Senior Product Design Manager in India

Job Overview: We are looking for a Senior GenAI Developer to design, build, and productionize agentic AI systems—LLM-powered agents that can plan, use tools, orchestrate workflows, and operate reliably under enterprise constraints. You will own key parts of the agent architecture (planning, tool use, memory, evaluation, safety/guardrails, and observability) and deliver end-to-end solutions across RAG, function/tool calling, multi-agent coordination, and scalable deployment. Key Responsibilities Design and implement agentic systems: single-agent and multi-agent architectures (planner/executor, supervisor-worker, routing, reflection, critique, task decomposition). Build robust tool-using agents: function calling, tool schemas, tool authorization, retries, rate limiting, and sandboxing. Implement RAG + memory patterns: retrieval strategies, hybrid search, context assembly, long-term memory, and grounding/citation behaviors. Develop workflow orchestration for agent execution (state machines/graphs), concurrency controls, and deterministic execution where possible. Productionize GenAI services: APIs, background jobs, streaming responses, caching, and cost/latency optimization. Establish agent evaluation: golden sets, simulation-based evals, LLM-as-judge with mitigations, task success metrics, regression testing. Build observability and safety: tracing, token/tool telemetry, anomaly detection, prompt injection defenses, data leakage prevention, policy enforcement. Collaborate with product, security, and platform teams to deliver enterprise-ready solutions and integrate with internal systems (data, identity, workflow). Mentor engineers, set coding standards, and contribute to architecture reviews and technical roadmaps. Required Qualifications 6+ years software engineering experience; 2+ years building LLM/GenAI systems in production. Strong programming skills in Python (required) and/or TypeScript/Node.js. H

Title: Senior Site Reliability Engineer - I, Product Area Focus Location: Noida (Hybrid) Summary of role Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering teams. Responsibilities Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities. Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap. Participate in defining, evolving, and managing SLOs for several teams within your product area. Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components. Complete projects to optimize and tune on-call experience for your engineering teams. Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement. Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly. Work closely with the developer infrastructure teams to expedit

Position Overview: We are looking for a Senior Software Engineer to drive technical excellence, architect complex systems, and elevate our engineering team. You will own critical technical decisions, lead major initiatives from conception to delivery, and set the standard for engineering quality across our products. As a senior engineer, you will architect and lead the development of sophisticated AI-enabled features and infrastructure. This includes designing MCP server architectures, building advanced RAG systems, implementing agentic AI workflows, and establishing patterns that scale across our product portfolio. You will combine deep technical expertise in both traditional software engineering and AI/ML to deliver production-grade solutions. What You'll Do Lead the design and implementation of AI integration infrastructure (MCP servers, orchestration layers, API gateways) Build sophisticated AI features including advanced RAG systems, agentic workflows, and multi-step reasoning Establish AI engineering best practices, security patterns, and quality standards Lead technical initiatives from requirements through production deployment Make critical architectural decisions balancing performance, scalability, cost, and maintainability Design AI evaluation frameworks and implement quality benchmarks Debug and resolve complex production issues across traditional and AI systems Required Qualifications Tech Stack Core: Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, Docker AI & Integration: Python, MCP, AWS Bedrock, LangGraph/Semantic Kernel, Vector Databases, RAG Core Technical Skills 5+ years professional development with proven track record of delivering complex systems Strong Node.js and JavaScript/TypeScript expertise Advanced React and frontend architecture skills Extensive AWS architecture experience Expert PostgreSQL database design, optimization, and performance tuning Deep understanding of microservices, distributed systems, and

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Hardware Manufacturing Test Engineer at Everpure, you will spearhead manufacturing test enablement for our next-generation enterprise hardware platforms from New Product Introduction (NPI) through high-volume production ramp. Operating with high autonomy, you will design robust test strategies and collaborate cross-functionally with Firmware, Diagnostics, and global factory teams to deliver market-ready, high-yield hardware infrastructure. Your expertise will directly optimize manufacturing throughput, improve release quality, and accelerate the global deployment of the industry-defining Everpure Platform. WHAT YOU'LL DO Own NPI & Sustaining Test Readiness: Drive end-to-end manufacturing test strategy, test sequence definition, and coverage validation for multiple hardware infrastructure variants to ensure seamless factory execution and build readiness. Lead Debug & Yield Optimization: Independently lead technical triage and resolve complex system-level test fallout during critical build phases, analyzing failure paretos to isolate root causes across hardware, firmware, and test infrastructure. Scale Test Architecture & Frameworks: Enhance and standardize the Design for Manufacturing (DFM) hardware test architecture by deploying reusable automation frameworks and consolidating test execution into shared platforms to minimize factory cycle times. Drive Vendor & Cross-Functional Alignment: Colla

Role Overview Build reliable software services that power products, platforms, and business decisions. As a Senior Software Developer, you’ll design and deliver scalable applications, backend services, and integrations that perform well in production and evolve with changing business needs. You’ll apply strong software engineering practices across APIs, data-intensive applications, cloud services, AI-enabled solutions, and deployment pipelines. You’ll help shape technical solutions, improve system reliability, and contribute to a high-quality engineering culture. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and develop scalable backend services and applications using Python or TypeScript. Lead the development of APIs, integrations, reusable software components, and AI-enabled features. Build reliable solutions for data ingestion, manipulation, service-to-service communication, and intelligent automation. Apply AI technologies and modern software engineering practices to improve product capabilities, developer productivity, and operational efficiency. Make sound technical decisions around architecture, performance, security, scalability, and maintainability. Deploy and operate applications using AWS services and CI/CD practices while improving testing, monitoring, documentation, and delivery standards. These are the essentials you’ll need to get an interview 5+ years of professional experience developing and delivering production software. Strong hands-on experience with Python; TypeScript or similar languages is also valuable. Proven experience building backend services, APIs, integrations, and service-oriented applications. Experience applying AI technologies, such as generative AI, machine learning services, intelligent automation, or AI-enabled application features. Strong understanding of software design principles, testing, debugging, performance optimization, and secure development. Experience working with cloud platfor

MeltPlan | Planning Engine for the Built Environment MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders. MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn health-tech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution. What This Role Really Is Code writing is a commodity. We’re not hiring someone to close tickets. We’re hiring someone who: Is biased toward building Thinks in systems Designs for scale and resilience Reviews architecture, not just PRs Can move fast without creating long-term mess You’ll ship products daily. You’ll also help shape the system so it doesn’t collapse under growth. What You’ll Do Build end-to-end features (DB → API → UI) Design scalable data models and backend architecture Ship clean, production-grade frontend experiences Review and improve system design decisions Work directly with founders on product direction Help define engineering standards as we scale What We’re Looking For Strong backend fundamentals (APIs, databases, performance, system desi

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! About the Team You will be part of a highly skilled distributed team that takes care of data enrichment platform responsible for data enrichment pipelines and for supporting bulk exports to clients and search partners. The team primarily involves in generating large-scale datasets for exporting to internal and external consumers. .We are interested in engineers who are hands-on and willing to dig into tough problems. We love people who are willing to explore new areas, learn quickly, and apply their skills to challenging issues How you’ll make an impact: - Design, d

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! We are the Silicon Power Team within the Silicon Co-Design Group. We architect and deliver groundbreaking solutions for productizing NVIDIA's chips across consumer, professional, server, embedded, mobile, and automotive markets. Silicon characterization, correlation to arch and design expectations, product spec finalization, and productization techniques and infrastructure are our day-to-day work — always on the bleeding edge of the industry. Small decisions here have outsized impact on performance, efficiency, reliability, bring-up speed, and ultimately what the product delivers in the field. We are hiring a Senior Silicon Power Engineer to own power-feature productization on a flagship silicon program. This is not a coordination role, and it is not a compliance role — it is the seat where power features either work at scale or become the reason a program slips. The two highest-leverage problems in this seat: Close the hardest multi-functional power failures before they gate a program. Take ambiguous, cross-boundary issues across architecture, firmware, validation, and platform to root-cause closure — with productized fixes and reusable methodology the next program can inherit. Build AI-enabled characterization as a real capability, not a demo. Every bring-up generates terabytes of characterization, shmoo, and telemetry data. Deploy AI workflows for data analysis, metric extraction, trend detection, and cross-bring-up correlation — with the guardrails and validation discipline to make them trustworthy enough to gate production decisions! <

NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Senior Solution Architect with full-stack software engineering experience to join our team and play an important role in developing Sales AI applications. This position offers the opportunity to design, build, and evolve solutions that bring generative AI and intelligent workflows into everyday sales experiences. You will work across the application stack and collaborate with Product, AI and machine learning, Data, Security, Solution Architecture, and Engineering teams to deliver secure, reliable, and scalable solutions used globally. What you’ll be doing: Collaborate with application teams to design, develop, and maintain scalable full-stack solutions for enterprise sales workflows. Guide technical solutions across front-end, back-end, APIs, data services, integrations, and cloud infrastructure. Translate product requirements and business needs into secure, maintainable solutions and intuitive user experiences. Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications. Design application architectures that support performance, availability, observability, security, scalability, and long-term maintainability. Lead technical design discussions, compare implementation approaches, make informed architecture decisions, and evaluate emerging technologies. Improve engineering practices for testing, code quality, continuous integration and delivery, monitoring, documentation, and production readiness. Investigate complex issues and develop solutions that improve reliability and user experience. Mentor engineers, share technical knowledge, and contribute to engineering standards and collaborative team practices. What we need to see: <

Job Details: Job Description: In this role, you'll build software capabilities to automate the build, test, and deployment of Intel's Process Design Kit (PDK). A PDK is a collection of artifacts representing Intel's semiconductor process, used by product designers to model, implement, and verify Intel's mobile, desktop, and server products before manufacturing. You'll be a member of the Design Technology Platform organization, working closely with teams in the United States, Bangalore, and Penang to build world-class DevOps infrastructure that shapes the future of deploying PDKs to silicon product development teams at Intel. Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or another closely related field. 7-12 years of experience with a Bachelor's degree or Master's degree in software development and engineering. Excellent Python programming skills. Expert-level knowledge of pytest concepts. Expert-level experience with GitHub-based Jenkins CI/CD deployment, enablement, and debugging. Proven knowledge of Agile software engineering practices, IT environments, and DevOps principles and processes. Excellent debugging and problem-solving skills. Excellent written and verbal communication skills; ability to present complex issues with clarity to drive decisions. Must have hands-on experience with AI tools and demonstrated experience building AI agents/tools. Exposure to VLSI PDK domain is preferred. Strong team player with proven ability to collaborate effectively across cross-functional and geographically distributed teams. Job Type: Experienced Hire Shift: Shift 1

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist-2 Overview Product Data & Analytics is a centralized global team that enables Mastercard product business units to make better data‑driven decisions. We build internal analytics partnerships that strengthen focus on business performance, portfolio and revenue optimization, initiative tracking, new product development, and go‑to‑market strategies. These capabilities are underpinned by our data platforms that enable insights to be delivered in a standardized, scalable, and cost‑efficient manner. Key Responsibilities Strategic Support • Design and implement value enablement frameworks that optimize pricing strategies, enhance pre-sales propositions, and ensure customer success. • Collaborate with global and regional teams to tailor solutions that meet regional business needs and align with Mastercard's objectives. • Provide data-driven insights and recommendations to optimize pricing, pre-sales strategies, and customer success outcomes. • Develop frameworks, project structures, and presentations to communicate key strategic initiatives. • Conduct data integrity checks and ensure quality and reliability in data used for analysis. • Translate complex business problems into analytical solutions that support strategic decision-making. Technical Leadersh

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. About the role: As a Senior Software Engineer working on the Appian platform, your mission will be to ensure Appian is always fast, scalable and up to whatever tasks our customers configure it to do. You will be focused on designing, developing, and maintaining complex software systems while providing technical leadership and mentorship and building a product capable of serving our customers in ways you never imagined. This role includes not just deep coding expertise, but also a focus on system orchestration, using AI Tools and AI integration (like RAG, agentic workflows, MCP), and aligning technical decisions with business strategy. Key Responsibilities The SSE isn't just "faster at coding"—they are responsible for the health of the entire codebase and the growth of the team. Code Quality & Standards: Set and enforce the "gold standard" for clean, maintainable, and well-documented code across the repository. Architecture & Design: Leading high-level design sessions, choosing architectural patterns (Microservices, Serverless, Event-driven), and ensuring systems are scalable and secure. Developer Enablement: Create internal tooling and "Golden Paths" that abstract away the complexity of underlying infrastructure for feature teams. Technical Leadership: Mentoring junior engineers, conducting rigorous code reviews, , setting the "gold standard" for clean, maintainable, and well-documented code across the repository. Project Ownership: Driving features from requirement analysis through depl

Job Summary Reporting to the Memory Validation leadership team, the Senior Silicon DDR/HBM Validation Engineer will be responsible for the bring-up, validation, characterization and debug of advanced memory subsystems used in next-generation AI compute platforms. The role will focus on DDR and HBM technologies, working closely with silicon design, firmware, characterization, platform and systems teams to ensure robust memory subsystem functionality, performance and reliability. The successful candidate will take ownership of significant validation activities, contribute to debug and root-cause analysis efforts, and help improve validation methodologies, automation and infrastructure. The Team The Memory Validation team sits within the Validation organisation and is responsible for the bring-up, validation, characterization and debug of memory subsystems across Graphcore silicon and platform products. The team supports DDR and HBM validation activities throughout the product lifecycle, from first silicon through production readiness. Engineers work closely with architecture, RTL, firmware, characterization, systems and platform teams to ensure memory technologies meet functionality, performance, reliability and performance objectives. Responsibilities and Duties Execute validation and bring-up activities for DDR and HBM memory subsystems Verify memory bring-up software, firmware and scripts against defined project requirements Debug firmware, hardware and system-level issues and contribute to root-cause analysis activities Analyse system logs, validation data and characterization results to identify failures and performance issues Perform PHY characterization and analog-level analysis during stress testing and validation activities Develop and execute functional, stress, performance and corner-case validation tests Perform signal integrity, voltage, frequency and timing measurements using laboratory instrumentation Char

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Senior Backend Java Developer Position Summary TEGNA is looking for an experienced Senior Backend Java Developer to join our highly collaborative and agile engineering team. This role is ideal for someone who enjoys solving complex technical challenges and building scalable backend platforms in high-performance environments. You will work on designing and developing cloud-native applications and distributed systems while collaborating across engineering teams to deliver reliable and innovative solutions. What You’ll Do • Design, develop, and implement scalable backend services using Java, Spring Boot, and AWS. • Build and optimize microservices-based architectures to support high-performance applications. • Develop reliable and scalable solutions for distributed systems operating in high-traffic environments. • Partner with cross-functional teams to understand requirements and deliver quality solutions. • Improve application performance, resiliency, scalability, and system reliability. • Participate in code reviews and contribute to engineering best practices and quality standards. • Drive continuous improvements through emerging technologies and modern development practices. • Support cloud deployment, monitoring, and operational excellence initiatives. What You’ll Bring • Bachelor’s or master’s degree in computer science, Software Engineering, or