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ai engineer

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>
 <li>
 Room to grow - Opportunities for learning, leadership and career development, shaped around you
 </li>
 <li>
 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
 
</div>

AI Engineer

PwC Acceleration Center India

<div>
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
 
 
 The Opportunity
 
 
 When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you&rsquo;ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You&rsquo;ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
 
 
 As part of the AI Engineering team you will design and deliver innovative AI applications that transform business operations. As a Senior Associate, you will collaborate with cross-functional teams to develop scalable solutions, driving enterprise innovation while staying at the forefront of emerging technologies and industry trends.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement innovative AI applications to improve business operations
 </li>
 <li>
 Collaborate with cross-functional teams to develop scalable solutions
 </li>
 <li>
 Stay abreast of emerging technologies and industry trends
 </li>
 <li>
 Analyze business requirements to inform application development
 </li>
 <li>
 Provide technical guidance and support to team members
 </li>
 <li>
 Drive enterprise innovation through successful project execution
 </li>
 <li>
 Confirm solutions meet quality standards and client expectations
 </li>
 <li>
 Contribute to knowledge sharing and practices within the team
 
 
 </li>
 </ul>
 What You Must Have
 
 
 <ul>
 <li>
 Bachelor's Degree
 </li>
 <li>
 3 years of experience in Data Science/ML/AI roles
 </li>
 <li>
 Oral and written proficiency in English
 
 
 </li>
 </ul>
 What Sets You Apart
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Engineering
 </li>
 <li>
 Hands-on experience with Generative AI solutions
 </li>
 <li>
 Proficiency in Python and data science libraries
 </li>
 <li>
 Familiarity with cloud platforms like Azure
 </li>
 <li>
 Understanding of production-level AI systems
 </li>
 <li>
 Experience with Docker and containerized deployments
 </li>
 <li>
 Knowledge of NLP techniques and transformer architectures
 </li>
 <li>
 Demonstrated track record of delivering AI-driven solutions
 </li>
 <li>
 Experience in deploying AI models via APIs
 </li>
 </ul>
</div>

Data Scientist- Sr Associate

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical fields.
 </li>
 <li>
 2 years of experience with data structures or algorithms.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About the job
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 The AI and Infrastructure team works on the world&rsquo;s toughest problems, redefining what&rsquo;s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We&rsquo;re at the center of amazing work at Google by being the &ldquo;flywheel&rdquo; that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.
 
 
 In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, Google Cloud

Capgemini

<div>
 
 Job Description
 
 
 
 
 JD
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Support on Fine-tuning and optimize LLMs/VLMs for specific tasks.
 </li>
 <li>
 Support on building and deploy models using PyTorch and Python ML libraries.
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Proficiency in Python, PyTorch, CNNs, and Computer vision.
 </li>
 <li>
 Experience with LLM/VLM frameworks (e.g., Transformers, CLIP, BLIP).
 </li>
 <li>
 Knowledge of model deployment, evaluation and benchmarking.
 
 
 </li>
 </ul>
 
 Mandatory Skills:
 
 
 
 Computer Vision, Python, PyTorch, CNN, LLN/VLM
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help transform technology platforms, driving innovation, and help make a significant impact on our clients' achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Level: Consultant or equivalent
 
 
 
 As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines.
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Leverage proficiency in adjacent technologies beyond core skills to enhance project outcomes. Proactively identify and communicate issues or risks to team leaders, and complete assigned technology learning on schedule. Quickly adapt to project-specific tools and gain understanding of client business processes or industry fundamentals. Support process improvements, automation, and innovation while maintaining up-to-date project documentation. Contribute to tracking delivery metrics and lead knowledge-sharing sessions on processes and technology trends. Participate in team building, defect management, and compliance activities. Demonstrate ownership of deliverables and actively engage in ideation and development of tools, accelerators, and innovative solutions.
 
 
 
 The team:
 
 
 
 Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models&mdash;traditional teams, pools, or pods&mdash;are tailored to each client&rsquo;s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
 
 
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3 - 6 years of hands-on experience in Java, J2EE, Springboot, Microservices
 </li>
 <li>
 Has built scalable, reliable, and secure backend services and APIs using Java and Spring Boot
 </li>
 <li>
 Good understanding of Object-Oriented Programming concepts:
 </li>
 <li>
 Should be able to provide correct definitions of Object-Oriented Programming Concepts and able to differentiate between them
 </li>
 <li>
 Able to come up with class structure in adherence with object-oriented concepts
 </li>
 <li>
 Able to identify mistakes / deviation from object-oriented principles in a given scenario or piece of code
 </li>
 <li>
 Good theoretical understanding on Java 8+ concepts and hands on experience
 </li>
 <li>
 Well versed with: Exception Handling, Collections Framework, Threads, Streams, Lambdas etc.
 </li>
 <li>
 Ability to write working code for given scenarios in Core Java(Java 8+)
 </li>
 <li>
 Should be able to predict correct output of code snippets
 </li>
 <li>
 Able to write impeccable code for the given scenario, should be able to consider performance and security aspects while writing code and justify the logic he/ she has written
 </li>
 <li>
 Given multiple ways to fix a problem, should be able to select the best one and justify the same
 </li>
 <li>
 Good understanding of Micro Services concepts
 </li>
 <li>
 Develop and maintain RESTful APIs for various applications and services.
 </li>
 <li>
 Familiarity with SOAP services
 </li>
 <li>
 Explain best practices
 </li>
 <li>
 Able to ensure effective inter-service communication and data consistency
 </li>
 <li>
 Given a scenario, should be able to come up with high level design of micro services
 </li>
 <li>
 Good theoretical and hands-on knowledge of Spring framework and Springboot.
 </li>
 <li>
 Able to build simple projects and write working code without handholding.
 </li>
 <li>
 Able to explain important annotations
 </li>
 <li>
 Able to explain design principles in Spring and Springboot
 </li>
 <li>
 Able to explain bean creation process
 </li>
 <li>
 Able to explain transaction management
 </li>
 <li>
 Able to explain database access
 </li>
 <li>
 Extensive experience with Spring Security, Spring Cloud
 </li>
 <li>
 Aware of cross cutting concerns and how to address those using Spring framework
 </li>
 <li>
 Good understanding of RDBMS and SQL concepts, should be able to understand, troubleshoot and write complex SQL queries
 </li>
 <li>
 Understanding of forms of Normalization. Able to do table design in accordance with standards.
 </li>
 <li>
 Expertise in any of the ORM frameworks(e.g. Hibernate) and JPA.
 </li>
 <li>
 Should be able to write JPA queries
 </li>
 <li>
 Should be able to design entity data model for a given scenario
 </li>
 <li>
 Expertise in transaction management and performance optimization of ORM based code
 </li>
 <li>
 Understanding of NoSQL concepts, familiarity with any of NOSQL databases. Able to explain prominent features of NOSQL databases.
 </li>
 <li>
 Should be able to write Junit test cases and ensure code coverage.
 </li>
 <li>
 Good understanding of cloud computing and any of the cloud providers (AWS, Azure, GCP etc.).
 </li>
 <li>
 Familiar with deployment in cloud and containerized environments (Docker, Kubernetes)
 </li>
 <li>
 Good grasp of asynchronous communication and its standard implementations
 </li>
 <li>
 Hands-on experience with version control systems like Git. Able to explain version control process and best practices.
 </li>
 <li>
 Expertise in build-tools like MAVEN and Gradle. Able to address issues like vulnerability fixes.
 </li>
 <li>
 Expertise in CI/CD concepts and tools (Jenkins, GitLab CI, GitHub Actions). Should be able to explain the build process and its stages.
 </li>
 <li>
 Able to suggest appropriate design pattern for a given scenario and write code in accordance with it.
 </li>
 <li>
 Good grasp of AI concepts and recent trends:
 </li>
 <li>
 Able to explain concepts related to Natural Language Processing (NLP), Machine Learning, Deep Learning, Computer Vision etc.
 </li>
 <li>
 Able to think about practical project ideas and suggest implementation strategies
 </li>
 <li>
 Should have worked with Agile methodology and aware of best practices:
 </li>
 <li>
 Awareness of core principles, and application in projects
 </li>
 <li>
 Able to compare between traditional models with Agile and justify Agile adaptation
 </li>
 <li>
 Explain important Agile Metrics - velocity, cycle time, burndown charts etc. and usage of the same for process improvement
 </li>
 <li>
 Able to explain Sprint ceremonies and estimation process followed in the current project
 </li>
 <li>
 Should be able to explain the business impact of the project he is currently working on
 </li>
 <li>
 Strong have good communication skills, experienced with direct client interactions
 </li>
 <li>
 For a given scenario, ability to come up with the right questions to be asked to the client to remove ambiguity
 </li>
 <li>
 Usage of right words
 </li>
 <li>
 Should be able to explain the key concepts, challenges and trends in the industry aligned to current project and have understanding of technology disruptors specific to the industry
 </li>
 <li>
 Troubleshooting &amp; Debugging: Identify, diagnose, and resolve bugs and performance bottlenecks within the application with minimal hand-holding. Should be able to provide directionally correct answers to questions based on error scenarios.
 </li>
 <li>
 Experienced with integrating Java applications with external APIs, data sources, and databases using web services (RESTful) and other protocols.
 </li>
 <li>
 Should be a good team player. Able to work closely with other developers, designers, project managers, and cross-functional teams to deliver integrated solutions.
 </li>
 <li>
 Certification:
 </li>
 <li>
 Oracle Certified Associate (Java 8 or above)
 </li>
 <li>
 Oracle Certified Professional (Java 8 or above)
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Hands-on experience with any of the cloud providers
 </li>
 <li>
 Hands-on experience in AI &ndash; Basic understanding of concepts related to Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), Computer Vision etc.
 </li>
 <li>
 Awareness / hands-on experience on the following tools/ frameworks
 </li>
 <li>
 Python, TensorFlow and PyTorch, Scikit-learn, NLP Libraries
 </li>
 <li>
 Foundational, developer and architect level certification with any of the cloud providers:
 </li>
 <li>
 AWS Certified Cloud Practitioner / Microsoft Azure Fundamentals / GCP Foundational certification
 </li>
 <li>
 AWS Certified Developer &ndash; Associate, Microsoft Azure Developer Associate, GCP Associate certification
 </li>
 <li>
 Awareness of recent industry specific events and able to explain their impact on the work that he has been doing
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 <ul>
 <li>
 Bengaluru/Hyderabad
 
 
 </li>
 </ul>
 
 Shift Timings:
 
 
 
 <ul>
 <li>
 6 AM to 3 PM or 2 PM to 11 PM IST as per business requirements
 
 
 </li>
 </ul>
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 305202
</div>

JAVA Microservices -Consultant-Hyderabad/Bengaluru/Mumbai

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

Microsoft

<div>
 
 Overview
 
 
 
 CoreAI is at the forefront of Microsoft&rsquo;s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.
 
 
 The AI Core Infrastructure team, part of AI Platform team in CoreAI Organization is responsible for large-scale, highly reliable and efficient GPU management infrastructure and the inference and training platforms that powers all of Microsoft&rsquo;s AI workloads, such as M365 CoPilot, Github CoPilot, Microsoft CoPilot, AI Foundry&rsquo;s Inference and Fine-Tuning offering of OAI and OSS models, and many more.
 
 
 As a Senior Software Engineer on the fleet management team, you will work on cutting edge infrastructure and tools to build manage and support large scale training and inference clusters of latest generation of NVIDIA and AMD GPUs in Azure and Microsoft partner clouds on some of the world&rsquo;s largest AI Supercomputers.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
 
 
 
 Responsibilities
 
 
 
 As a senior engineer on the infrastructure fleet management team, your responsibilities include:
 
 
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 Architect, design, and develop core AI Infrastructure services developed in Go, Rust, Python, C++, and C# deployed on large-scale Kubernetes clusters to support state-of-the-art LLM training and inference.
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 Design, build, and manage large-scale GPU clusters to support LLM training and inference workloads.
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 Enhance systems and applications to deliver high stability, low latency, strong security, and maintainability in large-scale complex training environments in Azure and in partner clouds.
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 Provide operational support, technical leadership, and vision while contributing to the deployment, monitoring, and continuous improvement of engineering systems and practices.
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 Support development and troubleshooting from the frontline, resolving complex issues impacting large-scale services.
 
 
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 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
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 Bachelor&rsquo;s or master&rsquo;s degree in computer science or a related field.
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 2+ years designing, developing, and shipping high quality software.
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 1+ years of experience with distributed systems and cloud-based infrastructure.
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 1+ year of experience with DevOps practices (CI/CD, automated testing, deployment, etc.).
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 Passionate and self-motivated. Strong ability in self-learning, entering new domain, managing through uncertainty in an innovative team environment.
 
 
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 Preferred/Additional Qualifications
 
 
 
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 3+ years of software development experience in C#, C++, Python, or similar languages.
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 2+ years of experience with containerization tools (e.g., Docker, Kubernetes).
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 Knowledge and hands on experience with production ML systems, large-scale training infrastructure, NCCL, CUDA libraries and tools.
 
 
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 Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
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Software Engineer 2

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