{"id":"a81afc76-8128-4f59-82ec-e9a34fdb090c","company":{"id":"8ea4e607-48f3-4a44-9245-e56dacf2f7f7","company_stack":[],"company_gallery":[],"company_stats":[],"company_about_section":{"name":"Infinite Electronics","video_link":null,"description":"<p><strong>Infinite Electronics</strong></p>\r\n\r\n<p>At Infinite Electronics, we are dedicated to designing and manufacturing high-performance connectivity solutions that keep the world moving forward. 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Full Stack","description":"<p><strong>Position Name: Application Engineer</strong></p><p><strong>Location: Pune</strong>, <strong>India</strong></p><p><strong>Exempt / Non-Exempt: Exempt</strong></p><p><strong>Reports To:</strong> <strong>Sr. Manager of Software Development Engineering, US</strong></p><p><strong>Position Description:</strong></p><p>The <strong>Application Engineer </strong>is a senior full-stack engineer based in Pune, reporting to U.S. engineering leadership and working within a small AI engineering team. This is a delivery-focused role -- the primary accountability is building, shipping, and operating production-grade applications that integrate AI capabilities with human-in-the-loop workflows.</p><p>This role owns front-end and back-end implementation end-to-end, from application architecture and development through deployment, operational support, and continuous improvement. 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Experience:</strong></p><p><strong>Required Experience:</strong></p><ul><li>Bachelor's degree in computer science, Engineering, or a related technical field, or equivalent practical experience.</li><li>Strong track record <strong>designing, building, and operating complex full-stack applications in enterprise production environments</strong>, with clear ownership of <strong>reliability, performance, and operational outcomes</strong>.</li><li>Demonstrated experience <strong>building scalable front-end applications using React or Next.js with TypeScript</strong>, including <strong>advanced state management, asynchronous workflows, and complex user interaction patterns</strong>.</li><li>Proficiency in <strong>JavaScript and TypeScript across both front-end and Node.js backend development</strong>.</li><li><strong>Experience building and operating cloud-native APIs, microservices, and workflow-driven architectures</strong>, including stateful, long-running processes with retries, exception handling, event-driven patterns, and observability.</li><li><strong>Hands-on experience with generative AI, LLMs, or NLP systems</strong> integrated into production applications, including pr<strong>ompt engineering, embeddings, vector database patterns, human-in-the-loop workflows, feedback capture, and structured output validation</strong> with auditability requirements.</li><li>Experience with <strong>PostgreSQL or similar relational databases</strong>, including <strong>schema design and query optimization for production workloads</strong>.</li><li>Experience securing enterprise applications against <strong>unauthorized access, data leakage, and operational risk</strong>, including <strong>RBAC, authentication boundaries, and audit trail implementation</strong>.</li><li>Familiarity with <strong>CI/CD tooling such as GitHub Actions</strong> for <strong>deployment, versioning, and release management</strong>.</li><li>Track record of <strong>contributing meaningfully to architecture decisions, proposing and implementing engineering standards, and improving technical quality</strong> within a cross-functional delivery team.</li><li><strong>Comfortable using AI coding assistants as part of a standard development workflow</strong>, with the judgment to validate, test, and take ownership of AI-generated code in production contexts.</li></ul><p><strong>Preferred Experience:</strong></p><ul><li>Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field.</li><li>Experience designing and operating <strong>AI-integrated workflows and stateful orchestration systems in production environments</strong>, including <strong>RAG architectures and vector search platforms such as Pinecone or Azure AI Search</strong>.</li><li>Experience building <strong>automated testing, monitoring, and evaluation frameworks</strong> for complex front-end and back-end workflows.</li><li>Familiarity with <strong>both SQL and NoSQL data stores</strong>, including <strong>data persistence and schema evolution decisions at scale</strong>.</li><li>Experience integrating <strong>CMS platforms such as Sanity</strong> into production application workflows.</li><li>Familiarity with <strong>MLOps frameworks and model lifecycle management practices</strong>.</li><li>Hands-on experience within the <strong>Microsoft Azure ecosystem</strong>, including services such as <strong>Azure OpenAI, AI Foundry, App Service, Functions, Service Bus, Blob Storage, Key Vault, and Application Insights</strong>, with familiarity with <strong>Bicep for infrastructure as code</strong>. Candidates with equivalent depth on AWS or GCP are encouraged to apply.</li><li>Experience deploying and managing <strong>containerized applications using Docker or similar technologies</strong>.</li><li><strong>Experience building production applications in eCommerce</strong> or retail environments, including familiarity with personalization, search relevance, recommendation systems, or product catalog workflows.</li></ul><p><strong>Key Duties and Responsibilities:</strong></p><p><strong>Application Architecture &amp; Delivery:</strong></p><ul><li>Design and build production-grade full-stack applications integrating AI services and human-in-the-loop decisioning, spanning React/Next.js front-end experiences and API-driven backend services.</li><li>Define and implement reusable patterns for workflow orchestration, state management, structured outputs, and asynchronous front-end behavior across production applications.</li><li>Integrate applications with enterprise data sources, AI services, vector databases, and platform APIs to enable reliable, production-ready workflows.</li><li>Apply prompt engineering, embedding strategies, and retrieval patterns to deliver accurate, performant, and trustworthy AI-assisted application experiences.</li><li>Continuously evaluate emerging tools, frameworks, and architectural approaches, incorporating improvements into existing systems incrementally.</li></ul><p><strong>Reliability, Performance &amp; Operations:</strong></p><ul><li>Own operational outcomes for production applications, including reliability, scalability, performance, and operational readiness targets.</li><li>Implement and maintain monitoring, observability, tracing, and alerting frameworks to ensure operational visibility and rapid issue resolution.</li><li>Design and maintain CI/CD pipelines using tools such as GitHub Actions for deployment, versioning, and release management of application services.</li><li>Lead production incident response and root cause analysis, driving systemic improvements that reduce recurrence.</li></ul><p><strong>Governance, Security &amp; Compliance:</strong></p><ul><li>Implement human-in-the-loop controls, validation mechanisms, and structured output enforcement to ensure trusted and auditable AI-assisted workflows.</li><li>Enforce RBAC, authentication boundaries, and audit trail requirements to protect sensitive data and meet compliance standards.</li><li>Secure applications against prompt injection, unauthorized access, and data leakage, aligning with enterprise security standards.</li></ul><p><strong>Collaboration &amp; Mentorship:</strong></p><ul><li>Works closely with U.S.-based engineering, product, and AI teams across time zones, translating requirements into technical solutions and surfacing tradeoffs early to keep delivery on track.</li><li>Provides technical guidance and code review to engineers within the Pune team, helping raise overall engineering quality through hands-on feedback rather than formal management.</li><li>Communicate technical tradeoffs, status, and architectural decisions clearly across technical and non-technical audiences.</li></ul>","employment_type":"Full-Time","industry":"","job_template":false,"country":{"name":"India","country_code":"IN","region":"Asia"},"is_job_displayable":true,"job_url":"https://talent500.com/jobs/infinite-electronics/application-engineer-full-stack-pune-T500-25003","created_at":"2026-04-06T14:33:34.553777+05:30","updated_at":"2026-05-01T00:55:47.991389+05:30","title_alias_1":"Application Engineer - Full Stack","slug":"application-engineer-full-stack-pune-T500-25003","summary":null,"typical_workday":null,"what_you_offer":null,"what_you_need_to_succeed":null,"responsibilities":null,"type":null,"min_experience_years":6,"max_experience_years":9,"ctc_unit":"LPA","is_featured_job":false,"is_active":true,"job_code":"T500-25003","external_id":36565,"external_job_code":"IEACE_02","is_anonymized":false,"mercurial_skills":null,"open_date":"2026-04-01T23:19:27.821801+05:30","published_at":"2026-04-06T14:33:33.843644+05:30","anonymization_needed":null,"anonymized_description":null,"xml_feed_anonymization":null,"unregistered_user_anonymization":null,"registered_user_anonymization":null,"pre_application_email_anonymization":null,"mettl_account":null,"job_table_sub_head":null,"job_table_short_desc":null,"is_remote":null,"job_video":null,"job_video_title":null,"job_video_description":null,"job_image_url":"https://wattt.s3.ap-south-1.amazonaws.com/PRODUCTION/T500-25003.png","role_summary":"<p><strong>About Infinite Electronics:</strong></p><p>Infinite Electronics is a global manufacturer of high-performance connectivity solutions, serving customers across a wide range of industries. With deep engineering expertise and a focus on precision-built components and assemblies, the company partners closely with customers to address complex, real-world challenges and accelerate product innovation.</p><p><strong>About Infinite India (GCC):</strong></p><p>Infinite is establishing its India Global Capability Center (GCC) in Pune to expand its engineering, digital, and customer service capabilities. This center will play an important role in supporting mission-critical initiatives while working in close collaboration with global stakeholders.</p><p>This is an opportunity to be part of the early team shaping how the center operates — influencing technology standards, scalable processes, and collaborative ways of working from the outset. 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