Newpage Solutions
 
 
 
 Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations which include, pharmaceutical, biotech and healthcare leaders, to build transformative AI and data driven technologies addressing real-world health challenges.
 
 
 From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.
 
 
 We are proud to be a &lsquo;Great Place to Work&reg;&rsquo; certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview. As an organisation, we foster creativity, continuous learning and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people&rsquo;s lives.
 
 
 
 Your Mission
 
 
 
 We&rsquo;re seeking a highly experienced, technically exceptional AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution and technical excellence. You will define the standards for quality, scalability and innovation across all AI initiatives.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Develop AI Applications &amp; Agentic Systems
 
 
 
 <ul>
 <li>
 Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone / ChromaDB / Weaviate / pgvector / etc)
 </li>
 <li>
 Implement guardrails, observability, fine-tune and train models for industry or domain specific use cases
 </li>
 <li>
 Build multi-modal workflows using text, image, voice and video
 </li>
 <li>
 Design robust prompt &amp; context engineering frameworks to improve accuracy, repeatability, quality, cost and latency
 </li>
 <li>
 Build supporting microservices and modular backends using Python or JavaScript or Java aligned with domain driven design, SOLID principles, OOP, and clean architecture using various databases including relational, document, Key-Value, Graph and other types of databases and event driven systems using Kafka / MSK, SQS, etc
 </li>
 <li>
 Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture
 
 
 </li>
 </ul>
 
 AI Assisted Development, Context Engineering &amp; Innovation
 
 
 
 <ul>
 <li>
 Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development)
 </li>
 <li>
 Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams.
 </li>
 <li>
 Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise)
 </li>
 <li>
 Build POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 2-5 years of total experience in software development, with at least 2 years in AI/ML systems engineering or Generative AI
 </li>
 <li>
 Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents
 </li>
 <li>
 A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost
 </li>
 <li>
 Python or JavaScript experience with strong grasp of OOP, SOLID principles, 12-factor application development and scalable microservice architecture
 </li>
 <li>
 Proven track record developing and deploying GenAI/LLM-based systems in production
 </li>
 <li>
 Advanced understanding of context engineering, prompt construction, optimisation and evaluation techniques
 </li>
 <li>
 End-to-end implementation experience using vector databases and retrieval pipelines
 </li>
 <li>
 Can balance rapid prototyping with long-term maintainability
 </li>
 <li>
 Excel at working independently while collaborating effectively across teams
 </li>
 <li>
 Stay ahead of the curve on new AI models, frameworks and best practices
 </li>
 <li>
 Have a founder&rsquo;s mindset and love solving ambiguous, high-impact technical challenges
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, or a related technical discipline
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 At Newpage, we&rsquo;re building a company that works smart and grows with agility, where driven individuals come together to do work that matters. We offer:
 
 
 <ul>
 <li>
 A people-first culture - Supportive peers, open communication and a strong sense of belonging
 </li>
 <li>
 Smart, purposeful collaboration - Work with talented colleagues to create technologies that solve meaningful business challenges
 </li>
 <li>
 Balance that lasts - We respect your time and support a healthy integration of work and life
 </li>
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 Room to grow - Opportunities for learning, leadership and career development, shaped around you
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 Meaningful rewards - Competitive compensation that recognises both contribution and potential
 
 
 </li>
 </ul>
 
 Ready to Apply?
 
 
 
 Let&rsquo;s build the future of health together. Apply below or reach out to:
 
 
 
 shubhi.tiwari@newpage.io
 
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AI Engineer

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