34129BR Bangalore - Global Axis Job Description Job Description: Senior Cloud & AI Engineer Role Overview We are seeking a highly skilled Senior Cloud & AI Engineer to design, build, and optimize cloud-based AI/ML platforms. You will drive the platformization of our cloud infrastructure, leveraging Azure, OpenAI, and MLOps to deploy scalable AI solutions. This role is critical for advancing our AI capabilities and enabling seamless integration of tools like Copilot to enhance productivity and innovation. Exposure to AI Foundry preferred. Key Responsibilities Cloud Platform Development: Architect, implement, and manage Azure-based cloud platforms to support AI/ML workloads at scale. AI/ML Solutions: Design and deploy generative AI models (OpenAI) and end-to-end ML pipelines, ensuring robust MLOps practices for monitoring, testing, and CI/CD. Copilot Integration: Develop and optimize Copilot-based tools to automate code generation, data analysis, and workflow efficiency. Automation & Optimization: Script infrastructure-as-code (IaC) using Python, automate cloud resource management, and enhance platform reliability. Cross-functional Collaboration: Partner with data scientists and developers to operationalize AI models and ensure alignment with business goals. Best Practices: Establish governance, security, and cost-optimization strategies for cloud and AI resources. Required Skills & Qualifications Cloud Expertise: 5+ years in cloud engineering with Azure (IaaS/PaaS, AKS, Databricks, Synapse) and a focus on cloud platformization. AI/ML Proficiency: Hands-on experience with OpenAI, generative AI, and AI/ML Ops (e.g., MLflow, Azure ML). Programming: Advanced Python skills for automation, API development, and scripting. Copilot Tools: Proven ability to implement Copilot (GitHub/GitLab Copilot, Azure Copilot) for code/process automation. DevOps: Experience with CI/CD (Azure DevOps), containerization (Docker/Kubernetes), and IaC (Terraform/Bicep). Analytical Skills: Ability to troubleshoot complex systems and optimize performance. Preferred Qualifications Azure certifications (e.g., Azure Solutions Architect, Azure AI Engineer). Familiarity with big data tools (Spark, Delta Lake) and LLM fine-tuning. Knowledge of other cloud platforms (AWS/GCP) or AI frameworks (LangChain, Hugging Face). Education Bachelor’s/Master’s in Computer Science, Engineering, or related field. Qualifications B.Tech Range of Year Experience-Min Year 7 Range of Year Experience-Max Year 15 Show more Show less

Job Category: AIML Job Type: Full Time Job Location: Bengaluru Mangalore Experience: 4-8 Years Skills: AI AWS/AZURE/GCP Azure ML C computer vision data analytics Data Modeling Data Visualization deep learning Descriptive Analytics GenAI Image processing Java LLM models ML ONNX Predictive Analytics Python R Regression/Classification Models SageMaker SQL TensorFlow Position Overview We are looking for an experienced AI/ML Engineer to join our team in Bengaluru. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. You will lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer. Job Type: Full-Time Job Location: Bengaluru Experience Required: 4-8 Years About Us We are a multi-award-winning creative engineering company. Since 2011, we have worked with our customers as a design and technology enablement partner, guiding them on their digital transformation journeys. Roles And Responsibilities Design, develop, and deploy deep learning models for object classification, detection, and segmentation using CNNs and Transfer Learning. Implement image preprocessing and advanced computer vision pipelines. Optimize deep learning models using pruning, quantization, and ONNX for deployment on edge devices. Work with PyTorch, TensorFlow, and ONNX frameworks to develop and convert models. Accelerate model inference using GPU programming with CUDA and cuDNN. Port and test models on embedded and edge hardware platforms. ( Orin, Jetson, Hailo ) Conduct research and experiments to evaluate and integrate GenAI technologies in computer vision tasks. Explore and implement cloud-based AI workflows, particularly using AWS/Azure AI/ML services. Collaborate with cross-functional teams for data analytics, data processing, and large-scale model training. Required Skills Strong programming experience in Python. Solid background in deep learning, CNNs, and transfer learning and Machine learning basics. Expertise in object detection, classification, segmentation. Proficiency with PyTorch, TensorFlow, and ONNX. Experience with GPU acceleration (CUDA, cuDNN). Hands-on knowledge of model optimization (pruning, quantization). Experience deploying models to edge devices (e.g., Jetson, mobile, Orin, Hailo ) Understanding of image processing techniques. Familiarity with data pipelines, data preprocessing, and data analytics. Willingness to explore and contribute to Generative AI and cloud-based AI solutions. Good problem-solving and communication skills. Preferred (Nice-to-Have) Experience with C/C++. Familiarity with AWS Cloud AI/ML tools (e.g., SageMaker, Rekognition). Exposure to GenAI frameworks like OpenAI, Stable Diffusion, etc. Knowledge of real-time deployment systems and streaming analytics. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute. What We Offer Competitive salary and benefits package. Opportunity to work in a dynamic and innovative environment. Professional development and learning opportunities. Visit us on: CodeCraft Technologies LinkedIn : CodeCraft Technologies LinkedIn Instagram : CodeCraft Technologies Instagram Show more Show less

Job Description Job Description : We are seeking a highly experienced and innovative Senior Data Engineer with a strong background in hybrid cloud data integration, pipeline orchestration, and AI-driven data modeling. This role is responsible for designing, building, and optimizing robust, scalable, and production-ready data pipelines across both AWS and Azure platforms, supporting modern data architectures such as CEDM and Data Vault 2.0. Responsibilities Design and develop hybrid ETL/ELT pipelines using AWS Glue and Azure Data Factory (ADF). Process files from AWS S3 and Azure Data Lake Gen2, including schema validation and data profiling. Implement event-based orchestration using AWS Step Functions and Apache Airflow (Astronomer). Develop and maintain bronze → silver → gold data layers using DBT or Coalesce. Create scalable ingestion workflows using Airbyte, AWS Transfer Family, and Rivery. Integrate with metadata and lineage tools like Unity Catalog and OpenMetadata. Build reusable components for schema enforcement, EDA, and alerting (e.g., MS Teams). Work closely with QA teams to integrate test automation and ensure data quality. Collaborate with cross-functional teams including data scientists and business stakeholders to align solutions with AI/ML use cases. Document architectures, pipelines, and workflows for internal stakeholders. Requirements Essential Skills: Job Experience with cloud platforms: AWS (Glue, Step Functions, Lambda, S3, CloudWatch, SNS, Transfer Family) and Azure (ADF, ADLS Gen2, Azure Functions,Event Grid). Skilled in transformation and ELT tools: Databricks (PySpark), DBT, Coalesce, and Python. Proficient in data ingestion using Airbyte, Rivery, SFTP/Excel files, and SQL Server extracts. Strong understanding of data modeling techniques including CEDM, Data Vault 2.0, and Dimensional Modeling. Hands-on experience with orchestration tools such as AWS Step Functions, Airflow (Astronomer), and ADF Triggers. Expertise in monitoring and logging with CloudWatch, AWS Glue Metrics, MS Teams Alerts, and Azure Data Explorer (ADX). Familiar with data governance and lineage tools: Unity Catalog, OpenMetadata, and schema drift detection. Proficient in version control and CI/CD using GitHub, Azure DevOps, CloudFormation, Terraform, and ARM templates. Experienced in data validation and exploratory data analysis with pandas profiling, AWS Glue Data Quality, and Great Expectations. Personal Excellent communication and interpersonal skills, with the ability to engage with teams. Strong problem-solving, decision-making, and conflict-resolution abilities. Proven ability to work independently and lead cross-functional teams. Ability to work in a fast-paced, dynamic environment and handle sensitive issues with discretion and professionalism. Ability to maintain confidentiality and handle sensitive information with attention to detail with discretion. The candidate must have strong work ethics and trustworthiness Must be highly collaborative and team oriented with commitment to excellence. Preferred Skills Job Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data and AI services. Knowledge of ETL tools and frameworks (e.g., Apache NiFi, Talend, Informatica). Deep understanding of AI/Generative AI concepts and frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs). Experience with data modeling, data structures, and database design. Proficiency with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka). Personal Demonstrate proactive thinking Should have strong interpersonal relations, expert business acumen and mentoring skills Have the ability to work under stringent deadlines and demanding client conditions Ability to work under pressure to achieve the multiple daily deadlines for client deliverables with a mature approach Other Relevant Information Bachelor’s in Engineering with specialization in Computer Science or Artificial Intelligence or Information Technology or a related field. 9+ years of experience in data engineering and data architecture. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... We are seeking a visionary and technically strong Senior AI Architect to join our Billing IT organization in driving innovation at the intersection of telecom billing, customer experience, and artificial intelligence. This leadership role will be pivotal in designing, developing, and scaling AI-led solutions that redefine how we bill our customers, improve their billing experience, and derive actionable insights from billing data. You will work closely with cross-functional teams to lead initiatives that transform customer-facing systems, backend data platforms, and software development practices through modern AI technologies. Key Responsibilities Customer Experience Innovation: Designing and implementing AI-driven enhancements to improve telecom customer experience, particularly in the billing domain. Leading end-to-end initiatives that personalize, simplify, and demystify billing interactions for customers. AI Tools and Platforms: Evaluating and implementing cutting-edge AI/ML models, LLMs, SLMs, and AI-powered solutions for use across the billing ecosystem. Developing prototypes and production-grade AI tools to solve real-world customer pain points. Prompt Engineering & Applied AI: Exhibiting deep expertise in prompt engineering and advanced LLM usage to build conversational tools, intelligent agents, and self-service experiences for customers and support teams. Partnering with design and development teams to build intuitive AI interfaces and utilities. AI Pair Programming Leadership: Demonstrating hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Codeium). Driving adoption of such tools across development teams, track measurable productivity improvements, and integrate into SDLC pipelines. Data-Driven Insight Generation: Leading large-scale data analysis initiatives using AI/ML methods to generate meaningful business insights, predict customer behavior, and prevent billing-related issues. Establishing feedback loops between customer behavior and billing system design. Thought Leadership & Strategy: Acting as a thought leader in AI and customer experience within the organization. Staying abreast of trends in AI and telecom customer experience; regularly benchmark internal initiatives with industry best practices. Architectural Excellence: Owning and evolve the technical architecture of AI-driven billing capabilities, ensuring scalability, performance, security, and maintainability. Collaborating with enterprise architects and domain leads to align with broader IT and digital transformation goals. Telecom Billing Domain Expertise: Bring deep understanding of telecom billing functions, processes, and IT architectures, including usage processing, rating, billing cycles, invoice generation, adjustments, and revenue assurance. Providing architectural guidance to ensure AI and analytics solutions are well integrated into core billing platforms with minimal operational risk. Where you'll be working... In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. What We’re Looking For... You’re energized by the prospect of putting your advanced expertise to work as one of the most senior members of the team. You’re motivated by working on groundbreaking technologies to have an impact on people’s lives. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of relevant experience required, demonstrated through one or a combination of work Strong understanding of AI/ML concepts, including generative AI, LLMs (Large Language Models) etc with the ability to evaluate and apply them to solve real-world problems in telecom and billing. Familiarity with industry-leading AI models and platforms (e.g., OpenAI GPT, Google Gemini, Microsoft Phi, Meta LLaMA, AWS Bedrock), and understanding of their comparative strengths, pricing models, and applicability. Ability to scan and interpret AI industry trends, identify emerging tools, and match them to business use cases (e.g., bill explainability, predictive analytics, anomaly detection, agent assist). Skilled in adopting and integrating third-party AI tools—rather than building from scratch—into existing IT systems, ensuring fit-for-purpose usage with strong ROI. Experience working with AI product vendors, evaluating PoCs, and influencing make-buy decisions for AI capabilities. Comfortable guiding cross-functional teams (tech, product, operations) on where and how to apply AI tools, including identifying appropriate use cases and measuring impact. Deep expertise in writing effective and optimized prompts across various LLMs. Knowledge of prompt chaining, tool-use prompting, function calling, embedding techniques, and vector search optimization. Ability to mentor others on best practices for LLM prompt engineering and prompt tuning. In-depth understanding of telecom billing functions: mediation, rating, charging, invoicing, adjustments, discounts, taxes, collections, and dispute management. Strong grasp of billing SLAs, accuracy metrics, and compliance requirements in a telcom environment. Proven ability to define and evolve cloud-native, microservices-based architectures with AI components. Deep understanding of software engineering practices including modular design, API-first development, testing automation, and observability. Experience in designing scalable, resilient systems for high-volume data pipelines and customer interactions. Demonstrated hands-on use of tools like GitHub Copilot, Codeium, AWS CodeWhisperer, etc. Strong track record in scaling adoption of AI pair programming tools across engineering teams. Ability to quantify productivity improvements and integrate tooling into CI/CD pipelines. Skilled in working with large-scale structured and unstructured billing and customer data. Proficiency in tools like SQL, Python (Pandas, NumPy), Spark, and data visualization platforms (e.g., Power BI, Tableau). Experience designing and operationalizing AI/ML models to derive billing insights, detect anomalies, or improve revenue assurance. Excellent ability to translate complex technical concepts to business stakeholders. Influential leadership with a track record of driving innovation, change management, and cross-functional collaboration. Ability to coach and mentor engineers, analysts, and product owners on AI technologies and best practices. Keen awareness of emerging AI trends, vendor platforms, open-source initiatives, and market best practices. Active engagement in AI communities, publications, or proof-of-concept experimentation. Even better if you have one or more of the following: A master’s degree If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

About Alyne Alyne is a lean digital studio that designs, builds, and markets high-performance websites and landing pages for SMB clients across the US and EU. Our toolkit spans WordPress, AI-powered marketing automations, Zoho’s SaaS suite, and soon—headless stacks with React/Next.js. We value automation, clean code, and launching fast without sacrificing quality. About the Role You’ll own full-cycle WordPress delivery—from cloning an Elementor kit and swapping content in a morning, to building a lightweight custom theme or headless Next.js front end the same week. Turnaround is quick, quality can’t slip, and every site must hit solid Core Web Vitals. If you like variety and enjoy scripting away repetitive tasks, you’ll thrive here. Location - Remote Experience - 2+ years Salary - 40k to 50k Timing - 5pm IST to 2am IST Summary of What You’ll Tackle Template Builds – Duplicate/adjust Elementor (or Bricks/Oxygen) kits; style, populate, SEO-tune, and deploy 5- to 15-page brochure sites in 1–3 days. Custom Development – Craft PHP themes, ACF blocks, or headless React/Next.js front ends when design or performance goals demand it. Performance & QA – Guarantee ≧90 Lighthouse mobile, INP < 200 ms, and WCAG 2.2 AA for each release; run WPScan and plugin audits before hand-off. Cross-team Collaboration – Work async in Notion/Figma/Slack with designers, marketers, and PMs; jump on a quick call only if blockers appear. Continuous Learning – Test emerging AI dev tools, Gutenberg patterns, and edge-deploy tricks, documenting wins for the team. Detailed Responsibilities Page-Builder Production Spin up staging sites; import kits; configure global colours/typography; replicate Figma sections pixel-close. Replace content via Advanced Custom Fields (ACF) or native blocks; set SEO titles, schema, and OG tags. Optimize: image WebP conversion, font-display swap, unused CSS removal. Custom WordPress builds Hosting & DevOps Develop pixel-perfect custom themes (PHP, Twig/Blade, ACF/Block Editor). Build/extend plugins to integrate CRM, analytics, and marketing automations. Implement responsive, accessible UI with HTML5, SCSS, vanilla JS/jQuery. Provision and maintain sites on managed WP hosting or cPanel/Lightsail. Handle SSL, CDN, backups, staging, and performance optimisation (WebVitals, caching). Plugin & API Integration Extend WooCommerce, Gravity Forms, or MemberPress with action/filter hooks. Drop in OpenAI/LangChain endpoints for on-site chat, content tagging, or RAG search. Maintenance - Monthly core/plugin updates, security scans, backup audits. Diagnose and fix PHP errors, database slow queries, or CORS / mixed-content issues. Build & launch sites – Develop custom themes, tweak templates, configure hosting (cPanel / managed WP), handle migrations and SSL. Extend WordPress – Write child themes, lightweight plugins, custom post types, ACF layouts, and performance-optimised queries. Own the front-end – Craft semantic HTML5, modern CSS (Flexbox/Grid, SCSS), and vanilla or ES6 + JS for dynamic UI behaviour (sliders, forms, animations). Cross-team collaboration – Liaise with designers, SEO strategists, copywriters, and the ads team to translate campaign goals into site experiences. Must-Have Qualifications 3+ years professional WordPress work (agency or freelance). Elementor or Bricks/Oxygen mastery—can rebuild a five-section landing page in ≤ 2 hours. Strong PHP 8+ , MySQL, modern CSS (SCSS/Tailwind), and vanilla JavaScript/ES6. Git usage daily; comfortable with PR reviews and branch re-bases. ACF Pro, CPT UI, WP-CLI, basic WP REST API work. Able to meet Lighthouse 90+ and solve CLS, LCP, INP issues. Written English is clear enough for US-client Slack threads. Nice-to-Have First projects in React / Next.js or a desire to ramp up quickly. WooCommerce, headless WordPress, or JAMstack exposure. API integrations (HubSpot, Mailchimp, CRM webhooks). Basic SEO, GA4, or Tag Manager know-how. Portfolio projects and proof of work is a big plus Show more Show less

🚀 Job Title: Engineering Lead Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience: 5–10 Years Compensation: Competitive + Performance-based incentives + Meaningful ESOPs 🧠 About Darwix AI Darwix AI is one of India’s fastest-growing AI startups, building the future of enterprise revenue intelligence. We offer a GenAI-powered conversational intelligence and real-time agent assist suite that transforms how large sales teams interact, close deals, and scale operations. We’re already live with enterprise clients across India, the UAE, and Southeast Asia , and our platform enables multilingual speech-to-text, AI-driven nudges, and contextual conversation coaching—backed by our proprietary LLMs and cutting-edge voice infrastructure. With backing from top-tier VCs and over 30 angel investors, we’re now hiring an Engineering Lead who can architect, own, and scale the core engineering stack as we prepare for 10x growth. 🌟 Role Overview As the Engineering Lead at Darwix AI , you’ll take ownership of our platform architecture, product delivery, and engineering quality across the board. You’ll work closely with the founders, product managers, and the AI team to convert fast-moving product ideas into scalable features. You will: Lead backend and full-stack engineers across microservices, APIs, and real-time pipelines Architect scalable systems for AI/LLM deployments Drive code quality, maintainability, and engineering velocity This is a hands-on, player-coach role —perfect for someone who loves building but is also excited about mentoring and growing a technical team. 🎯 Key Responsibilities🛠️ Technical Leadership Own technical architecture across backend, frontend, and DevOps stacks Translate product roadmaps into high-performance, production-ready systems Drive high-quality code reviews, testing practices, and performance optimization Make critical system-level decisions around scalability, security, and reliability 🚀 Feature Delivery Work with the product and AI teams to build new features around speech recognition, diarization, real-time coaching, and analytics dashboards Build and maintain backend services for data ingestion, processing, and retrieval from Vector DBs, MySQL, and MongoDB Create clean, reusable APIs (REST & WebSocket) that power our web-based agent dashboards 🧱 System Architecture Refactor monoliths into microservice-based architecture Optimize real-time data pipelines with Redis, Kafka, and async queues Implement serverless modules using AWS Lambda, Docker containers, and CI/CD pipelines 🧑‍🏫 Mentorship & Team Building Lead a growing team of engineers—guide on architecture, code design, and performance tuning Foster a culture of ownership, documentation, and continuous learning Mentor junior developers, review PRs, and set up internal coding best practices 🔄 Collaboration Act as the key technical liaison between Product, Design, AI/ML, and DevOps teams Work directly with founders on roadmap planning, delivery tracking, and go-live readiness Contribute actively to investor tech discussions, client onboarding, and stakeholder calls ⚙️ Our Tech Stack Languages: Python (FastAPI, Django), PHP (legacy support), JavaScript, TypeScript Frontend: HTML, CSS, Bootstrap, Mustache templates; (React.js/Next.js optional) AI/ML Integration: LangChain, Whisper, RAG pipelines, Transformers, Deepgram, OpenAI APIs Databases: MySQL, PostgreSQL, MongoDB, Redis, Pinecone/FAISS (Vector DBs) Cloud & Infra: AWS EC2, S3, Lambda, CloudWatch, Docker, GitHub Actions, Nginx DevOps: Git, Docker, CI/CD pipelines, Jenkins/GitHub Actions, load testing Tools: Jira, Notion, Slack, Postman, Swagger 🧑‍💼 Who You Are 5–10 years of professional experience in backend/full-stack development Proven experience leading engineering projects or mentoring junior devs Comfortable working in high-growth B2B SaaS startups or product-first orgs Deep expertise in one or more backend frameworks (Django, FastAPI, Laravel, Flask) Experience working with AI products or integrating APIs from OpenAI, Deepgram, HuggingFace is a huge plus Strong understanding of system design, DB normalization, caching strategies, and latency optimization Bonus: exposure to working with voice pipelines (STT/ASR), NLP models, or real-time analytics 📌 Qualities We’re Looking For Builder-first mindset – you love launching features fast and scaling them well Execution speed – you move with urgency but don’t break things Hands-on leadership – you guide people by writing code, not just processes Problem-solver – when things break, you own the fix and the root cause Startup hunger – you thrive on chaos, ambiguity, and shipping weekly 🎁 What We Offer High Ownership : Directly shape the product and its architecture from the ground up Startup Velocity : Ship fast, learn fast, and push boundaries Founding Engineer Exposure : Work alongside IIT-IIM-BITS founders with full transparency Compensation : Competitive salary + meaningful equity + performance-based incentives Career Growth : Move into an EM/CTO-level role as the org scales Tech Leadership : Own features end-to-end—from spec to deployment 🧠 Final Note This is not just another engineering role. This is your chance to: Own the entire backend for a GenAI product serving global enterprise clients Lead technical decisions that define our future infrastructure Join the leadership team at a startup that’s shipping faster than anyone else in the category If you're ready to build a product with 10x potential, join a high-output team, and be the reason why the tech doesn’t break at scale , this role is for you. 📩 How to Apply Send your resume to people@darwix.ai with the subject line: “Application – Engineering Lead – [Your Name]” Attach: Your latest CV or LinkedIn profile GitHub/portfolio link (if available) A short note (3–5 lines) on why you're excited about Darwix AI and this role Show more Show less

🧠 Job Title: Engineering Manager Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 7–12 Years Compensation: Competitive salary + ESOPs + Performance-based bonuses 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing AI-first startups, building next-gen conversational intelligence and real-time agent assist tools for sales teams globally. We’re transforming how enterprise sales happens across industries like BFSI, real estate, retail, and telecom with a GenAI-powered platform that combines multilingual transcription, NLP, real-time nudges, knowledge base integration, and performance analytics—all in one. Our clients include some of the biggest names in India, MENA, and SEA. We’re backed by marquee venture capitalists, 30+ angel investors, and operators from top AI, SaaS, and B2B companies. Our founding team comes from IITs, IIMs, BITS Pilani, and global enterprise AI firms. Now, we’re looking for a high-caliber Engineering Manager to help lead the next phase of our engineering evolution. If you’ve ever wanted to build and scale real-world AI systems for global use cases—this is your shot. 🎯 Role Overview As Engineering Manager at Darwix AI, you will be responsible for leading and managing a high-performing team of backend, frontend, and DevOps engineers. You will directly oversee the design, development, testing, and deployment of new features and system enhancements across Darwix’s AI-powered product suite. This is a hands-on technical leadership role , requiring the ability to code when needed, conduct architecture reviews, resolve blockers, and manage the overall engineering execution. You’ll work closely with product managers, data scientists, QA teams, and the founders to deliver on roadmap priorities with speed and precision. You’ll also be responsible for building team culture, mentoring developers, improving engineering processes, and helping the organization scale its tech platform and engineering capacity. 🔧 Key Responsibilities1. Team Leadership & Delivery Lead a team of 6–12 software engineers (across Python, PHP, frontend, and DevOps). Own sprint planning, execution, review, and release cycles. Ensure timely and high-quality delivery of key product features and platform improvements. Solve execution bottlenecks and ensure clarity across JIRA boards, product documentation, and sprint reviews. 2. Architecture & Technical Oversight Review and refine high-level and low-level designs proposed by the team. Provide guidance on scalable architectures, microservices design, performance tuning, and database optimization. Drive migration of legacy PHP code into scalable Python-based microservices. Maintain technical excellence across deployments, containerization, CI/CD, and codebase quality. 3. Hiring, Coaching & Career Development Own the hiring and onboarding process for engineers in your pod. Coach team members through 1:1s, OKRs, performance cycles, and continuous feedback. Foster a culture of ownership, transparency, and high-velocity delivery. 4. Process Design & Automation Drive adoption of agile development practices—daily stand-ups, retrospectives, sprint planning, documentation. Ensure production-grade observability, incident tracking, root cause analysis, and rollback strategies. Introduce quality metrics like test coverage, code review velocity, time-to-deploy, bug frequency, etc. 5. Cross-functional Collaboration Work closely with the product team to translate high-level product requirements into granular engineering plans. Liaise with QA, AI/ML, Data, and Infra teams to coordinate implementation across the board. Collaborate with customer success and client engineering for debugging and field escalations. 🔍 Technical Skills & Stack🔹 Primary Languages & Frameworks: Python (FastAPI, Flask, Django) PHP (legacy services; transitioning to Python) TypeScript, JavaScript, HTML5, CSS3 Mustache templates (preferred), React/Next.js (optional) 🔹 Databases & Storage: MySQL (primary), PostgreSQL MongoDB, Redis Vector DBs: Pinecone, FAISS, Weaviate (RAG pipelines) 🔹 AI/ML Integration: OpenAI APIs, Whisper, Wav2Vec, Deepgram Langchain, HuggingFace, LlamaIndex, LangGraph 🔹 DevOps & Infra: AWS EC2, S3, Lambda, CloudWatch Docker, GitHub Actions, Nginx Git (GitHub/GitLab), Jenkins (optional) 🔹 Monitoring & Testing: Prometheus, Grafana, Sentry PyTest, Selenium, Postman ✅ Candidate Profile👨‍💻 Experience: 7–12 years of total engineering experience in high-growth product companies or startups. At least 2 years of experience managing teams as a tech lead or engineering manager. Experience working on real-time data systems, microservices architecture, and SaaS platforms. 🎓 Education: Bachelor’s or Master’s degree in Computer Science or related field. Preferred background from Tier 1 institutions (IITs, BITS, NITs, IIITs). 💼 Traits We Love: You lead with clarity, ownership, and high attention to detail. You believe in building systems—not just shipping features. You are pragmatic and prioritize team delivery velocity over theoretical perfection. You obsess over latency, clean interfaces, and secure deployments. You want to build a high-performing tech org that scales globally. 🌟 What You’ll Get Leadership role in one of India’s top GenAI startups Competitive fixed compensation with performance bonuses Significant ESOPs tied to company milestones Transparent performance evaluation and promotion framework A high-speed environment where builders thrive Access to investor and client demos, roadshows, GTM huddles, and more Annual learning allowance and access to internal AI/ML bootcamps Founding-team-level visibility in engineering decisions and product innovation 🛠️ Projects You’ll Work On Real-time speech-to-text engine in 11 Indian languages AI-powered live nudges and agent assistance in B2B sales Conversation summarization and analytics for 100,000+ minutes/month Automated call scoring and custom AI model integration Multimodal input processing: audio, text, CRM, chat Custom knowledge graph integrations across BFSI, real estate, retail 📢 Why This Role Matters This is not just an Engineering Manager role. At Darwix AI, every engineering decision feeds directly into how real sales teams close deals. You’ll see your work powering real-time customer calls, nudging field reps in remote towns, helping CXOs make hiring decisions, and making a measurable impact on enterprise revenue. You’ll help shape the core technology platform of a company that’s redefining how humans and machines interact in sales. 📩 How to Apply Email your resume, GitHub/portfolio (if any), and a few lines on why this role excites you to: 📧 people@darwix.ai Subject: Application – Engineering Manager – [Your Name] If you’re a technical leader who thrives on velocity, takes pride in mentoring developers, and wants to ship mission-critical AI systems that power revenue growth across industries, this is your stage . Join Darwix AI. Let’s build something that lasts. Show more Show less

🚀 AI Engineering Intern (SDE) – Founding Tech Interns | Opportunity of a Lifetime Location: Gurgaon (In-Office) Duration: 3–6 months (Flexible based on academic schedule) Start Date: Immediate openings Open to: Tier 1 college students graduating in 2025 and 2026 Compensation: Stipend + Pre-Placement Offer potential 🧠 About Us – Darwix AI Darwix AI is on a mission to solve a problem no one's cracked yet — building real-time, multilingual conversational intelligence for omnichannel enterprise sales teams using the power of Generative AI. We're building India’s answer to Gong + Refract + Harvey AI — trained on 1M+ hours of sales conversations, and packed with industry-first features like live agent coaching , speech-to-text in 11 Indic languages , and autonomous sales enablement nudges . We’ve got global clients, insane velocity, and a team of ex-operators from IIMs, IITs, and top-tier AI labs. 🌌 Why This Internship is Unlike Anything Else 💡 Work on a once-in-a-decade problem — pushing the boundaries of GenAI + Speech + Edge compute. 🛠️ Ship real products used by enterprise teams across India & the Middle East. 🧪 Experiment freely — train models, optimize pipelines, fine-tune LLMs, or build scrapers that work in 5 languages. 🚀 Move fast, learn faster — direct mentorship from the founding engineering and AI team. 🏆 Proof-of-excellence opportunity — stand out in every future job, B-school, or YC application. 💻 What You'll Do Build and optimize core components of our real-time agent assist engine (Python + FastAPI + Kafka + Redis). Train, evaluate, and integrate whisper, wav2vec, or custom STT models on diverse datasets. Work on LLM/RAG pipelines , prompt engineering, or vector DB integrations. Develop internal tools to analyze, visualize, and scale insights from conversations across languages. Optimize for latency, reliability, and multilingual accuracy in dynamic customer environments. 🌟 Who You Are Pursuing a B.Tech/B.E. or dual degree from IITs, IIITs, BITS, NIT Trichy/Warangal/Surathkal, or other top-tier institutes. Comfortable with Python , REST APIs, and database operations. Bonus: familiarity with FastAPI, Langchain, or HuggingFace. Passionate about AI/ML, especially NLP, GenAI, ASR, or multimodal systems. Always curious, always shipping, always pushing yourself beyond the brief. Looking for an internship that actually matters — not one where you're just fixing CSS. 🌐 Tech You’ll Touch Python, FastAPI, Kafka, Redis, MongoDB, Postgres Whisper, Deepgram, Wav2Vec, HuggingFace Transformers OpenAI, Anthropic, Gemini APIs LangChain, FAISS, Pinecone, LlamaIndex Docker, GitHub Actions, Linux environments 🎯 What’s in it for you A pre-placement offer for the best performers. A chance to be a founding engineer post-graduation. Exposure to the VC ecosystem , client demos, and GTM strategies. Stipend + access to tools/courses/compute resources you need to thrive. 🚀 Ready to Build the Future? If you’re one of those rare folks who can combine deep tech with deep curiosity , this is your call to adventure. Join us in building something that’s never been done before. Apply now at careers@cur8.in Attach your CV + GitHub/Portfolio + a line on why this excites you. Bonus points if you share a project you’ve built or an AI problem you’re obsessed with. Darwix AI | GenAI for Revenue Teams | Built from India for the World Show more Show less

Role –Senior Gen AI Engineer Location - Kochi Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

At NIIT Managed Training Services, we’re transforming the way the world learns, for the better. That’s why the world’s best-run learning functions across 30 countries trust us with their learning and talent. Since 1981, we have helped leading companies transform their learning ecosystems while increasing the business value of learning. Our comprehensive, high-impact managed learning solutions weave together the best of learning theory, technology, operations, and services to enable a thriving workforce. Link for our website: - https://www.niit.com/en/learning-outsourcing/services/ We are hiring for Python Developer - AI & Web Applications This is 1 year contract mode role which can be converted into permanent based on performance. 5 days working from Office, Gurgaon-sector 34. General Shift About This Role We are seeking a skilled Python Developer to join our innovative team, focusing on AI applications, autonomous agent development, and web-based solutions. This role offers the opportunity to work with large language models, build interactive web applications using modern Python frameworks, and develop autonomous systems that can perform complex tasks. Key Responsibilities Development & Architecture • Design and develop web applications using FastAPI, Flask, and Gradio frameworks • Create interactive user interfaces combining Python backends with HTML/CSS frontends • Build responsive web applications with seamless integration between frontend and backend components • Deploy and manage applications using Azure cloud services for scalability and reliability • Develop and integrate autonomous agent systems for automated task execution and decision-making AI & Machine Learning • Work with large language models (LLMs) from various providers including OpenAI, Anthropic, and Hugging Face • Implement LLM-powered features including chat interfaces, content generation, and intelligent automation • Design and deploy autonomous agents capable of complex reasoning, planning, and multi-step task execution • Integrate multiple AI services and APIs to create comprehensive intelligent applications • Build agent orchestration systems for coordinated multi-agent workflows Data Engineering & Analytics • Work with large datasets, implementing robust data preprocessing, cleaning, and transformation pipelines • Collaborate with data scientists to integrate NLP-driven solutions into production applications • Optimize application performance, responsiveness, and scalability for enterprise-level deployments • Ensure data security, privacy, and compliance throughout the development lifecycle Collaboration & Best Practices • Partner with cross-functional teams to understand business requirements and translate them into technical solutions • Conduct comprehensive code reviews and maintain high standards for code quality and documentation • Stay current with latest advancements in AI, autonomous systems, NLP, and cloud technologies • Mentor junior developers and contribute to technical decision-making processes Required Qualifications & Experience • Bachelor's degree in Computer Science, Software Engineering, Web Development, or related field • 3+ years of proven experience as a Python Developer with expertise in web frameworks • Demonstrated experience building web applications with FastAPI, Flask, and Gradio NIIT is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. Show more Show less

This role will be a part of our Technology team, the primary role would be of a ‘Devops Engineer’ who would be responsible for implementing and managing the cloud infrastructure including Linux based VMs, MS SQL Server DBs etc. 1. Managing the cloud infrastructure under the supervision of cloud architect. 2. Management of Linux based virtual machines hosted on Microsoft Azure. 3. Management of MS SQL Server with different hosting models. 4. Monitoring Application health. 5. Alerts management, tracking and resolution. 6. Working experience of Azure AI tools/Azure OpenAI. Requirements 1.Experience of working with Microsoft Azure Cloud Platform. 2. Proactive mindset and ability to work independently. 3. Management of Linux based virtual machines. 4. Working experience of Azure portal, Azure CLI and PowerShell scripts. 5.Good written and verbal communication skills. 6. Initiative-taking and ability to work as a part of the team. 7. Thorough, methodical, and logical approach towards problem solving. 8. Ability to work well under pressure in a demanding environment. 9. Experience of working on Jira. 10. Should have B.Tech./B.E./MCA degree. 11. Minimum 2 years of relevant work experience. Show more Show less

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure OpenAI Service Good to have skills : ASP.NET MVC Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application development with organizational goals, ensuring that the solutions provided are effective and innovative. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Facilitate regular team meetings to discuss progress and address any roadblocks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure OpenAI Service. - Good To Have Skills: Experience with ASP.NET MVC. - Strong understanding of cloud computing principles and architecture. - Experience in application design and development methodologies. - Familiarity with agile project management practices. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure OpenAI Service. - This position is based at our Noida office. - A 15 years full time education is required. 15 years full time education Show more Show less

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In quality engineering at PwC, you will focus on implementing leading practice standards of quality in software development and testing processes. In this field, you will use your experience to identify and resolve defects, optimise performance, and enhance user experience. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. About PwC CTIO – EmTech PwC’s Commercial Technology and Innovation Office (CTIO) is committed to shaping the future of technology within the firm. The EmTech (Emerging Technologies) division pioneers next-gen AI/ML/GenAI solutions, explores groundbreaking technologies, and delivers scalable innovation. We blend engineering rigor with applied AI research to transform ideas into real-world impact. We are at the intersection of software engineering and AI innovation — pushing boundaries in LLMOps , MLOps , and AI infrastructure to enable agile, secure, and scalable delivery of AI-powered products across domains. Role Overview We are seeking Test Automation QA with 4 -6+ years of experience in IT, specializing in Generative AI Testing and Test Automation management. Expertise in designing and implementing AI-driven test strategies using advanced tools. Proficient in key skills such as test strategy design, test execution planning, test development & monitoring, and enterprise testing frameworks, with a strong focus on process automation and team leadership. Key Responsibilities Design, develop, and maintain scalable and reliable test automation frameworks utilizing Python, Java/C##. Expertise in designing and implementing AI-driven test strategies using advanced tools like OpenAI, GitHub Copilot, etc. Demonstrate understanding of or possess hands-on experience with testing methodologies specific to Generative AI and large language model (LLM)-based systems. Perform thorough manual testing across web applications, APIs, and backend services to ensure functional stability and performance. Collaborate closely with software engineers and business analysts to gather and interpret requirements, ensuring comprehensive test coverage and alignment with business objectives. Execute various types of testing including functional, regression, integration, and system-level testing to ensure product quality and reliability. Develop and manage test plans, create detailed test cases, and document clear, actionable defect reports. Integrate automated test suites into CI/CD pipelines to enable continuous testing and quality assurance throughout the development lifecycle. Actively participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives, contributing to continuous improvement initiatives. Mandatory Skills Over 4 to 9 years of professional experience in the IT industry, with a strong focus on test automation management. A minimum of 1.5 years of hands-on experience in testing Generative AI systems. Proven expertise in both automated and manual testing methodologies across diverse application landscapes. Sound understanding and/or practical experience in testing strategies specific to Generative AI and Large Language Model (LLM)-based applications. Strong proficiency in API testing and backend system validation to ensure data integrity and service reliability. Skilled in developing and maintaining test automation scripts using Python and Java. Extensive experience with automation frameworks such as Pytest, Selenium, Playwright, Rest Assured. Well-versed in Continuous Integration/Continuous Deployment (CI/CD) practices, with familiarity in integrating test suites into CI/CD pipelines using industry-standard tools. Good To Have Experience with Azure DevOps (ADO) for comprehensive test management, task tracking, and collaboration within Agile development environments. Solid experience in leveraging AI and LLM evaluation frameworks like RAGAS for quality assessment, combined with proficiency in developing and validating custom GPT models for domain-specific applications. Soft Skills & Team Expectations Strong communication and documentation skills; ability to clearly articulate technical concepts to both technical and non-technical audiences. Demonstrated ability to work independently as well as collaboratively in a fast-paced environment. A builder's mindset with a strong desire to innovate, automate, and scale. Comfortable in an agile, iterative development environment. Willingness to mentor junior engineers and contribute to team knowledge growth. Show more Show less

Job Title: Python Developer Location: Mohali, Punjab Company: RevClerx About RevClerx: RevClerx Pvt. Ltd., founded in 2017 and based in the Chandigarh/Mohali area (India), is a dynamic Information Technology firm providing comprehensive IT services with a strong focus on client-centric solutions. As a global provider, we cater to diverse business needs including website designing and development, digital marketing, lead generation services (including telemarketing and qualification), and appointment setting. Job Summary: We are seeking a motivated and skilled Python Developer with 3-4 years of professional experience to join our dynamic engineering team. The ideal candidate will be proficient in developing, deploying, and maintaining robust Python-based applications and services. You will play a key role in the entire software development lifecycle, from conceptualization and design through testing, deployment, and ongoing maintenance. While core Python development is essential, we highly value candidates with an interest or experience in emerging technologies like AI/ML and Large Language Model (LLM) applications. Key Responsibilities: Design, develop, test, deploy, and maintain high-quality, scalable, and efficient Python code. Collaborate closely with product managers, designers, and other engineers to understand requirements and translate them into technical solutions. Participate in the full software development lifecycle (SDLC) using Agile methodologies. Write clean, maintainable, well-documented, and testable code. Contribute to code reviews to ensure code quality, share knowledge, and identify potential issues. Troubleshoot, debug, and upgrade existing software systems. Develop and integrate with RESTful APIs and potentially other web services. Work with databases (like Postgersql) to store and retrieve data efficiently. Optimize applications for maximum speed, scalability, and reliability. Stay up-to-date with the latest industry trends, technologies, and best practices in Python development and related fields. Potentially assist in the integration of AI/ML models or contribute to projects involving LLM-based agents or applications. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 3-4 years of professional software development experience with a primary focus on Python. Strong proficiency in Python and its standard libraries. Proven experience with at least one major Python web framework (e.g., Django, Flask, FastAPI). Solid understanding of object-oriented programming (OOP) principles. Experience working with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis). Proficiency with version control systems, particularly Git. Experience designing, building, and consuming RESTful APIs. Familiarity with Agile development methodologies (e.g., Scrum, Kanban). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Preferred (Good-to-Have) Qualifications: AI/ML Knowledge: Basic understanding of machine learning concepts and algorithms. Experience with relevant Python libraries for data science and ML (e.g., Pandas, NumPy, Scikit-learn). Experience integrating pre-trained ML models into applications. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus. LLM Experience: Demonstrable interest or hands-on experience in building applications leveraging Large Language Models (LLMs). Experience working with LLM APIs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini). Familiarity with LLM frameworks or libraries (e.g., LangChain, LlamaIndex). Understanding of basic prompt engineering techniques. Experience building or experimenting with LLM-powered agents or chatbots. Containerization & Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes. CI/CD: Experience setting up or working with Continuous Integration/Continuous Deployment (CI/CD) pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). Asynchronous Programming: Experience with Python's asynchronous libraries (e.g., asyncio, aiohttp). What We Offer: Challenging projects with opportunities to work on cutting-edge technologies especially in the field of AI. Competitive salary and comprehensive benefits package. Opportunities for professional development and learning (e.g., conferences, courses, certifications). A collaborative, innovative, and supportive work environment. Job Type: Full-time Pay: ₹16,526.97 - ₹68,399.45 per month Benefits: Food provided Health insurance Location Type: In-person Schedule: Monday to Friday Job Type: Full-time Pay: ₹16,495.06 - ₹68,422.63 per month Benefits: Food provided Health insurance Schedule: Day shift Morning shift Supplemental Pay: Yearly bonus Work Location: In person

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In quality engineering at PwC, you will focus on implementing leading practice standards of quality in software development and testing processes. In this field, you will use your experience to identify and resolve defects, optimise performance, and enhance user experience. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. About PwC CTIO – EmTech PwC’s Commercial Technology and Innovation Office (CTIO) is committed to shaping the future of technology within the firm. The EmTech (Emerging Technologies) division pioneers next-gen AI/ML/GenAI solutions, explores groundbreaking technologies, and delivers scalable innovation. We blend engineering rigor with applied AI research to transform ideas into real-world impact. We are at the intersection of software engineering and AI innovation — pushing boundaries in LLMOps , MLOps , and AI infrastructure to enable agile, secure, and scalable delivery of AI-powered products across domains. Role Overview We are seeking Test Automation QA with 4 -6+ years of experience in IT, specializing in Generative AI Testing and Test Automation management. Expertise in designing and implementing AI-driven test strategies using advanced tools. Proficient in key skills such as test strategy design, test execution planning, test development & monitoring, and enterprise testing frameworks, with a strong focus on process automation and team leadership. Key Responsibilities Design, develop, and maintain scalable and reliable test automation frameworks utilizing Python, Java/C##. Expertise in designing and implementing AI-driven test strategies using advanced tools like OpenAI, GitHub Copilot, etc. Demonstrate understanding of or possess hands-on experience with testing methodologies specific to Generative AI and large language model (LLM)-based systems. Perform thorough manual testing across web applications, APIs, and backend services to ensure functional stability and performance. Collaborate closely with software engineers and business analysts to gather and interpret requirements, ensuring comprehensive test coverage and alignment with business objectives. Execute various types of testing including functional, regression, integration, and system-level testing to ensure product quality and reliability. Develop and manage test plans, create detailed test cases, and document clear, actionable defect reports. Integrate automated test suites into CI/CD pipelines to enable continuous testing and quality assurance throughout the development lifecycle. Actively participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives, contributing to continuous improvement initiatives. Mandatory Skills Over 4 to 9 years of professional experience in the IT industry, with a strong focus on test automation management. A minimum of 1.5 years of hands-on experience in testing Generative AI systems. Proven expertise in both automated and manual testing methodologies across diverse application landscapes. Sound understanding and/or practical experience in testing strategies specific to Generative AI and Large Language Model (LLM)-based applications. Strong proficiency in API testing and backend system validation to ensure data integrity and service reliability. Skilled in developing and maintaining test automation scripts using Python and Java. Extensive experience with automation frameworks such as Pytest, Selenium, Playwright, Rest Assured. Well-versed in Continuous Integration/Continuous Deployment (CI/CD) practices, with familiarity in integrating test suites into CI/CD pipelines using industry-standard tools. Good To Have Experience with Azure DevOps (ADO) for comprehensive test management, task tracking, and collaboration within Agile development environments. Solid experience in leveraging AI and LLM evaluation frameworks like RAGAS for quality assessment, combined with proficiency in developing and validating custom GPT models for domain-specific applications. Soft Skills & Team Expectations Strong communication and documentation skills; ability to clearly articulate technical concepts to both technical and non-technical audiences. Demonstrated ability to work independently as well as collaboratively in a fast-paced environment. A builder's mindset with a strong desire to innovate, automate, and scale. Comfortable in an agile, iterative development environment. Willingness to mentor junior engineers and contribute to team knowledge growth. Show more Show less

Job Title: Senior Python Developer – Backend Engineering Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 4–8 Years About Darwix AI Darwix AI is building India’s most advanced GenAI-powered platform for enterprise sales teams. We combine speech recognition, LLMs, vector databases, real-time analytics, and multilingual intelligence to power customer conversations across India, the Middle East, and Southeast Asia. We’re solving complex backend problems across speech-to-text pipelines , agent assist systems , AI-based real-time decisioning , and scalable SaaS delivery . Our engineering team sits at the core of our product and works closely with AI research, product, and client delivery to build the future of revenue enablement. Backed by top-tier VCs, AI advisors, and enterprise clients, this is a chance to build something foundational. Role Overview We are hiring a Senior Python Developer to architect, implement, and optimize high-performance backend systems that power our AI platform. You will take ownership of key backend services—from core REST APIs and data pipelines to complex integrations with AI/ML modules. This role is for builders. You’ll work closely with product, AI, and infra teams, write production-grade Python code, lead critical decisions on architecture, and help shape engineering best practices. Key Responsibilities 1. Backend API Development Design and implement scalable, secure RESTful APIs using FastAPI , Flask , or Django REST Framework Architect modular services and microservices to support AI, transcription, real-time analytics, and reporting Optimize API performance with proper indexing, pagination, caching, and load management strategies Integrate with frontend systems, mobile clients, and third-party systems through clean, well-documented endpoints 2. AI Integrations & Inference Orchestration Work closely with AI engineers to integrate GenAI/LLM APIs (OpenAI, Llama, Gemini), transcription models (Whisper, Deepgram), and retrieval-augmented generation (RAG) workflows Build services to manage prompt templates, chaining logic, and LangChain flows Deploy and manage vector database integrations (e.g., FAISS , Pinecone , Weaviate ) for real-time search and recommendation pipelines 3. Database Design & Optimization Model and maintain relational databases using MySQL or PostgreSQL ; experience with MongoDB is a plus Optimize SQL queries, schema design, and indexes to support low-latency data access Set up background jobs for session archiving, transcript cleanup, and audio-data binding 4. System Architecture & Deployment Own backend deployments using GitHub Actions , Docker , and AWS EC2 Ensure high availability of services through containerization, horizontal scaling, and health monitoring Manage staging and production environments, including DB backups, server health checks, and rollback systems 5. Security, Auth & Access Control Implement robust authentication (JWT, OAuth), rate limiting , and input validation Build role-based access controls (RBAC) and audit logging into backend workflows Maintain compliance-ready architecture for enterprise clients (data encryption, PII masking) 6. Code Quality, Documentation & Collaboration Write clean, modular, extensible Python code with meaningful comments and documentation Build test coverage (unit, integration) using PyTest , unittest , or Postman/Newman Participate in pull requests, code reviews, sprint planning, and retrospectives with the engineering team Required Skills & QualificationsTechnical Expertise 3–8 years of experience in backend development with Python, PHP. Strong experience with FastAPI , Flask , or Django (at least one in production-scale systems) Deep understanding of RESTful APIs , microservice architecture, and asynchronous Python patterns Strong hands-on with MySQL (joins, views, stored procedures); bonus if familiar with MongoDB , Redis , or Elasticsearch Experience with containerized deployment using Docker and cloud platforms like AWS or GCP Familiarity with Git , GitHub , CI/CD pipelines , and Linux-based server environments Show more Show less

Job Title: VP-Digital Expert Support Lead Experience : 12 + Years Location : Pune Position Overview The Digital Expert Support Lead is a senior-level leadership role responsible for ensuring the resilience, scalability, and enterprise-grade supportability of AI-powered expert systems deployed across key domains like Wholesale Banking, Customer Onboarding, Payments, and Cash Management . This role requires technical depth, process rigor, stakeholder fluency , and the ability to lead cross-functional squads that ensure seamless operational performance of GenAI and digital expert agents in production environments. The candidate will work closely with Engineering, Product, AI/ML, SRE, DevOps, and Compliance teams to drive operational excellence and shape the next generation of support standards for AI-driven enterprise systems. Role-Level Expectations Functionally accountable for all post-deployment support and performance assurance of digital expert systems. Operates at L3+ support level , enabling L1/L2 teams through proactive observability, automation, and runbook design. Leads stability engineering squads , AI support specialists, and DevOps collaborators across multiple business units. Acts as the bridge between operations and engineering , ensuring technical fixes feed into product backlog effectively. Supports continuous improvement through incident intelligence, root cause reporting, and architecture hardening . Sets the support governance framework (SLAs/OLAs, monitoring KPIs, downtime classification, recovery playbooks). Position Responsibilities Operational Leadership & Stability Engineering Own the production health and lifecycle support of all digital expert systems across onboarding, payments, and cash management. Build and govern the AI Support Control Center to track usage patterns, failure alerts, and escalation workflows. Define and enforce SLAs/OLAs for LLMs, GenAI endpoints, NLP components, and associated microservices. Establish and maintain observability stacks (Grafana, ELK, Prometheus, Datadog) integrated with model behavior. Lead major incident response and drive cross-functional war rooms for critical recovery. Ensure AI pipeline resilience through fallback logic, circuit breakers, and context caching. Review and fine-tune inference flows, timeout parameters, latency thresholds, and token usage limits. Engineering Collaboration & Enhancements Drive code-level hotfixes or patches in coordination with Dev, QA, and Cloud Ops. Implement automation scripts for diagnosis, log capture, reprocessing, and health validation. Maintain well-structured GitOps pipelines for support-related patches, rollback plans, and enhancement sprints. Coordinate enhancement requests based on operational analytics and feedback loops. Champion enterprise integration and alignment with Core Banking, ERP, H2H, and transaction processing systems. Governance, Planning & People Leadership Build and mentor a high-caliber AI Support Squad – support engineers, SREs, and automation leads. Define and publish support KPIs , operational dashboards, and quarterly stability scorecards. Present production health reports to business, engineering, and executive leadership. Define runbooks, response playbooks, knowledge base entries, and onboarding plans for newer AI support use cases. Manage relationships with AI platform vendors, cloud ops partners, and application owners. Must-Have Skills & Experience 12+ years of software engineering, platform reliability, or AI systems management experience. Proven track record of leading support and platform operations for AI/ML/GenAI-powered systems . Strong experience with cloud-native platforms (Azure/AWS), Kubernetes , and containerized observability . Deep expertise in Python and/or Java for production debugging and script/tooling development. Proficient in monitoring, logging, tracing, and alerts using enterprise tools (Grafana, ELK, Datadog). Familiarity with token economics , prompt tuning, inference throttling, and GenAI usage policies. Experience working with distributed systems, banking APIs, and integration with Core/ERP systems . Strong understanding of incident management frameworks (ITIL) and ability to drive postmortem discipline . Excellent stakeholder management, cross-functional coordination, and communication skills. Demonstrated ability to mentor senior ICs and influence product and platform priorities. Nice-to-Haves Exposure to enterprise AI platforms like OpenAI, Azure OpenAI, Anthropic, or Cohere. Experience supporting multi-tenant AI applications with business-driven SLAs. Hands-on experience integrating with compliance and risk monitoring platforms. Familiarity with automated root cause inference or anomaly detection tooling. Past participation in enterprise architecture councils or platform reliability forums Show more Show less

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 4+ years of hands on experience Must Have Internal & External stakeholder management Familiarity with the CCaaS domain, CCaaS Application Development , contact center solution design & presales consulting. In-depth knowledge of CCaaS platforms like MS DCCP, Amazon Connect, NICECXOne, Genesys Cloud , Cisco Webex CC, Cisco HCS, UCCE/PCCE etc., including their architecture, functionalities, and application development, integration capabilities Governance & communication skills Hands-on configuration of Gen AI, LLM to be built on top of CCaaS platforms/Domain (MS DCCP, Amazon Connect, Genesys Cloud/NICE CX) includes, Develop and implement generative AI models to enhance customer interactions, including chatbots, virtual agents, and automated response systems. Speech scientist & speech, conversational fine-tuning (grammar & pattern analysis) Collaborate with stakeholders to identify business needs and define AI-driven solutions that improve customer experiences. Analyze existing customer service processes and workflows to identify areas for AI integration and optimization. Create and maintain documentation for AI solutions, including design specifications and user guides. Monitor and evaluate the performance of AI models, making adjustments as necessary to improve accuracy and effectiveness. Stay updated on the latest advancements in AI technologies and their applications in customer service and contact centers. Conduct training sessions for team members and stakeholders on the use and benefits of AI technologies in the contact center. Understanding of the fundamental ingredients of enterprise integration including interface definitions and contracts; REST APIs or SOAP web services; SQL,MY SQL, Oracle , PostgreSQL , Dynamo DB, S3, RDS Provide effective real time demonstrations of CCaaS & AI (Bots) platforms High proficiency in defining top notch customer facing slides/presentations Gen AI,LLM platforms MUST have technologies includes Copilot, Copilot Studio, Amazon Bedrock, Amazon Titan, Sagemaker, Azure OpenAI, Azure AI Services, Google Vertex AI, Gemini AI. Proficiency in data visualization tools like Tableau, Power BI, Quicksight and others Nice To Have Experience in CPaaS platforms (Twilio, Infobip) for synergies between Communication Platform As A Service & Contact Center As a Service Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics Work on high velocity Presales solution consulting engagements (RFP, RFI, RFQ) Define industry specific use cases (BFS & I, Telecom, Retail, Manlog etc) Work on high volume presales consulting engagements including solution design document definition, commercial construct (CCaaS) Defining Business Case Show more Show less

Job Title: AI Engineer Location: Gurgaon (On-site) Type: Full-Time Experience: 2–6 Years Role Overview We are seeking a hands-on AI Engineer to architect and deploy production-grade AI systems that power our real-time voice intelligence suite. You will lead AI model development, optimize low-latency inference pipelines, and integrate GenAI, ASR, and RAG systems into scalable platforms. This role combines deep technical expertise with team leadership and a strong product mindset. Key Responsibilities Build and deploy ASR models (e.g., Whisper, Wav2Vec2.0) and diarization systems for multi-lingual, real-time environments. Design and optimize GenAI pipelines using OpenAI, Gemini, LLaMA, and RAG frameworks (LangChain, LlamaIndex). Architect and implement vector database systems (FAISS, Pinecone, Weaviate) for knowledge retrieval and indexing. Fine-tune LLMs using SFT, LoRA, RLHF, and craft effective prompt strategies for summarization and recommendation tasks. Lead AI engineering team members and collaborate cross-functionally to ship robust, high-performance systems at scale. Preferred Qualification 2–6 years of experience in AI/ML, with demonstrated deployment of NLP, GenAI, or STT models in production. Proficiency in Python, PyTorch/TensorFlow, and real-time architectures (WebSockets, Kafka). Strong grasp of transformer models, MLOps, and low-latency pipeline optimization. Bachelor’s/Master’s in CS, AI/ML, or related field from a reputed institution (IITs, BITS, IIITs, or equivalent). What We Offer Compensation: Competitive salary + equity + performance bonuses Ownership: Lead impactful AI modules across voice, NLP, and GenAI Growth: Work with top-tier mentors, advanced compute resources, and real-world scaling challenges Culture: High-trust, high-speed, outcome-driven startup environment Show more Show less

We are looking for a skilled Python Developer with 4+ years of hands-on experience in backend development and scripting. The ideal candidate should also have working knowledge of modern JavaScript frameworks like Next.js/Node.js, along with exposure to AI APIs, cloud platforms, and modern databases. *Required Skills and Experience* Must Have: * Python: Strong experience in backend development and scripting * Experience Required: 4+ years * Next.js / Node.js: Proficiency in full-stack development using modern JavaScript frameworks. Good to Have: * Experience working with AI tools and APIs (e.g., OpenAI, Gemini, Claude) * Familiarity with frameworks like LangChain or AutoGen * Experience with SQL, MongoDB, and Vector Databases (e.g., Pinecone, FAISS, Chroma) Job Types: Full-time, Permanent Schedule: Day shift Monday to Friday Experience: work: 4 years (Preferred) Work Location: In person

SUMMARY This position is a critical part of our Business Enterprise Solutions & Technology team growth. Key responsibilities include leading our efforts to streamline cloud hosted processes and further improving our implementation. You will be empowered to develop new ideas, find new capabilities, and drive their implementation and integration inside RealPage. Succeeding in this position requires you to be a self-starter with problem-solving skills. You enjoy becoming the domain expert in multiple areas and have a strong affinity for efficient processes, a well-organized database, and a passion for clean data. If you want a work environment where your ideas are welcome and contributions are recognized, this is the place for you! PRIMARY RESPONSIBILITY Build scalable applications for cloud platforms (Azure, AWS, GCP, Oracle etc.) Building advanced cloud functions and web components Create and maintain declarative functionality using React Flows or similar (validation rules, approvals, etc.) Design data models, user interfaces, business logic and security for custom applications Transform business needs into actionable requirements and functionality Scope level of effort and potential options for delivery of functionality Data cleansing and data manipulations using various tools and scripts Ensure security, by setting up and maintaining the access and sharing rules Work collaboratively with stakeholders and customers delivering the solution REQUIRED KNOWLEDGE/SKILLS/ABILITIES 5+ years of experience implementing web projects from initiation to launch Experience with GitHub Copilot/similar to improve development quality and speed Experience with Prompt Engineering and GenAI models (OpenAI, Claude, Vertex, etc.) Develop high-quality, performant web applications using JavaScript/Typescript, React, and NextJS/NodeJS. Collaborate with cross-functional teams to design, develop, and deploy new features. Write clean, maintainable, and testable code. Participate in code reviews and provide constructive feedback to improve code quality. Troubleshoot and debug issues in a timely manner. Stay up to date with industry trends and best practices. Strong experience with Typescript, React, and NextJS/NodeJS. Experience with Redux, GraphQL, and server-side rendering is a plus. Strong understanding of web technologies such as HTML, CSS, and JavaScript. Familiarity with Agile development methodologies. Excellent problem-solving skills. Strong attention to detail and ability to write clean, maintainable code. Excellent communication skills and ability to work collaboratively with cross-functional teams. PREFERRED KNOWLEDGE/SKILLS/ABILITIES Experience with agile development (Scrum, Kanban, Mob Programming, etc.) Knowledge of SOLID principles and Clean Architecture Experience working with enterprise business apps Proficient with GIT or other comparable source version control tools Experience using Visual Studio Code for cloud development OpenJS Node.js Application Developer certifications Comfort with Whiteboarding and/or ‘Wireframe’ solutioning

Required Skills and Qualifications: Proven experience with MongoDB architecture, indexing strategies, aggregation pipelines, and performance tuning. Proficiency with Pinecone vector database, including schema design, upserts, metadata filtering, and similarity querying. Strong understanding of LLMs (e.g., OpenAI GPT models or similar), including prompt engineering, token usage, and latency optimization. Experience building and deploying conversational AI/chatbot systems using LLMs and vector search (RAG architecture). Solid backend development experience using Python (preferred) or Node.js, especially for API and service development. Familiarity with embedding generation pipelines (using Sentence Transformers, OpenAI Embeddings, etc.). Strong grasp of RESTful API design, JSON, and integration between various services and models. Understanding of key security practices for handling sensitive data in AI-powered applications. Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹25,000.00 - ₹50,000.00 per month Location Type: In-person Schedule: Day shift Work Location: In person

Must-Have Skills & Traits Core Engineering Advanced Python skills with a strong grasp of clean, modular, and maintainable code practices Experience building production-ready backend services using frameworks like FastAPI, Flask, or Django Strong understanding of software architecture , including RESTful API design, modularity, testing, and versioning. Experience working with databases (SQL/NoSQL), caching layers, and background job queues. AI/ML & GenAI Expertise Hands-on experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment Practical experience with LLMs and GenAI tools such as OpenAI APIs, Hugging Face, LangChain, or Transformers Understanding of how to integrate LLMs into applications through prompt engineering, retrieval-augmented generation (RAG), and vector search Comfortable working with unstructured data (text, images) in real-world product environments Bonus: experience with model fine-tuning, evaluation metrics, or vector databases like FAISS, Pinecone, or Weaviate Ownership & Execution Demonstrated ability to take full ownership of features or modules from architecture to delivery Able to work independently in ambiguous situations and drive solutions with minimal guidance Experience collaborating cross-functionally with designers, PMs, and other engineers to deliver user-focused solutions Strong debugging, systems thinking, and decision-making skills with an eye toward scalability and performance Nice-to-Have Skills Experience in startup or fast-paced product environments. 2-5 years of relevant experience. Familiarity with asynchronous programming patterns in Python. Exposure to event-driven architecture and tools such as Kafka, RabbitMQ, or AWS EventBridge Data science exposure: exploratory data analysis (EDA), statistical modeling, or experimentation Built or contributed to agentic systems, ML/AI pipelines, or intelligent automation tools Understanding of MLOps: model deployment, monitoring, drift detection, or retraining pipelines Frontend familiarity (React, Tailwind) for prototyping or contributing to full-stack features

Zoptal Solutions Pvt. Ltd. is a technology-driven company building innovative digital solutions across web, mobile, and AI platforms. As part of our growth journey, we're seeking an experienced and passionate AI Developer to join our core tech team and work on cutting-edge AI-powered products. Key Responsibilities: Develop, fine-tune, and deploy AI/ML models with a focus on NLP and Generative AI. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like Hugging Face . Build robust, scalable, and high-performance AI solutions using Python . Integrate and manage Vector Databases like Astra DB , and work with PostgreSQL for structured data. Collaborate with product managers and developers to define AI project requirements. Continuously improve model performance and accuracy through experimentation and optimization. Stay up-to-date with the latest research and advancements in AI/ML technologies. Required Skills and Qualifications: Strong programming skills in Python . Experience working with Hugging Face Transformers and Datasets . Understanding of RAG pipelines and retrieval-based systems. Proficiency in Vector Databases (e.g., Astra DB, FAISS) and PostgreSQL . Good understanding of machine learning fundamentals and model evaluation techniques. Ability to write clean, maintainable, and well-documented code. Preferred Skills: Experience with LangChain , LLMs , or OpenAI APIs . Background in building production-ready AI/NLP solutions. Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools. Experience required: 2 years or above Location: 8B, Mohali Work Type: Work from office, 5 Days working How to Apply: Send your updated resume to our email address with the subject, "Applying for AI Developer" Best Regards, Kavita Rai HR Manager Job Type: Full-time Pay: ₹25,000.00 - ₹60,000.00 per month Location Type: In-person Schedule: Day shift Monday to Friday Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: AI Development : 2 years (Required) Hugging Face: 2 years (Required) Astra DB/vector DB/PostGreSQL: 2 years (Required) RAG Pipeline: 2 years (Required) Location: Mohali, Punjab (Preferred) Work Location: In person Speak with the employer +91 9518295576

Overview We are seeking an experienced Reporting GenAI Consultant with a strong background in developing AI-driven reporting solutions. This role focuses on building and integrating Generative AI capabilities into BI platforms to enable natural language insights, automated report generation, and interactive dialogue with data. The ideal candidate will have hands-on experience working with LLMs, prompt engineering, and modern data visualization tools. Responsibilities Design, develop, and deploy GenAI-based reporting solutions that generate insights summaries, dashboards, and narrative analytics using structured and unstructured data. Build natural language interfaces and conversational agents for querying data (Dialogue with Data), enabling users to interact with reports through plain English. Integrate GenAI features (like ChatGPT, Azure OpenAI, or Vertex AI) with enterprise BI platforms (Power BI, Tableau, Qlik, ThoughtSpot, etc.). Implement automated insight generation using LLMs to summarize trends, detect anomalies, and generate key takeaways. Collaborate with data engineering and BI teams to optimize data models and ensure clean, prompt-ready datasets. Design and fine-tune prompts and templates for contextual report summarization and storytelling. Conduct POCs and pilots to evaluate the feasibility and impact of GenAI-driven reporting use cases. Ensure solutions are secure, scalable, and compliant with enterprise governance policies. Qualifications 10+ years of experience in Business Intelligence/Analytics with 1-2 years in Generative AI implementations. Strong experience in Power BI with exposure to augmented analytics features. Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, Google PaLM, etc.) for natural language understanding and summarization. Expertise in prompt engineering, few-shot learning, and custom summarization models. Good understanding of data storytelling, narrative generation, and auto-generated insights. Experience in integrating APIs for AI models into web or reporting tools. Familiarity with Python or JavaScript for model integration and backend logic. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with RAG (Retrieval-Augmented Generation), LangChain, or similar frameworks. Exposure to voice-based analytics or speech-to-insight solutions. Knowledge of data governance, privacy (GDPR/CPRA), and enterprise security standards. Familiarity with cloud platforms: Azure Show more Show less