5008 Latency Jobs - Page 34

The Role- As an AI Engineer , you will be responsible for building and optimizing AI-first solutions that power BotPenguin’s conversational and Agentic capabilities. You will work on LLM integrations, NLP pipelines, and machine learning models, while collaborating with cross-functional teams to deliver intelligent experiences at scale. This is a high-impact role that combines engineering, research, and deployment skills to solve real-world problems using artificial intelligence. What you need for this role- Education: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Experience: 2–5 years of experience working in AI/ML or related software engineering roles. Technical Skills: Strong proficiency in Python and libraries such as scikit-learn, PyTorch, TensorFlow, Transformers (Hugging Face). Hands-on experience with LLMs (OpenAI, Claude, LLaMA) and building AI agents using API integrations. Experience working with NLP tasks (intent classification, text generation, embeddings, summarization). Familiarity with Vector Databases like Pinecone, FAISS, Elastic Vector DB. Understanding of Prompt Engineering, RAG (Retrieval-Augmented Generation), and embedding generation. Proficiency in building and deploying ML models via Docker/Kubernetes or cloud services like AWS/GCP. Experience with version control systems (GitLab/GitHub) and working in Agile teams. Soft Skills: Strong analytical thinking and problem-solving capabilities. Passion for research, innovation, and applying AI to real-world use-cases. Excellent communication skills and the ability to collaborate across departments. Attention to detail with a focus on model accuracy, explainability, and performance. What you will be doing- Design, build, and optimize AI-powered chatbot features and virtual agents using state-of-the-art models. Collaborate with the Product, Backend, and UI teams to integrate intelligent workflows into the BotPenguin platform. Build, evaluate, and fine-tune language models and NLP components tailored to user use-cases. Implement context-aware chat solutions using embeddings, vector stores, and retrieval mechanisms. Create internal tools for prompt testing, versioning, and debugging AI responses. Monitor model performance metrics such as latency, hallucination rate, and user satisfaction. Explore research papers, open-source innovations, and contribute to rapid experimentation. Write clean, modular, and testable code along with clear documentation for future scalability. Any other development related tasks as required for BotPenguin. Guiding, reviewing the code written by junior members in the team. Top reasons to work with us- Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹300,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: AI: 2 years (Required) Work Location: In person

Ekyam.ai: Integrating Systems, Unleashing Intelligence - Join Our India Expansion! Are you ready to solve complex integration challenges and build the next generation of AI-driven retail technology? Ekyam.ai, headquartered in New York, US, is expanding globally and establishing its new team in India! We are looking for talented individuals like you to be foundational members of our Indian presence. Ekyam.ai is developing a groundbreaking AI-native middleware platform that connects disparate retail systems (ERP, OMS, WMS, POS, etc.) and creates a unified, real-time, vectorized data layer. We enable intelligent automation and transform how retailers leverage their data by integrating cutting-edge AI capabilities. Role We are seeking an experienced AI Developer (4–6 years) skilled in applying Large Language Models (LLMs) and building AI-driven applications to join our growing team. A significant part of this role involves designing and developing AI Agents within our platform with an initial focus on integrating external LLM APIs (e.g., OpenAI, Anthropic, Google) via sophisticated prompt engineering and RAG techniques into these agents, built using Python + FastAPI . You will architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. Furthermore, as Ekyam.ai evolves, this role offers the potential to grow into customizing and deploying LLMs in-house , so adaptability and a strong foundation in ML/LLM principles are key. Key Responsibilities AI Agent Development: Design, develop, test, and maintain the core logic for AI Agents within FastAPI services. Orchestrate agent tasks, manage state, interact with platform data/workflows, and integrate LLM capabilities. LLM API Integration & Prompt Engineering: Integrate with external LLM provider APIs . Design, implement, and rigorously test effective prompts for diverse retail-specific tasks (generation, Q&A, summarization). RAG Implementation: Implement and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents. FastAPI Microservice Development: Build and maintain the scalable FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment ( Docker, Kubernetes ). Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks. Collaboration & Future Adaptation: Work with cross-functional teams to deliver AI features. Stay updated on LLM advancements and be prepared to learn and contribute to potential future in-house LLM fine-tuning and deployment efforts. Required Skills & Qualifications 3–6 years of hands-on experience in software development with a strong focus on AI/ML application development . Demonstrable experience integrating and utilizing external LLM APIs (e.g., OpenAI, Anthropic, Google) in applications. Proven experience with Prompt Engineering techniques. Strong Python programming skills. Practical experience building and deploying RESTful APIs using FastAPI . Experience designing and implementing application logic for AI-driven features or agents . Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.). Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face (important for understanding models and future adaptation). Familiarity with cloud platforms ( AWS, GCP, or Azure ) and containerization ( Docker, Kubernetes ) for application deployment. Solid problem-solving skills and clear communication abilities. Experience working effectively in an agile environment. Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment. Bachelor's or Master's degree in Computer Science, AI, or a related field. Ability to work independently and collaborate effectively in a remote setting. Preferred Qualifications Experience with frameworks like LangChain or LlamaIndex. Experience with observability and debugging tools for LLM applications, such as LangSmith. Experience with graph databases (e.g., Neo4j) and query languages (e.g., Cypher). Experience with MLOps practices, applicable to both current application monitoring and future model lifecycle management. Experience optimizing API call performance (latency/cost) or model inference. Knowledge of AI security considerations and bias mitigation . Why Join Ekyam.ai? Be a foundational member of our new India team! This role offers a unique blend: build intelligent AI Agents leveraging cutting-edge external LLMs today, while positioning yourself at the forefront of our future plans for deeper AI customization. You'll gain expertise across the AI application stack (APIs, RAG, Agents, potential future MLOps) and collaborate within a vibrant global team shaping the future of AI in e-commerce. We offer competitive compensation that values your current skills and growth potential.

Location: Hyderabad, India Company: Radise India Type: Full-Time | On-site Experience: 2–5 years (Mid-Level); open to strong junior candidates with relevant project experience About the Role: RADISE India is a growing Civil Engineering firm in Asia Pacific (APAC) Market using innovative IoT-based sensor technology aimed at providing infrastructure owners, builders, and operators the vital information on structural behavior to help them reduce the uncertainties associated with material properties and structural capacity. RADISE India, provides a wide range of innovative engineering consulting services for infrastructure owners, builders, contractors, vendors, and operators. Our technology driven products and services are for infrastructure builders, owners & operators, government bodies, general contracting firms. Key Responsibilities: Evaluate and deploy open-source LLMs (Gemma, DeepSeek, LLaMA 3, Mistral, etc.) for use in document Q&A, natural language to SQL translation, and AI-driven insights. Implement document ingestion pipelines (PDF, Word, Excel, images) using tools like LangChain, Haystack, or LlamaIndex for chunking, embedding, and vector search. Set up and manage vector databases (e.g., pgvector). Develop RAG pipelines to connect embeddings from Azure Blob Storage files and PostgreSQL data. Build and test AI agents capable of routing user queries to either blob-based document retrieval or database querying (SQL generation). Engineer and Evaluate prompts by implementing industry standard prompt engineering techniques. Work closely with our backend team (TypeScript, Express, PostgreSQL) to expose AI capabilities as services or APIs. Benchmark cost, performance, and latency of different models and infrastructures. Support future transition to secure/compliant deployment models (FedRAMP, NIST 800-171). Collaborate with the product team to refine chat UX and identify high-impact use cases. Required Skills and Qualifications: Bachelor's or Master’s in Computer Science, AI/ML, Data Science, or related field. 2+ years of hands-on experience working with LLMs , embeddings, or NLP pipelines. Solid understanding of open-source AI stacks (Transformers, LangChain, LlamaIndex, etc.). Familiarity with vector databases and semantic search principles. Experience working with Python and optionally some TypeScript/Node.js . Comfortable working with SQL and relational databases like PostgreSQL. Strong understanding of AI infrastructure (Docker, Linux, GPU/CPU optimization, cloud deployment – Azure preferred). Must have Strong Prompt Engineering skills. Ability to read and implement research papers or GitHub repos for LLM-based applications. Preferred (Nice-to-Have): Experience deploying or fine-tuning OpenAI, LLaMA, Mistral, Falcon , or similar open-source models. Familiarity with Azure OpenAI, Azure Cognitive Search, or OpenAI APIs for benchmarking. Experience with OCR tools and document parsing pipelines. Exposure to civil engineering or construction domain data is a plus. Why Join Us? Work on cutting-edge AI applications for infrastructure and civil engineering – real-world impact. Direct mentorship from leadership (with deep engineering expertise) and cross-functional collaboration. Opportunity to experiment with and deploy models at scale across enterprise SaaS. Growth potential to lead AI initiatives across multiple product lines (SmartInfra Hub, SmartCompose.AI, etc.). Job Type: Full-time Pay: ₹800,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Experience: AI Engineer: 3 years (Preferred) Location: Hyderabad, Telangana (Required) Work Location: In person

We are seeking a skilled and experienced Golang Developer to join our AI product engineering team. You will be responsible for building scalable backend systems and APIs that power intelligent applications and services. This is a high-impact role where you’ll work closely with data scientists, AI engineers, and frontend developers to integrate AI models into production-ready software. Key Responsibilities: Design, develop, and maintain high-performance backend services in Go. Develop RESTful APIs and microservices for AI-driven applications. Integrate with machine learning models, inference pipelines, and data processing tools. Optimize system performance and ensure low-latency, high-throughput APIs. Collaborate with DevOps teams to containerize and deploy applications (Docker, Kubernetes). Work closely with AI/ML teams to convert research prototypes into scalable services. Ensure code quality through unit testing, code reviews, and best practices. Contribute to architecture decisions and scalability planning. Required Skills & Qualifications: Strong proficiency in Go (Golang) and experience in building backend services. Hands-on experience with REST APIs, microservices architecture , and distributed systems. Familiarity with AI/ML model integration (e.g., via gRPC, REST, TensorFlow Serving, or ONNX). Experience with PostgreSQL / MongoDB / Redis or other databases. Understanding of containerization (Docker) and orchestration (Kubernetes). Familiarity with message brokers like Kafka, RabbitMQ, or NATS. Experience in working with Git, CI/CD pipelines , and cloud platforms (AWS, GCP, Azure). Good understanding of concurrency patterns , performance tuning, and memory management in Go. What We Offer: Opportunity to work on cutting-edge AI solutions. Flexible and collaborative work environment. Competitive salary and benefits. Career growth and continuous learning opportunities. This is a work-from-office position. Only candidates who are willing to relocate to Trivandrum should apply.

Technical Architect About the role We’re looking for a hands-on Technical Architect who can shape end-to-end architecture for highly-scalable, low-latency applications (think tens of thousands of TPS), guide engineering teams on design best practices, and champion modern cloud-native patterns. You’ll partner with engineering managers, fellow architects, and leadership to translate business ideas into resilient, observable, and secure systems. Key responsibilities %- Focus What you’ll do 60 % Own high-level and component-level architecture for new and existing backend services (Node.js/Express, Socket.IO), balancing performance, cost, and maintainability. Provide architectural governance: lead design reviews, set coding & unit-testing standards, review pull requests, and establish reusable libraries/packages. Evaluate emerging open-source projects and cloud offerings; pilot proofs-of-concept, publish findings, and influence tech-stack evolution. 20 % Guide migration and green-field build-outs of microservices, serverless functions, and containerized workloads (EKS, Cloud Functions, Lambda, etc.). migration and green-field build-outs of microservices, serverless functions, and containerized workloads (EKS, Cloud Functions, Lambda, etc.). Drive excellence—define CI/CD pipelines, configuration management, automated quality gates, and blue-green or canary deployments. 20 % Mentor senior and mid-level engineers; foster a culture of clean code, DDD, secure coding, and performance first. Required qualifications Experience: 8–10 years in software engineering with 3+ years in an architect or staff-engineer role, designing high-TPS systems. Education: Bachelor’s / Master’s in Computer Science, Engineering, or equivalent hands-on track record. Core stack: Deep Node.js & TypeScript proficiency, Express, Socket.IO. Cloud: Hands-on AWS architecture (serverless, containers, VPC design, IAM, cost optimisation). Architectural patterns: SOA, microservices, DDD, event-driven & CQRS, high-availability / DR topologies, secure multi-tenant design. Data: Solid grounding in RDBMS + NoSQL (e.g., MySQL, MongoDB), caching, and messaging (Kafka, SQS). Quality mindset: Unit/contract testing, CI/CD, static analysis, configuration-as-code, and observability (logs, metrics, tracing). Collaboration: Proven influence across cross-functional teams, excellent written & verbal communication, ability to sell architectural trade-offs to both engineers and execs. Nice-to-have Experience publishing internal NPM modules or design-system-style component libraries. Exposure to WebSockets at scale, edge compute (Edge Workers). Prior work in gaming / fintech / real-time data domains where latency < 100 ms matters.

Brilliant Minds Never Stop Learning - Join a Team That Gets it Kognosdata Pvt. Ltd. (India Division of Petrabytes) : The Oil & Gas industry deals with complex scientific computations, massive datasets, and real-time decision-making challenges. Traditional software struggles to handle these demands efficiently. At Petrabytes (Kognosdata Pvt. Ltd., India Division), we're Empowering the oil & gas industry with cutting edge scientific software. We believe in collaboration & learning as they spark innovation, drive progress and push technology forward. If you love solving real-world problems with Python we want you on our team at India Division Kognosdata Pvt. Ltd. What Youll Need : Experience : We welcome experienced developers 4+ years with strong programming & problem solving skills. Must Have Skills : - Python Programming (strong foundation required) - Version Control - SVN & GIT - Data Processing - Pandas & Numpy - Big Data - pyspark - Fast api - Data Visualization - Matplotlib & Plotly - Web Development - Flask - Speaking Skills - Managing a team - Databases (SQL & NoSQL) - Problem-Solving ability - Breaking down complex challenges - Logical Thinking Your Role in Action : - Writing efficient , scalable & maintainable Python codes - Designing and implementing robust, high-performance applications - Debugging & optimize applications to ensure low-latency and high-availability - Managing a team - Ensuring privacy best practices & data protection measures - Assess and prioritize feature requests - Collaborate with internal teams to understand user requirements and deliver technical solutions - Work independently when required , while contributing to team-driven projects At Kognosdata we foster a culture of collaboration & learning! Ready to join us? Send your résumé to: hr@kognosdata.com Job Type: Full-time Pay: Up to ₹1,662,028.90 per year Ability to commute/relocate: Banaswadi, Bengaluru, Karnataka: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Experience: Python: 4 years (Required) Work Location: In person

About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, Energy Exemplar’s mission lies in ‘Empowering Transformative Energy Decisions’. Founded in 1999 in Adelaide, Australia, our award-winning software portfolio encompassing the modeling and simulation platform PLEXOS®, Aurora, and Adapt2, is trusted by innovative organizations across the globe. Through our technology and people, we strive to enable stakeholders from across the entire energy value chain to revolutionize the energy ecosystem and to collaboratively plan and execute for a sustainable energy future with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry. Some of our recent accolades include: SaaS Company of the Year (2025) – Global Business Tech Awards. Environmental Impact Award (2025) – E+E Leaders Awards. IPPAI (Independent Power Producers Association of India) Power Awards (2025) - Winners Finalist: Platts Global Energy Awards (2024) – Grid Edge category Finalist: Reuters Global Energy Transition Awards (2024) – Technologies of Change Top 50 Marketing Team (2024) – Voted by the public at the ICON Awards. How We Work Energy Exemplar is growing fast around 30% year on year and, that growth is driven by how we work. We trust our team to deliver great results from wherever they work best, whether that’s at home, in the office, or on the move. We’re a global team that values ownership, integrity, and innovation. You’ll be supported to balance work and life in a way that works for you, and empowered to take initiative, solve problems, and make an impact, regardless of your background, location, or role. Our four core values, Customer Success, One Global Team, Integrity & Ownership, and Innovation Excellence aren’t just words. They show up in how we collaborate, how we solve, and how we grow together. About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence. Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s award-winning PLEXOS® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry: Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition Energy Exemplar has grown significantly over the past few years, and we are continuing to do so at around 30% year on year. We don’t just celebrate the excellence of our products but champion the quality of our people. They own their outcomes and perform to their best – every day. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success’ , ‘One Global Team’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always at the forefront of everything we do Candidate Requirements & Qualifications Responsible for technical development of multiple projects & products Working on data structures & algorithms, time & space complexity, OOPs Transforming Logic to Code Designing and developing UI front-end technologies. Working on web application development Developing products by using different technologies Doing optimization of Code Working on Debugging and fixing cross-browser compatibility issues and Optimization for web by using best practices Making sure that Web applications are secure DevOps transformation using Agile and SCRUM methodologies. Provide recommendations for continuous improvement. Work alongside other team members & leaders to elevate technology and consistently apply best practices. Qualifications, Skills & Experiences Minimum 5+ years of recent experience in building products on cloud Working experience of Redux is essential Experience in UI development with a minimum of two enterprise-grade JS frameworks like Angular 4+, VueJS, ReactJs or others– Proven track record of having designed and deployed large-scale & low-latency cloud-based systems Strong experience in architecting and building multi-threaded, distributed systems. Strong knowledge of data structures, algorithms, and designing for performance. Outstanding problem-solving abilities. Ability to achieve stretch goals in a highly innovative and fast paced environment. Sound business judgment, proven ability to influence others and strong analytical thinking skills. Extensive experience of mentoring junior engineers to success. Experience with Microservices Architecture Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience. Working knowledge of CI/CD pipelines and AWS/Azure cloud services is essential Very good communicator Desired but not required (not needed for every position) Hands-on experience of building products for unix systems in addition to windows is good to have Energy Exemplar is an equal opportunities employer, and we value your unique identity and perspective. We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process. Energy Exemplar is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. We welcome applications from people of all backgrounds, experiences, identities, and abilities. Please let us know if you require accommodations at any stage of the recruitment process—we're here to support you in showcasing your full potential. Energy Exemplar respects your privacy and is committed to protecting the personal data you share during the recruitment process. This Candidate Privacy Notice explains how we collect, use, and protect your personal information when you apply for a role with us.

JD Vice President – Delivery (Payments & Transaction Banking) Grade: VP Experience:18 + years Location: Goregaon,Mumbai Role Overview As Vice President – Delivery , you will lead the technology delivery of large-scale, mission-critical payments and transaction banking platforms , with a strong focus on modern tech stacks (Java, Microservices, J2EE). You will drive technical execution excellence, architecture alignment, and delivery rigor across global transformation engagements. The role requires deep technical leadership combined with domain expertise in Payments, Cash Management, and Digital Banking . Key Responsibilities Technical & Program Leadership: Lead the design, architecture, and end-to-end delivery of large tech programs in the payments and transaction banking space . Drive engineering rigor across Java-based platforms, Microservices, APIs, and integrations. Ensure scalability, reliability, and performance of platforms being delivered. Program Management: Oversee multi-stream programs , ensuring timelines, budgets, quality standards, and stakeholder alignment. Implement strong program governance, risk mitigation frameworks, and cadence reviews. Team Management: Manage large cross-functional technology teams (developers, architects, QA, DevOps). Drive performance, innovation, and a culture of engineering excellence. Stakeholder Engagement: Engage with C-level and senior stakeholders on architecture reviews, technical direction, and delivery roadmaps. Act as the escalation point for key technology delivery issues. Continuous Improvement & Best Practices: Champion DevOps, Agile/Scrum, and modern engineering principles. Lead initiatives around code quality, CI/CD, observability, and automation. Core Areas of Expertise Strong hands-on expertise in Java, Spring Boot, J2EE, Microservices architecture, and REST APIs Proven delivery of enterprise-scale payment systems, transaction platforms, and cash/channel banking applications Deep domain experience in digital payments, RTGS/NEFT, UPI, ISO20022, SWIFT, reconciliation systems Deep understanding of platform engineering , systems integration, and regulatory compliance Ability to scale large tech teams, drive modernization, and lead cloud-native transformations Key Requirements B.Tech in Computer Science or related field 18+ years of progressive experience in product engineering, platform delivery, or fintech transformation Strong technical background with hands-on or architectural exposure to Java/J2EE, Spring Boot, Microservices, Kafka, cloud platforms Demonstrated success in leading enterprise banking/payment system implementations Proficient in Agile, DevOps, SAFe , and global delivery methodologies Experience handling high-volume, low-latency, mission-critical systems PMP/Prince2 certification preferred Willingness to travel as required Personal Attributes Technically strong and detail-oriented with an engineering mindset Strategic thinker with delivery discipline and executive presence Excellent communicator with ability to engage CXO-level stakeholders Proactive, result-driven, and comfortable working in high-stakes environments

JD Vice President – Delivery (Payments & Transaction Banking) Grade: VP Experience:18 + years Location: Goregaon,Mumbai Role Overview As Vice President – Delivery , you will lead the technology delivery of large-scale, mission-critical payments and transaction banking platforms , with a strong focus on modern tech stacks (Java, Microservices, J2EE). You will drive technical execution excellence, architecture alignment, and delivery rigor across global transformation engagements. The role requires deep technical leadership combined with domain expertise in Payments, Cash Management, and Digital Banking . Key Responsibilities Technical & Program Leadership: Lead the design, architecture, and end-to-end delivery of large tech programs in the payments and transaction banking space . Drive engineering rigor across Java-based platforms, Microservices, APIs, and integrations. Ensure scalability, reliability, and performance of platforms being delivered. Program Management: Oversee multi-stream programs , ensuring timelines, budgets, quality standards, and stakeholder alignment. Implement strong program governance, risk mitigation frameworks, and cadence reviews. Team Management: Manage large cross-functional technology teams (developers, architects, QA, DevOps). Drive performance, innovation, and a culture of engineering excellence. Stakeholder Engagement: Engage with C-level and senior stakeholders on architecture reviews, technical direction, and delivery roadmaps. Act as the escalation point for key technology delivery issues. Continuous Improvement & Best Practices: Champion DevOps, Agile/Scrum, and modern engineering principles. Lead initiatives around code quality, CI/CD, observability, and automation. Core Areas of Expertise Strong hands-on expertise in Java, Spring Boot, J2EE, Microservices architecture, and REST APIs Proven delivery of enterprise-scale payment systems, transaction platforms, and cash/channel banking applications Deep domain experience in digital payments, RTGS/NEFT, UPI, ISO20022, SWIFT, reconciliation systems Deep understanding of platform engineering , systems integration, and regulatory compliance Ability to scale large tech teams, drive modernization, and lead cloud-native transformations Key Requirements B.Tech in Computer Science or related field 18+ years of progressive experience in product engineering, platform delivery, or fintech transformation Strong technical background with hands-on or architectural exposure to Java/J2EE, Spring Boot, Microservices, Kafka, cloud platforms Demonstrated success in leading enterprise banking/payment system implementations Proficient in Agile, DevOps, SAFe , and global delivery methodologies Experience handling high-volume, low-latency, mission-critical systems PMP/Prince2 certification preferred Willingness to travel as required Personal Attributes Technically strong and detail-oriented with an engineering mindset Strategic thinker with delivery discipline and executive presence Excellent communicator with ability to engage CXO-level stakeholders Proactive, result-driven, and comfortable working in high-stakes environments

Alteryx Server Platform Architect Architect and administer distributed Alteryx Server deployments with multiple worker nodes ensuring high availability elasticity and rolebased execution queues Automate endtoend analytics pipelines leveraging Alteryx workflows macros and analytic apps tightly integrated with Denodo SAP REST APIs SFTP and enterprise data lakes Implement CICD for Alteryx workflows using version control Git APIbased deployments and scripting PythonPowerShell for Gallery object promotion and audit tracking Create data quality gates and approval workflows for Alteryx job publication aligning with enterprise SDLC and data stewardship protocols Administer user tenancy studio separation and integration with Active Directory groups and external identity providers ensuring least privilege and entitlement reviews Continuously analyze server performance with internal telemetry logs and usage heatmaps to recommend computer scaling job orchestration improvements and node tuning Unified Governance Security Compliance Enforce enterprisewide data access policies lineage tracking audit logging and regulatory compliance GDPR HIPAA SOX within both Denodo and Alteryx platforms Collaborate with Data Governance Office to define and implement data classification sensitivity tagging and usage controls for virtualized and transformed datasets Lead periodic platform risk assessments including penetration testing coordination vulnerability scanning and remediation planning in alignment with InfoSec policies Define KPIs and servicelevel indicators for platform health job success rates query latency and data provisioning time produce executivelevel dashboards for operational transparency Strategic Enablement Stakeholder Management Act as SME Subject Matter Expert and trusted advisor to enterprise data teams enabling domaindriven architecture adoption using Denodo and Alteryx Design and deliver advanced training programs certifications and reusable templates for developers analysts and business users to democratize data access while ensuring governance Evaluate emerging features from Denodo and Alteryx roadmaps lead POCs and drive platform evolution in partnership with vendors procurement and architecture governance boards Facilitate platform onboarding for new business units including use case discovery integration scoping provisioning and selfservice enablement EXP : 5 to 10 Years Location : Pan India

Staff Backend Engineer – Core AI Platform Location: India (Remote) Function: Engineering – AI Platform Level: Staff Reports to: VP of Engineering / CTO About the Company We’re hiring a Staff Engineer – AI Frameworks to architect and lead the development of the foundational multi-agent infrastructure powering the next generation of intelligent systems for financial institutions. This role is not about plugging in pre-built models—it’s about designing and scaling custom AI orchestration frameworks that bind language models, memory, judgment modules, and tool use into autonomous systems that are trustworthy, composable, and policy-aligned. You’ll work at the intersection of machine learning, distributed systems, and agentic reasoning, partnering with researchers, backend engineers, and product leaders to bring real-time, LLM-driven intelligence into production at scale. This is a rare opportunity to define and build the AI runtime and execution architecture for mission-critical agents in a high-regulation, high-trust industry. About the Role We’re hiring a Staff Engineer – AI Frameworks to architect and lead the development of the foundational multi-agent infrastructure powering the next generation of intelligent systems for financial institutions. Responsibilities Architect a multi-agent AI framework for orchestrating LLMs, tools, memory, and decision modules in live user-facing systems Build and optimize low-latency, distributed inference systems that meet real-time SLAs for transactional environments Develop modular components for task planning, reward routing, fallback handling, and multi-turn reasoning Design developer-facing APIs and tooling to allow AI product teams to safely extend and compose agentic functionality Integrate vector stores, custom retrieval pipelines, model evaluators, judgment layers, and auto-tuning workflows Drive the implementation of prompt tuning, reward modeling, and LLM-as-a-Judge techniques in production loops Collaborate with research to productionize new RL, planning, or alignment strategies Establish architectural best practices for extensibility, observability, and trust in AI-enabled systems Qualifications 8+ years of backend or platform engineering experience, with at least 2 years building or deploying AI/ML systems Deep experience with Node.js, asynchronous architecture, and performance-critical backend systems Prior hands-on experience building ML models or training pipelines —you know how models learn, behave, and break Expert knowledge of LLM system design, agent architectures, and Reinforcement Learning techniques Proven track record building distributed, event-driven systems in high-throughput environments Experience building real-time inference systems that integrate LLMs with retrieval, memory, or tool use Strong systems design skills: designing modular, fault-tolerant, observable software at scale Demonstrated ability to lead architectural design and cross-functional engineering initiatives Preferred Skills Experience building multi-agent systems or intelligent orchestration engines Familiarity with vector databases, semantic search, and prompt engineering techniques Comfort integrating ML eval frameworks and offline/online experimentation pipelines Open-source contributions to LLM tooling or infrastructure a plus

Job Title: Senior Backend Developer (Python, FastAPI & MongoDB) Location : Bengaluru, India Company Overview: IAI Solution Pvt Ltd (www.iaisolution.com ),operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains. We are seeking a Senior Backend Developer who thrives in fast-paced environments, enjoys solving complex technical challenges, and is passionate about building scalable, high-performance backend systems that power real-world AI applications.. Position Summary: We are looking for a Senior Backend Developer with 3 to 5 years of professional experience in Python-based development, especially using FastAPI and MongoDB . The ideal candidate is skilled in building and maintaining scalable, high-performance back-end services and APIs, has strong understanding of modern database design (SQL & NoSQL), and has experience integrating backend services with cloud platforms. Experience or interest in AI/ML projects is a strong plus, as our products often interface with LLMs and real-time AI pipelines. Key Responsibilities: Design, build, and maintain robust backend services using Python and FastAPI . Develop and maintain scalable RESTful APIs for internal tools and third-party integrations. Work with MongoDB , PostgreSQL , and Redis to manage structured and unstructured data efficiently. Collaborate with frontend, DevOps, and AI/ML teams to deliver secure and performant backend infrastructure. Implement best practices in code architecture, performance optimization, logging, and monitoring. Ensure APIs and systems are production-ready, fault-tolerant, and scalable. Handle API versioning, documentation (Swagger/OpenAPI), and error management. Optimize queries, indexes, and DB schema for high-performance data access. Maintain clean code with emphasis on object-oriented principles and modular design. Troubleshoot production issues and deliver timely fixes and improvements. Qualifications: Overall Experience : 3 to 5 years in backend software development. Python : Strong proficiency with object-oriented programming. Frameworks : Hands-on experience with FastAPI (preferred), Django. Databases : MongoDB : Experience with schema design, aggregation pipelines, and indexing. Familiarity with SQL databases (PostgreSQL/MySQL). Experience with Redis and optionally Supabase. API Development : Proficient in building and documenting REST APIs. Strong understanding of HTTP, request lifecycles, and API security. Testing & Debugging : Strong debugging and troubleshooting skills using logs and tools. Performance & Scalability : Experience optimizing backend systems for latency, throughput, and reliability. Tools : Git, Docker, Linux commands for development environments. Must-Have Skills: Proficiency in Python and object-oriented programming Strong hands-on experience with FastAPI (or similar async frameworks) Knowledge of MongoDB for schema-less data storage and complex queries Experience building and managing REST APIs in production Comfortable working with Redis , PostgreSQL , or other data stores Experience with Dockerized environments and Git workflows Solid grasp of backend architecture , asynchronous programming, and performance tuning Ability to write clean, testable, and maintainable code Good-to-Have Skills: Experience with asynchronous programming using async/await Integration with third-party APIs (e.g., Firebase, GCP, Azure services) Basic understanding of WebSocket and real-time backend patterns Exposure to AI/ML pipelines , model APIs, or vector DBs (e.g., FAISS) Basic DevOps exposure: GitHub Actions, Docker Compose, Nginx Familiarity with JWT , OAuth2, and backend security practices Familiarity with CI/CD pipelines and versioning Basic understanding of GraphQL or gRPC is a plus Preferred Qualifications: Bachelor’s degree in Computer Science , Engineering , or a related field Demonstrated experience delivering production-grade backend services Experience working in agile teams and using tools like Jira Familiarity with Agile/Scrum methodologies and sprint cycles Interest or experience in AI/ML-integrated systems is a plus Perks & Benefits: Competitive salary with performance-based bonuses Opportunity to work on AI-integrated platforms and intelligent products Access to latest tools, cloud platforms, and learning resources Support for certifications and tech conferences Flexible working hours and hybrid work options Wellness initiatives and team-building activities Job Type: Full-time Pay: Up to ₹1,500,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Schedule: Fixed shift Ability to commute/relocate: Bangalore City, Karnataka: Reliably commute or planning to relocate before starting work (Required) Experience: Python: 1 year (Required) FastAPI: 1 year (Required) Location: Bangalore City, Karnataka (Required) Work Location: In person Speak with the employer +91 9003562294

Job Title: AI Engineer Location: Chennai, India Employment Type: Full-Time Reports To: CMD ( later to the CTO) Job Overview As our AI/ML Engineer, you will be responsible for designing and prototyping the core machine learning architectures that drive our solution. You will collaborate directly with the founder to brainstorm, evaluate, and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications in cricket and badminton. Given that this is a new domain, candidates with experience in adjacent areas (such as robotics, autonomous systems, sports analytics, surveillance, or IoT) are encouraged to apply. We value innovative problem solvers who can adapt their skills to meet our unique challenges. Key Responsibilities Architecture & Design: Propose and evaluate multiple AI/ML architectures suitable for real-time officiating tasks (object detection, event detection, trajectory prediction, and sensor fusion). Collaborate with the founder to select and iterate on the optimal architecture for our use case. Algorithm Development: Develop computer vision algorithms to detect and track critical objects (e.g., sports balls, players, court lines). Design and implement reinforcement learning (RL) models for dynamic PTZ camera control (tracking, panning, and zooming) to ensure the best camera viewpoints. Build predictive models for real-time decision-making (e.g., anticipating ball trajectories for no-ball calls, scoring events). Sensor Fusion: Integrate data from video feeds with auxiliary sensors (audio, IR, radar, etc.) to improve the accuracy and reliability of event detection. Optimize models for low-latency performance on edge devices. Prototyping & Testing: Rapidly prototype and validate AI/ML modules using real or simulated data. Work closely with the full-stack developer to integrate AI components into the broader software system. Documentation & Research: Document architecture decisions, model designs, and implementation details. Stay updated on recent research and advancements in computer vision, machine learning, and reinforcement learning, and apply relevant innovations to enhance the product. Collaboration: Participate in brainstorming sessions and technical reviews with the product management and development teams. Provide insights on potential improvements and scalability for the system as we expand from a prototype to a full-scale commercial product. Qualifications & Skill Sets Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline with a focus on machine learning, computer vision, robotics, or data science. Technical Skills: Programming Languages: Proficiency in Python and familiarity with C++. Deep Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks. Computer Vision: Hands-on experience with OpenCV, YOLO, or other object detection and tracking libraries; strong knowledge of convolutional neural networks (CNNs). Reinforcement Learning: Understanding of RL concepts and experience with frameworks such as Open AI Gym or similar; ability to prototype RL solutions for real-time control. Sensor Fusion: Familiarity with techniques to integrate and process multi-modal data (video, audio, IR, radar, etc.). Optimization for Real-Time Systems: Experience in tuning models and algorithms for low-latency, edge, or embedded deployment. Software Engineering: Ability to write clean, well-documented code and collaborate using version control systems (e.g., Git). Domain-Relevant Experience: While direct experience in sports officiating is not required, experience in adjacent fields such as: Sports Analytics: Building models for performance analysis or event detection in sports. Robotics/Autonomous Systems: Developing vision and control algorithms for real-time decision-making. Surveillance/IoT: Implementing sensor fusion techniques and real-time video analytics. Project or research experience that demonstrates your ability to solve complex problems in real-time environments is highly desirable. Soft Skills: Problem-Solving: Ability to work through challenging technical problems and innovate solutions. Collaboration: Excellent communication skills to articulate technical concepts to non-technical stakeholders and work effectively in a small, cross-functional team. Adaptability: Self-motivated and eager to learn new domains, with a proactive approach to overcoming technical challenges. Team Spirit: A willingness to contribute ideas, accept feedback, and continuously iterate on solutions. Why Join Us? Innovative Domain: Be at the forefront of merging AI with sports officiating and analytics—a field ripe for innovation. Collaborative Environment: Work directly with the founder and a lean, agile team, where your ideas directly influence the product’s direction. Growth Opportunity: Gain experience in building a product from concept to market, with room to grow as the company scales. Competitive Compensation: We offer a competitive salary with potential equity participation in a rapidly evolving startup.

Job Title: Senior Data Scientist – Data & Analytics How You Will Do It Advanced Analytics, LLMs & Modeling Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude). Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications. Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Data Strategy & Engineering Collaboration Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines. Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search). Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management. Business Impact & AI Strategy Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges. Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units. Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences. Thought Leadership & Mentorship Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements. Mentor and upskill data science team members in advanced AI techniques, including transformer models and generative AI frameworks. Contribute to strategic roadmaps for generative AI and model governance within the enterprise. Qualifications & Experience Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline. 5+ years of hands-on experience in data science, including at least 1–2 years working with LLMs or generative AI technologies. Demonstrated success in deploying machine learning and NLP solutions at scale. Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock. Technical Expertise Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), LangChain, PyTorch, and TensorFlow. Experience with prompt engineering, fine-tuning, and LLM orchestration tools. Familiarity with data storage, retrieval systems, and vector databases. Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics. Leadership & Soft Skills Strategic thinker with a strong ability to align AI initiatives to business goals. Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics. Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams. Preferred Qualifications Experience with IoT, edge analytics, or smart building systems. Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks. Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.

Job Description: We are looking for a Senior Java Developer who is passionate about building scalable backend systems and delivering high-performance applications. You will lead the development of robust software solutions, collaborate with cross-functional teams. This role requires a strong understanding of Java and Spring Boot.. Key Responsibilities: Backend Development & Architecture Design and develop multi-threaded, low-latency backend systems using JDK 21+ Architect and implement microservices with Spring Boot and Spring Cloud Build and integrate RESTful APIs, RPC protocols (gRPC, etc.), and event-driven architectures Write asynchronous processing logic using queues (RabbitMQ, Kafka) Data & Storage Design complex relational database schemas (MySQL/PostgreSQL) and write optimized SQL queries Use ORM frameworks (Hibernate/JPA) effectively Handle NoSQL databases such as MongoDB, Redis, or Cassandra for caching or distributed storage Implement data consistency strategies for distributed systems Security, Performance & Compliance Implement JWT/OAuth2-based authentication & authorization with Spring Security Write secure code following OWASP guidelines Perform profiling, JVM tuning, garbage collection optimization, and memory management Conduct load testing and bottleneck analysis (JMeter, Gatling, etc.) · Ensure GDPR, HIPAA, and other industry compliance standards for handling health data. Quality & Collaboration Practice TDD/BDD using JUnit, Mockito, Spock, or Cucumber Review and refactor code for SOLID principles, clean architecture, and design patterns Participate in architecture discussions, POC development, and technology evaluations Write technical documentation, API documentation (Swagger/OpenAPI) Required Skills and Qualifications: 8 – 10 years of experience in full-stack software development with a focus on Java . Proven experience in microservices architecture , using Spring Boot or similar frameworks. Expertise in designing and managing real-time data pipelines using technologies such as Apache Kafka , Flink , Spark , or RabbitMQ . Strong background in RESTful API design and implementation. Experience in architecting and optimizing NoSQL (MongoDB, Cassandra) databases for performance at scale. In-depth knowledge of cloud platforms – AWS and containerization tools (e.g., Docker , Kubernetes ). Proven experience working on real-time data systems in sports or similar domains (e.g., finance, telecommunications). Experience with CI/CD pipelines , automated testing, and deployment strategies. Understanding of data security , encryption, and compliance in handling sports data. Exceptional problem-solving skills with a focus on scalability, performance, and reliability. Nice to have experience with JavaScript frameworks like Angular , React.js or Vue.js . Soft Skills: Strong analytical and problem-solving skills Excellent communication and team collaboration abilities Self-motivated with the ability to work independently Attention to detail and a focus on quality Education: Bachelor's or Master’s degree in Computer Science , Software Engineering , or related technical field. Why Join Us? Chance to work with best tech-savvy people Best work culture and opportunity to work with US Client directly Be part of an exciting and dynamic project in the sports/healthcare domain. Work with cutting-edge technologies and large-scale data processing systems. Collaborative, fast-paced team environment with opportunities for professional growth. Competitive salary and benefits package.

Job Title: Generative AI Engineer Job Overview: We are on the lookout for a creative and technically proficient Generative AI Engineer to join our team. This individual will be responsible for architecting and deploying innovative AI systems centered around large language models (LLMs). The role emphasizes hands-on development in areas like prompt engineering, model customization, and real-world implementation of generative AI capabilities. As part of the team, you will help design and build applications such as AI chat interfaces, intelligent content generators, summarization engines, and other tools that utilize state-of-the-art LLM technologies. Key Responsibilities: Build, train, and implement generative AI systems using models such as GPT, BERT, LLaMA, Claude, or similar. Adapt and fine-tune pre-trained foundation models to meet specific business needs and domains. Integrate generative AI into various products, including conversational agents, summarization tools, and AI content creators. Conduct exploratory research to remain updated on the latest advancements in LLMs, prompt optimization, and multi-modal AI technologies. Prepare and manage relevant datasets for model training, evaluation, and testing. Collaborate with teams from data science, engineering, and product development to ensure smooth integration of AI models into live systems. Monitor model behavior continuously and make improvements to ensure high accuracy, low latency, and consistent reliability. Apply responsible AI principles and set up feedback mechanisms to refine model output over time. Required Skills and Qualifications: A Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical discipline. Proven experience in applying LLMs and generative AI techniques in production environments. Strong programming skills in Python and familiarity with machine learning libraries such as PyTorch, TensorFlow, and Hugging Face Transformers. Solid grounding in NLP methods, including text generation, translation, summarization, and conversational AI. Hands-on experience with techniques like prompt tuning, LoRA, PEFT, and RLHF for fine-tuning models. Understanding of cloud-based deployment using platforms such as AWS, GCP, or Azure. Strong analytical and debugging skills, with attention to performance tuning and cost optimization. Knowledge of MLOps best practices, including model version control (e.g., MLflow, Git), and container technologies like Docker and Kubernetes is advantageous.

Join DAZN – The Ultimate Sports Streaming Experience! DAZN is revolutionizing the way fans experience sports with cutting-edge streaming technology. As we continue to innovate, we are looking for a Solutions Architect – Streaming & OTT to design and optimize high-performance video streaming architectures. If you have 10+ years of experience in streaming/OTT solutions, encoding, CDN distribution, and playback services, we’d love to hear from you! 📩 Interested? Apply now by sharing your updated resume, current & expected CTC, and notice period. Let’s shape the future of sports streaming together! 🚀 Job Title: Solutions Architect – Streaming & OTT Location: Hyderabad Role Overview: We are looking for an experienced Solutions Architect – Streaming & OTT to design, optimize, and support scalable, high-performance video streaming architectures. The ideal candidate will have a deep understanding of end-to-end streaming workflows, encoding/transcoding pipelines, packaging, CDN distribution, and playback services while ensuring seamless content delivery across a variety of devices and platforms. Key Responsibilities: Architect and implement end-to-end streaming solutions , ensuring high availability, low latency, and scalability. Define technical roadmaps for streaming infrastructure, aligning with business and operational goals. Optimize video encoding/transcoding pipelines for live and VOD content, ensuring optimal compression efficiency without quality loss. Design and implement adaptive bitrate (ABR) streaming strategies to optimize playback across different devices and network conditions. Architect and integrate multi-CDN strategies , ensuring resilience, redundancy, and global distribution efficiency. Design and oversee OTT packaging workflows (HLS, DASH, CMAF) and DRM integration for content security. Provide third-line technical support for streaming technologies, debugging complex playback, latency, and delivery issues. Work closely with backend, player, and DevOps teams to ensure seamless integration of playback services and analytics solutions . Stay ahead of emerging trends and advancements in streaming technology, contributing to strategic initiatives and innovation. Technical Expertise Required: 10+ years of experience in streaming/OTT industry , with a focus on solution architecture and design . Proven track record in designing and deploying scalable, high-performance streaming solutions . Hands-on expertise in video encoding/transcoding (FFmpeg, AWS Media Services, Elemental, Harmonic, etc.). Strong knowledge of OTT packaging standards (HLS, MPEG-DASH, CMAF) and DRM solutions (Widevine, FairPlay, PlayReady). Experience working with Content Delivery Networks (CDNs) (Akamai, CloudFront, Fastly, etc.) and designing multi-CDN architectures . Deep understanding of video player technologies, ABR streaming, and low-latency playback optimizations . Experience in designing and maintaining backend playback services with APIs for content discovery, recommendations, and analytics. Familiarity with cloud-based media workflows (AWS, GCP, Azure) and Infrastructure as Code (IaC) methodologies. Proficiency in networking, HTTP streaming protocols (RTMP, HLS, DASH), and caching strategies for optimal content delivery. Experience with monitoring and troubleshooting tools (QoE/QoS analytics, log aggregators, and network diagnostics). Bonus: Prior experience in live sports streaming with expertise in ultra-low latency streaming (WebRTC, LL-HLS, CMAF-CTE)

Location: Bangalore - Karnataka, India - EOIZ Industrial Area Job Family: Engineering Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T3(B) Job ID: R-46389-2025 Description & Requirements Introduction: A Career at HARMAN Automotive We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career. Engineer audio systems and integrated technology platforms that augment the driving experience Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence Advance in-vehicle infotainment, safety, efficiency, and enjoyment About the Role We're seeking an experienced C++ Developer with 6 to 9 years of experience to join our team, focusing on Android Auto and CarPlay development. The ideal candidate will have a strong background in C++ programming and experience with Android Auto and CarPlay platforms. What You Will Do 1. C++ Application Development: Design, develop, and test C++ applications for Android Auto and CarPlay platforms. 2. API Integration: Implement and integrate Android Auto and CarPlay APIs, including audio, video, and control interfaces. 3. Performance Optimization: Optimize application performance, ensuring low latency and high-quality audio/video playback. 4. Debugging and Troubleshooting: Debug and troubleshoot issues using various tools, including logcat, gdb, and valgrind. 5. Code Reviews: Participate in code reviews, ensuring high-quality, maintainable, and efficient code. What You Need to Be Successful 1. Technical Skills: 6 to 9 years of experience in C++ programming Strong understanding of C++11/C++14 features and best practices Experience with Android Auto and CarPlay development, including API integration and application development 2. Development Experience: Familiarity with audio and video processing, including codecs, containers, and streaming protocols Experience with debugging and troubleshooting tools 3. Problem-Solving Skills: Excellent problem-solving skills, with the ability to work independently and collaboratively Bonus Points if You Have 1. Additional Programming Languages: Experience with other programming languages, such as Java, Python, or C#. 2. Automotive-Grade Linux: Familiarity with automotive-grade Linux, including Yocto and GENIVI. 3. Automotive Connectivity Protocols: Knowledge of Bluetooth, USB, and other automotive connectivity protocols. 4. Testing Frameworks: Experience with testing frameworks, such as Google Test or CppUTest. 5. Version Control Systems: Familiarity with version control systems, such as Git or SVN. What Makes You Eligible 1. Relevant Experience: 6 to 9 years of experience in C++ programming, with a focus on Android Auto and CarPlay development. 2. Technical Expertise: Strong technical skills in C++ programming, Android Auto, and CarPlay development. 3. Problem-Solving Abilities: Ability to analyze and resolve complex technical issues. 4. Collaboration Skills: Ability to work independently and collaboratively with cross-functional teams. What We Offer Competitive salary and benefits package Opportunities for professional growth and development Collaborative and dynamic work environment Access to cutting-edge technologies and tools Recognition and rewards for outstanding performance through BeBrilliant Chance to work with a renowned German OEM You are expected to work all 5 days in a week in office You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)

Location: Bangalore - Karnataka, India - EOIZ Industrial Area Job Family: Engineering Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T3(A) Job ID: R-46388-2025 Description & Requirements Introduction: A Career at HARMAN Automotive We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career. Engineer audio systems and integrated technology platforms that augment the driving experience Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence Advance in-vehicle infotainment, safety, efficiency, and enjoyment About the Role We're seeking an experienced C++ Developer with 3 to 6 years of experience to join our team, focusing on Android Auto and CarPlay development. The ideal candidate will have a strong background in C++ programming and experience with Android Auto and CarPlay platforms. What You Will Do 1. C++ Application Development: Design, develop, and test C++ applications for Android Auto and CarPlay platforms. 2. API Integration: Implement and integrate Android Auto and CarPlay APIs, including audio, video, and control interfaces. 3. Performance Optimization: Optimize application performance, ensuring low latency and high-quality audio/video playback. 4. Debugging and Troubleshooting: Debug and troubleshoot issues using various tools, including logcat, gdb, and valgrind. 5. Code Reviews: Participate in code reviews, ensuring high-quality, maintainable, and efficient code. What You Need to Be Successful 1. Technical Skills: 3+ years of experience in C++ programming Strong understanding of C++11/C++14 features and best practices Experience with Android Auto and CarPlay development, including API integration and application development 2. Development Experience: Familiarity with audio and video processing, including codecs, containers, and streaming protocols Experience with debugging and troubleshooting tools 3. Problem-Solving Skills: Excellent problem-solving skills, with the ability to work independently and collaboratively Bonus Points if You Have 1. Additional Programming Languages: Experience with other programming languages, such as Java, Python, or C#. 2. Automotive-Grade Linux: Familiarity with automotive-grade Linux, including Yocto and GENIVI. 3. Automotive Connectivity Protocols: Knowledge of Bluetooth, USB, and other automotive connectivity protocols. 4. Testing Frameworks: Experience with testing frameworks, such as Google Test or CppUTest. 5. Version Control Systems: Familiarity with version control systems, such as Git or SVN. What Makes You Eligible 1. Relevant Experience: 3 to 6 years of experience in C++ programming, with a focus on Android Auto and CarPlay development. 2. Technical Expertise: Strong technical skills in C++ programming, Android Auto, and CarPlay development. 3. Problem-Solving Abilities: Ability to analyze and resolve complex technical issues. 4. Collaboration Skills: Ability to work independently and collaboratively with cross-functional teams. What We Offer Competitive salary and benefits package Opportunities for professional growth and development Collaborative and dynamic work environment Access to cutting-edge technologies and tools Recognition and rewards for outstanding performance through BeBrilliant Chance to work with a renowned German OEM You are expected to work all 5 days in a week in office You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)

About the Job Company Description: www.nuagebiz.tech At Nuage we develop customized digital solutions for various business needs. Our mission is to help our clients achieve their goals by using the most suitable and innovative technologies for their specific challenges. We are committed to delivering high-quality services and products that meet or exceed our clients’ expectations. We are a mix of young and not-so-young techies and innovators specializing as designers, analysts, architects and coders, working to achieve growth by delivering what our customers need. Job Description: We are looking for a Senior Python Developer with 6+ years of experience , including hands-on development using Python for at least 4 years. This is a high-impact role for a self-driven professional with an analytical mind, passion for problem-solving, and strong coding skills. You will be a key part of our analytical product development team , writing high-performance application code and collaborating with frontend engineers and product stakeholders. You must bring a detail-oriented mindset, a collaborative spirit, and an appetite for growth and innovation. Key Responsibilities: Write reusable, testable, and efficient Python code Design and implement low-latency, high-availability, and high-performance applications Integrate front-end elements into backend logic Ensure application security and data protection standards Work with multiple data sources and databases in a unified system Collaborate with cross-functional teams to ship new features and functionality Contribute to code reviews, technical discussions, and knowledge sharing Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field 6+ years of experience in IT, with a minimum of 4 years working on Python Strong grasp of Flask and FastAPI frameworks Experience with event-driven programming in Python Knowledge of user authentication and authorization across multiple systems Understanding of scalable architecture and design principles Familiarity with code versioning tools like Git, Mercurial, or SVN Ability to optimize outputs for different delivery platforms (desktop, mobile) Excellent time management, communication, and multitasking skills A collaborative mindset and strong interpersonal skills

Job Title: IIT AI Engineer – Scalable Agent Architectures Location: Remote (Preference for IST or EST overlap) Company: EZAIX Type: Full-time Level: Senior / Principal About the Role EZAIX is building the future of connected enterprise intelligence — where AI agents don’t just respond, they act. We are looking for an experienced AI Engineer to help us architect and implement highly scalable, event-driven, multi-agent systems for real-world enterprise automation and collaboration. You’ll work at the intersection of LLM infrastructure, Azure-native microservices, and agent orchestration frameworks (LangGraph, LangChain) to create dynamic, tool-using, streaming-first systems that can reason, route, and respond across business workflows. Your Mission • Architect and build AI-first microservices that power intelligent enterprise workflows • Design and implement LangGraph/LangChain-based AI agents that invoke tools, handle context, and collaborate over stateful graphs • Tune and orchestrate open-source LLMs (LLaMA 2/3, Mistral, Mixtral) via LoRA/fine-tuning for task-specific performance • Implement function-calling and streaming responses for dynamic, low-latency user experiences • Connect vectorized knowledge using Azure AI Search / FAISS / Chroma and build robust retrieval-augmented generation (RAG) pipelines • Build and test event-driven architectures using Azure Service Bus, Event Hubs, and serverless platforms like Azure Functions & Logic Apps • Own end-to-end model evaluation using LLM-eval, RAG benchmarks, prompt testing, and hallucination reduction strategies Core Requirements Architecture & Backend Skills • Strong grasp of microservices and event-driven design • Expertise in Azure Service Bus, Event Hubs, Azure Functions, Logic Apps • Solid backend experience with FastAPI, Django REST, or equivalent • Deep knowledge of Async IO, concurrency primitives (asyncio, trio) for scalable API design AI/LLM Stack • Experience with LangGraph, LangChain, or equivalent agent routing frameworks • Experience building multi-step agents that stream, invoke tools, and track state • Comfort with fine-tuning LLMs (LoRA, PEFT) on open-source models • Deep experience with prompt engineering, evaluation frameworks, and RAG pipelines • Practical implementation of vector databases like Azure AI Search, FAISS, or Chroma Nice to Have • Prior work with multi-agent orchestration and tool-switching logic • Familiarity with observability for AI agents (tracing, logging, telemetry in distributed AI systems) • Contributions to open-source LangChain / LangGraph or AI agent frameworks • Familiarity with Microsoft Copilot stack, Azure OpenAI, or Cognitive Services • DevOps familiarity with CI/CD and deployment on Azure Kubernetes or App Services What You'll Get • Opportunity to build cutting-edge AI systems with real enterprise impact • Work directly with founders and top-tier customers across industries • Freedom to experiment with latest OSS models and frameworks • Transparent roadmap, fast execution, global product footprint How to Apply If you're passionate about connected AI systems, LLM agents, and solving real problems at scale — we want to hear from you. Send your GitHub/portfolio, a short note, and your favorite agent architecture idea.

Company Description About Sutherland Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise. We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence. We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model. For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships. Sutherland Unlocking digital performance. Delivering measurable results. Job Description We are hiring a quality-focused AI Tester to design and execute validation frameworks for AI models and systems. Reporting to the AI Manager, this role ensures that AI solutions meet accuracy, performance, reliability, and ethical compliance benchmarks before production deployment. Key Responsibilities: Develop and execute test plans and cases for AI/ML models, GenAI solutions, and agent-based systems. Validate model outputs for accuracy, precision, recall, latency, and interpretability across diverse datasets. Conduct bias testing, data drift analysis, and adversarial robustness validation. Collaborate with AI developers, data scientists, and business analysts to define acceptance criteria. Automate testing pipelines and integrate with CI/CD environments where applicable. Maintain traceability matrices, defect logs, and model validation documentation. Qualifications Required Qualifications: 3–5 years of experience in software testing or QA, with at least 1–2 years in AI/ML or data-centric testing. Strong understanding of AI model evaluation metrics, data sampling, and validation techniques. Experience using testing frameworks (e.g., PyTest, Great Expectations) and visualization tools. Familiarity with Python, JSON, and REST APIs. Bachelor’s degree in Computer Science, Statistics, or a related field. Preferred Skills: Experience testing LLMs, GenAI prompts, or RAG workflows. Exposure to responsible AI frameworks and model audit practices. ISTQB or other QA certifications are a plus.

We're seeking an experienced Embedded Linux Developer to validate and quality-assure Yocto based Linux BSP across diverse SoCs (e.g., QCS6490, QRB5165, QCS8550). The ideal candidate will design and execute comprehensive test plans, drive development of test infrastructure, and collaborate with firmware/kernel teams to ensure robust, reliable SoC platform support. Role & Responsibilities Develop test plans and test cases for system, integration, and regression testing on mobile and IoT-class SoCs (e.g., camera, multimedia, networking, connectivity). Flash and boot Yocto-generated images (e.g., qcom-multimedia-image, real-time variants) on hardware evaluation kits. Validate key subsystems: bootloader, kernel, drivers (Wi Fi, Bluetooth, camera, display), power management, real-time functionality. Build and maintain automation frameworks: kernel image deployment, logging, instrumentation, hardware reset, network interfaces. Track and report software/hardware defects; work with cross-functional engineering teams to triage and resolve issues. Analyze system logs, trace output, measure boot/latency, resource utilization and performance metrics. Maintain test infrastructure and CI pipelines, ensuring reproducibility and efficiency. Contribute to documentation: test reports, acceptance criteria, qualification artifacts, and release Skills : Strong in C/C++, scripting (Python, Bash), ARM toolchain, cross-compilation Yocto & BitBake workflows, experience building BSPs and flashing images on development boards Linux kernel internals, drivers, real-time patches Experience with Qualcomm SoCs or similar ARM platforms; Hands-on knowledge of QCS/QRB platforms and multimedia pipelines Experience of working with GPIO/I2C/SPI interface, multimedia Hardware bring-up, serial consoles, bootloader debugging (U-Boot), Secure boot, OP-TEE/QSEE, root filesystem GitLab/ Jenkins / Buildbot, hardware-triggered automation Performance analysis and profiling tools Ability to measure boot time, trace latency, optimize kernel subsystems Nice-to-Have Skills Experience debugging multimedia subsystems (camera, display, audio, video pipelines). Familiarity with Debian/Ubuntu-based host build environments. Knowledge of Qualcomm-specific test tools and manifest workflows (e.g., meta-qcom-realtime, qcom-manifest) Prior work in IoT/robotics, real-time or safety-critical embedded platforms. Exposure to certification/regulatory testing (e.g., FCC, Bluetooth SIG, Wi Fi Alliance). (ref:hirist.tech)

Key Responsibilities Install, configure, and maintain routers, switches, firewalls, wireless access points, and other networking hardware. Monitor network performance and troubleshoot issues related to connectivity, latency, bandwidth, and hardware/software failures. Manage and support LAN, WAN, and Internet connections, ensuring 24/7 uptime and redundancy. Administer firewalls, VPNs, and network security policies to ensure data integrity and compliance. Perform regular network maintenance and system upgrades including patches, hotfixes, and firmware updates. Manage user access, permissions, and network policies in accordance with IT and security standards. Conduct regular network security audits and assist in vulnerability assessments. Maintain network documentation including diagrams, configurations, and change logs. Collaborate with vendors, service providers, and IT staff for network-related procurement and Provide technical support to users on network-related issues and escalate where needed. Ensure backup and disaster recovery systems are in place and regularly Skills & Qualifications : Bachelors degree in Computer Science, Information Technology, or a related field. Minimum 7 years of hands-on experience in network administration and support. Strong knowledge of TCP/IP, DNS, DHCP, VPN, VLAN, routing protocols (OSPF, BGP), and subnetting. Experience with Cisco, Fortinet, Palo Alto, or similar networking equipment. Proficient in managing Windows and/or Linux-based network environments. Understanding of cybersecurity best practices and firewall configurations. Experience with network monitoring tools (e.g., PRTG, SolarWinds, Nagios). Strong troubleshooting and analytical skills. Excellent written and verbal communication Certifications : CCNA / CCNP (Cisco Certified Network Associate / Professional) CompTIA Network+ Fortinet NSE Certifications Microsoft Certified : Azure Network Engineer Associate (optional, if cloud exposure is needed) Nice To Have Exposure to cloud networking (AWS, Azure, GCP). Knowledge of VoIP, video conferencing systems, and unified communications. Experience in ITIL-based service environments (ref:hirist.tech)

Hi, This is Prashant from Triunity Software Inc Please follow me on linkedin- https://www.linkedin.com/in/usaprashantrathore/ We are looking for below role Title- IoT Firmware Engineer Location - Location : Pune (Hybrid)- Need Local Candidate Minimum Experience Required- 6 Years at-least This role involves significant hands-on R&D work in our lab, collaborating closely with mechanical engineers, product managers, and other stakeholders to develop cutting-edge IoT solutions from concept to production. KNOWLEDGE AND SKILL REQUIREMENTS Bachelor's degree in Computer Science preferred, or equivalent practical experience. Electrical Engineering background is a plus. 4+ years of experience in embedded software development and firmware programming Strong proficiency in C++ firmware development, particularly on ESP32 microcontrollers using the arduino-esp32 framework Experience maintaining and managing production fleets of IoT devices, including remote monitoring, diagnostics, and over-the-air (OTA) updates Deep understanding of IoT communication protocols, especially MQTT and Bluetooth Low Energy (BLE) Experience with Azure IoT for device management and telemetry (AWS IoT or similar platforms a plus) Experience integrating sensors, servos, and other peripherals in embedded systems Experience with communication protocol interfaces such as I2C, SPI, UART, MODBUS, CAN Strong firmware debugging and system integration capabilities Ability to work with hardware documentation and component datasheets Familiarity with debugging tools including oscilloscopes and logic analyzers helpful but not required Strong hands-on prototyping and R&D skills with embedded hardware, with experience working collaboratively in lab environments Experience with real-time operating systems (RTOS) and power management for battery-operated devices Experience with wireless communication debugging and optimization Enjoy tinkering and experimenting in areas outside of your core competencies Comfortable with Git, GitHub, and CI/CD practices for embedded development JOB RESPONSIBILITIES:- TECHNICAL Developing robust C++ firmware for ESP32-based IoT devices using the arduino-esp32 framework Managing and maintaining production fleets of IoT devices, including remote diagnostics, fleet monitoring, and coordinating OTA firmware updates Implementing and optimizing IoT communication protocols, particularly MQTT for cloud connectivity and BLE for local device interactions Delivering reliable hardware and software solutions to fielded devices Collaborating to make the best technology stack choices for embedded systems Leveraging cloud services to develop modern, reliable, low-latency systems for device management and telemetry processing Working with product and engineering leaders to define deliverable solutions for customers Owning the entire embedded hardware development lifecycle: from planning and design, to implementation and testing, followed by deployment and maintenance Troubleshooting and resolving field issues with deployed IoT devices Various other duties as assigned