Ai Application Packaging Engineer in India

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. About the Role As an Agent / AI Engineer , you will build the AI layer of the GCC Intelligence Platform—the conversational agent users interact with. You will own grounding, retrieval, persona routing, session state, and permission-aware querying so the agent stays accurate, secure, and tenant-safe. What You’ll Do LLM & Agent Integration Integrate LLM APIs (e.g., AzureOpenAIor equivalent) for conversational workflows. • Build a grounding layer that anchors responses to real platform data (not model guesses). • Maintain prompt templates across multiple personas and use-cases. Retrieval, Permissions & Security Boundaries Implement intent classification and persona routing to the right KPI views. • Build the API

Role: Senior AI Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About the Role GHX is building a cutting-edge LLM-powered document understanding platform focused on classification, structured data extraction, and intelligent orchestration at scale. This is a high-impact AI engineering role where you will own the full lifecycle—from problem framing to production deployment . Initially, you will focus on prompt engineering and evaluation systems , building the quality foundation for AI performance. Over time, the role expands into agent orchestration, system architecture, and migration of rule-based systems to LLM-driven pipelines . A strong foundation in software engineering (5+ years) is essential. This role demands engineering rigor across both traditional system design and AI system behavior . Core Responsibilities 1. Prompt Engineering Design prompts for diverse document classification and extraction tasks Treat prompts as formal specifications (precise, structured, and edge-case-aware) Develop few-shot, chain-of-thought, and structured output templates Manage prompt lifecycle: versioning, testing, and rollback 2. LLM Output Evaluation Create and maintain ground truth datasets Build automated evaluation pipelines (precision, recall, field-level accuracy) Identify and resolve conceptually incorrect outputs despite surface correctness 3. AI Agent Orchestration Design multi-agent workflows for document processing Implement tool-use patterns and integrate MCP servers Optimize orchestration for scale and efficiency 4. Software Engineering Develop production-grade APIs and backend services Apply Clean Architecture / DDD principles Write maintainable, testable Python code Contribute to CI/CD, deployment, and observability systems 5. Stakeholder Collaboration Act as a bridge between business stakeholders and AI systems Translate product requirements into technical architectures Communicate system behavior, limitations, and quality

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. AI native product is fundamentally different engineering problem than building deterministic software: the same input won't always produce the same output, and "working" means the agent behaves well across the full distribution of real world scenarios, not that it passes a fixed test suite. We're looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by professionals at enterprise. You're comfortable working with modern LLM-based systems and agentic workflows, and you know how to turn powerful models into reliable product features. You have strong product judgment and think deeply about tradeoffs between LLM approaches and traditional ML when designing solutions. You care about evaluation, iteration speed, and making sure AI systems actually drive measurable business impact reliably . What you'll do Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring. Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design Design and ship targeted behavior improvements, including changes to prompting, cont

Fiduciary Trust International is a premier investment and wealth management firm with a commitment to growing and protecting wealth across generations. We offer a dynamic and collaborative approach to managing wealth for high-net-worth and ultra high-net-worth individuals and families, family offices, endowments, foundations, and institutions. Our investment managers, tax and estate planning professionals work together to develop holistic strategies to optimize clients’ portfolios while mitigating the impact of taxes on their wealth. As a fiduciary, the guidance we provide is in the best interests of our clients, without conflict or competing benefits. We offer boutique customization and deep expertise in specialized investment, tax and planning strategies alongside sophisticated technology and custody platforms. Fiduciary Trust International is owned by Franklin Templeton, a dynamic firm that spans asset management, wealth management, and fintech, giving us many ways to help investors make progress toward their goals. With clients in over 150 countries and offices on six continents, you’ll get exposed to different cultures, people, and business development happening around the world. About the Department: Our AI Engineering team develops and scales production-ready Generative AI and Agentic AI solutions that help solve complex business challenges and accelerate innovation across the organization. The team brings together AI engineers, architects, and business stakeholders who work collaboratively to design, build, and deploy secure, enterprise-grade solutions on Microsoft Azure. Joining this team offers opportunities to work with emerging technologies, influence AI standards and best practices, and contribute to high-impact initiatives in a collaborative and growth-oriented environment. How Y

Generative AI Architect Strong expertise in GenAI frameworks (OpenAI, Azure OpenAI, LangChain, LangGraph, Copilot Studio) and AI platforms. Key Responsibilities Design and deliver end-to-end Generative AI and Agentic AI architectures for enterprise clients. Lead technical implementation using Azure OpenAI, LangGraph, or Copilot Studio. Build reusable frameworks, prompt orchestration patterns, and RAG pipelines. Ensure compliance with security, privacy, and Responsible AI standards. Drive AI observability, cost optimization, and performance tuning. Collaborate with data, cloud, and business teams to identify AI use cases. Mentor engineers and contribute to practice accelerators and reference solutions. Support presales, client demos, and proposal development with architecture inputs.

- Proven experience deploying and managing Kubernetes clusters for AI/ML workloads. Experience of at scale deployments with Azure Kubernetes. Experience level - 5 Years or more Positions - 2 Proven experience deploying and managing Kubernetes clusters for AI/ML workloads. - Experience of at scale deployments with Azure Kubernetes Service, RedHat OpenShift, Microk8s and Helm Charts. - Expertise with infrastructure and resource management and virtualization tools such as VMWare/EXSi, KVM, Ansible, Redfish. - Strong understanding of Run:AI platform, including job scheduling, quota management, and GPU virtualization. - Knowledge of NVIDIA AI Enterprise components including, NIM, NeMO, TAO, Triton and Nucleus Servers - Familiarity with DGX systems, Jetson, and NVIDIA’s AI Factory components. - Proficiency in Python, C++, and optionally .NET/C# for enterprise integration.

Location Details: India, Remote At GoDaddy, the future of work varies by team. Some teams are fully office-based. Others split their time between remote work and the office. Some teams work completely from home. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... At GoDaddy, we are seeking a Senior Analyst to join our Assurance, Risk and Compliance (ARC) Enablement team. This role will help transform how our team and business improve processes, use technology, and empower people to manage risk and build the future compliance program. Reporting directly to the Director of ARC, you will drive meaningful improvements in people, processes, and technology. You will redesign workflows that cause unnecessary manual effort. You will develop automation and analytics that make compliance ongoing instead of occasional. You will ensure the team and collaborators are prepared to maintain and expand what is developed. You will work with SOX, Internal Audit (IA), and Enterprise Risk Management (ERM) to deliver scalable, auditable, and AI-forward solutions. If improving how compliance functions motivates you, this is your role! What you'll get to do... Find the friction and fix it. Map current-state workflows across ARC's SOX, IA, and ERM functions. Identify where manual effort and inefficiency exist. Lead process improvements that remove them for good. Build automation that actually sticks — develop pipelines, CI/CD-enabled code repositories, and repeatable testing frameworks that turn periodic compliance efforts into continuous, always-on operations. Make compliance visible in real time — build Power BI dashboards and analytics pipelines (Python, SQL) that give leadership and control owners a live view of risk posture. Put Jira to work for compliance — configure workflows, automation rules, and intake forms that embed traceability and standardization di

Data & AI Head will enable data driven decision making, advanced analytics, and AI led value creation across the organization by transforming raw data into trusted insights, predictive intelligence, and scalable AI solutions. The primary purpose of this role is to design, build, deploy, and govern data platforms, analytics, machine learning, computer vision, operations research and generative AI capabilities that directly support business strategy, operational excellence, and innovation. Source: Adani Group | Job ID: 54894

Data & AI Lead will enable data driven decision making, advanced analytics, and AI led value creation across the organization by transforming raw data into trusted insights, predictive intelligence, and scalable AI solutions. The primary purpose of this role is to design, build, deploy, and govern data platforms, analytics, machine learning, computer vision, operations research and generative AI capabilities that directly support business strategy, operational excellence, and innovation. By working closely with business leaders, Business Technology, Software Engineering, Architecture, IT, and Cybersecurity teams, Data & AI role translate business problems into analytical and AI use cases, develop scalable and responsible AI solutions, and ensure adoption through explainability, trust, and governance. This role plays a critical role in institutionalizing data driven culture, embedding AI into core processes, and enabling faster, better, and more consistent decisions at scale. Source: Adani Group | Job ID: 52726

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role can be based in Delhi, Mumbai or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. This role can be based in Delhi, Mumbai, or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge As a Senior Staff Software Engineer on the AI Governance Engineering team, you will play a critical role in shaping and building OneTrust's next-generation AI Governance platform. You will help transform complex AI governance, compliance, safety, and agent r

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role As a Forward Deployed AI Strategist , you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev’s platform. This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You’ll act as the connective tissue between pre-sales, customer success, engineering, and product teams bringing our AI capabilities to life for real-world impact. What you'll do Own Customer Context : Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design. Architect AI Transformation : Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices. Be a Trusted Advisor : Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform’s capabilities. Translate & Coordinate : Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable. Design R

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role We are looking for a Quality Architect/Lead with hands-on experience building quality systems and has deep expertise in building and scaling test automation frameworks.The role requires an individual who applies systems thinking to solving complex problems. They should be able to understand the product from various perspectives and be able to effectively create testing programs that validate not just functionality but performance, reliability and user experience.DevRev is building a next generation AI native product that requires us to build novel test systems for the Agent AI platform. The role is mult-faceted and is going to continuously evolve with time. What you'll do Test Case Design and Documentation Actively use AI and intelligent agents to accelerate test generation, test maintenance, and coverage expansion. Leverage LLMs to convert requirements, user stories, and production incidents into high-quality automated test cases. Reduce reliance on manual test case creation by introducing AI-assisted automation workflows, with human review and ownership. Apply AI to optimize test selection, prioritization, and execution based on risk, code changes, and historical failures. Use AI to assist in identi