Experience : 4.00 + years Salary : INR 4000000-5000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: Customer-Centric Approach, Numpy, opencv, PIL, Pytorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Description We’re seeking a hands-on AI/ML Engineer with deep expertise in large language models, retrieval-augmented generation (RAG), and cloud-native ML development on AWS. You'll be a key driver in building scalable, intelligent learning systems powered by cutting-edge AI and robust AWS infrastructure. If you’re passionate about combining NLP, deep learning, and real-world application at scale—this is the role for you. 4+ years of specialized experience in AI/ML is required. Core Skills & Technologies LLM Ecosystem & APIs • OpenAI, Anthropic, Cohere • Hugging Face Transformers • LangChain, LlamaIndex (RAG orchestration) Vector Databases & Indexing • FAISS, Pinecone, Weaviate AWS-Native & ML Tooling • Amazon SageMaker (training, deployment, pipelines) • AWS Lambda (event-driven workflows) • Amazon Bedrock (foundation model access) • Amazon S3 (data lakes, model storage) • AWS Step Functions (workflow orchestration) • AWS API Gateway & IAM (secure ML endpoints) • CloudWatch, Athena, DynamoDB (monitoring, analytics, structured storage) Languages & ML Frameworks • Python (primary), PyTorch, TensorFlow • NLP, RAG systems, embeddings, prompt engineering What You’ll Do • Model Development & Tuning o Designs architecture for complex AI systems and makes strategic technical decisions o Evaluates and selects appropriate frameworks, techniques, and approaches o Fine-tune and deploy LLMs and custom models using AWS SageMaker o Build RAG pipelines with LlamaIndex/LangChain and vector search engines • Scalable AI Infrastructure o Architect distributed model training and inference pipelines on AWS o Design secure, efficient ML APIs with Lambda, API Gateway, and IAM • Product Integration o Leads development of novel solutions to challenging problems o Embed intelligent systems (tutoring agents, recommendation engines) into learning platforms using Bedrock, SageMaker, and AWS-hosted endpoints • Rapid Experimentation o Prototype multimodal and few-shot learning workflows using AWS services o Automate experimentation and A/B testing with Step Functions and SageMaker Pipelines • Data & Impact Analysis o Leverage S3, Athena, and CloudWatch to define metrics and continuously optimize AI performance • Cross-Team Collaboration o Work closely with educators, designers, and engineers to deliver AI features that enhance student learning o Mentors junior engineers and provides technical leadership Who You Are • Deeply Technical: Strong foundation in machine learning, deep learning, and NLP/LLMs • AWS-Fluent: Extensive experience with AWS ML services (especially SageMaker, Lambda, and Bedrock) • Product-Minded: You care about user experience and turning ML into real-world value • Startup-Savvy: Comfortable with ambiguity, fast iterations, and wearing many hats • Mission-Aligned: Passionate about education, human learning, and AI for good Bonus Points • Hands-on experience fine-tuning LLMs or building agentic systems using AWS • Open-source contributions in AI/ML or NLP communities • Familiarity with AWS security best practices (IAM, VPC, private endpoints) Show more Show less

AI/ML Engineer – Stealth Project 📍 Location: Hyderabad (In-person) 🧠 Experience: 0-3 years 💼 Full-time | Immediate Start About the Project We’re building something bold — a stealth-mode AI initiative designed to push boundaries in how humans and machines work together. It’s early-stage. It’s fast-moving. We’re assembling a world-class AI team to build intelligent, agentic systems that solve real-world problems in entirely new ways. If you’ve been waiting for a chance to build with freedom, vision, and impact — this is it. About the Role We’re seeking a AI/ML Engineer to join our early team and co-create a powerful AI Agent from scratch. This isn’t just another role — it’s a hands-on opportunity to shape the architecture, direction, and soul of a next-generation AI system. You will work on agentic frameworks, LLMs, and NLP pipelines , and build systems that can reason, learn, and act autonomously — all while optimizing for speed, accuracy, and scalability. Responsibilities Design and implement intelligent systems using LLMs , agentic frameworks , and NLP pipelines . Work on multi-agent workflows , prompt chaining, memory stores, and task decomposition. Build intelligent AI agents capable of reasoning, memory, and autonomous decision-making Build and test autonomous AI agents that operate in real-time environments. Push the boundaries of human-AI interaction — in code, not theory Rapidly test, learn, and iterate in a startup-style, 0-to-1 environment Requirements 0-3 years of hands-on experience in Python and AI / ML . Strong foundation in Natural Language Processing . Experience working with LLMs (OpenAI, Cohere, Anthropic, HuggingFace, etc.). Exposure to agentic frameworks (LangChain, AutoGPT, CrewAI, etc.) is a big plus. Ability to write clean, modular code and rapidly prototype AI-driven features. Self-driven, curious, and excited about building from 0 to 1. Why Join Us? Be part of a founding team with a bold AI vision Freedom to innovate and ownership from Day 0 Work directly with builders, not layers This is your chance to shape the future , not just watch it happen. If you're ready to build from scratch — let’s talk. DM me or drop a note to 𝗶𝗻𝗳𝗼@𝗶𝗻𝗻𝗶𝗻𝗴𝘀𝟮.𝗰𝗼𝗺 with your updated CV. Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Junior Data Scientist Location: Bangalore Reporting to: Senior Manager – Analytics Purpose of the role The Global GenAI Team at Anheuser-Busch InBev (AB InBev) is tasked with constructing competitive solutions utilizing GenAI techniques. These solutions aim to extract contextual insights and meaningful information from our enterprise data assets. The derived data-driven insights play a pivotal role in empowering our business users to make well-informed decisions regarding their respective products. In the role of a Machine Learning Engineer (MLE), you will operate at the intersection of: LLM-based frameworks, tools, and technologies Cloud-native technologies and solutions Microservices-based software architecture and design patterns As an additional responsibility, you will be involved in the complete development cycle of new product features, encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design, architecture, and technology stack across multiple products, extending beyond your immediate focus. Key tasks & accountabilities Large Language Models (LLM): Experience with LangChain, LangGraph Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler Multi-modal Retrieval-Augmented Generation (RAG): Expertise in multi-modal AI systems (text, images, audio, video) Designing and optimizing chunking strategies and clustering for large data processing Streaming & Real-time Processing: Experience in audio/video streaming and real-time data pipelines Low-latency inference and deployment architectures NL2SQL: Natural language-driven SQL generation for databases Experience with natural language interfaces to databases and query optimization API Development: Building scalable APIs with FastAPI for AI model serving Containerization & Orchestration: Proficient with Docker for containerized AI services Experience with orchestration tools for deploying and managing services Data Processing & Pipelines: Experience with chunking strategies for efficient document processing Building data pipelines to handle large-scale data for AI model training and inference AI Frameworks & Tools: Experience with AI/ML frameworks like TensorFlow, PyTorch Proficiency in LangChain, LangGraph, and other LLM-related technologies Prompt Engineering: Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy Strong understanding of context window management and optimizing prompts for performance and efficiency 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) Bachelor's or masterʼs degree in Computer Science, Engineering, or a related field. Previous Work Experience Required Proven experience of 3+ years in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database. Technical Skills Required Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, LammaIndex, OLamma, etc. Proficiency in implementing and optimizing machine learning models for natural language processing. Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc. Strong programming skills in languages such as Python and proficiency in relevant frameworks. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). And above all of this, an undying love for beer! We dream big to create future with more cheer Show more Show less

About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary: We are seeking an innovative and highly skilled Senior AI Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.). Integrate NLP techniques and transformer architectures to boost customer’s product capabilities. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements. Write clean, efficient Python code while adhering to best practices in code quality and documentation. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members. Required Skills and Qualifications: Strong programming proficiency in Python for AI/ML projects. Hands-on experience with LLM frameworks such as LangChain or Haystack. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate). Deep understanding of NLP fundamentals and transformer models. Demonstrated experience with both commercial and open-source LLMs. Expertise in prompt engineering and embeddings. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration. Preferred Qualifications: Experience deploying GenAI applications at scale in production environments. Background in designing customer-facing AI solutions. Prior experience collaborating in hybrid or distributed teams. Show more Show less

About Beco Beco ( letsbeco.com ) is a fast-growing Mumbai-based consumer-goods company on a mission to replace everyday single-use plastics with planet-friendly, bamboo- and plant-based alternatives. From reusable kitchen towels to biodegradable garbage bags, we make sustainable living convenient, affordable and mainstream. Our founding story began with a Mumbai beach clean-up that opened our eyes to the decades-long life of a single plastic wrapper—sparking our commitment to “Be Eco” every day. Our mission: “To craft, support and drive positive change with sustainable & eco-friendly alternatives—one Beco product at a time.” Backed by marquee climate-focused VCs and now 50 + employees, we are scaling rapidly across India’s top marketplaces, retail chains and D2C channels. Why we’re hiring Sustainability at scale demands operational excellence. As volumes explode, we need data-driven, self-learning systems that eliminate manual grunt work, unlock efficiency and delight customers. You will be the first dedicated AI/ML Engineer at Beco—owning the end-to-end automation roadmap across Finance, Marketing, Operations, Supply Chain and Sales. Responsibilities Partner with functional leaders to translate business pain-points into AI/ML solutions and automation opportunities. Own the complete lifecycle: data discovery, cleaning, feature engineering, model selection, training, evaluation, deployment and monitoring. Build robust data pipelines (SQL/BigQuery, Spark) and APIs to integrate models with ERP, CRM and marketing automation stacks. Stand up CI/CD + MLOps (Docker, Kubernetes, Airflow, MLflow, Vertex AI/SageMaker) for repeatable training and one-click releases. Establish data-quality, drift-detection and responsible-AI practices (bias, transparency, privacy). Mentor analysts & engineers; evangelise a culture of experimentation and “fail-fast” learning—core to Beco’s GSD (“Get Sh#!t Done”) values. Must-have Qualifications 3 + years hands-on experience delivering ML, data-science or intelligent-automation projects in production. Proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL; solid grasp of statistics, experimentation and feature engineering. Experience building and scaling ETL/data pipelines on cloud (GCP, AWS or Azure). Familiarity with modern Gen-AI & NLP stacks (OpenAI, Hugging Face, RAG, vector databases). Track record of collaborating with cross-functional stakeholders and shipping iteratively in an agile environment. Nice-to-haves Exposure to e-commerce or FMCG supply-chain data. Knowledge of finance workflows (Reconciliation, AR/AP, FP&A) or RevOps tooling (HubSpot, Salesforce). Experience with vision models (Detectron2, YOLO) and edge deployment. Contributions to open-source ML projects or published papers/blogs. What Success Looks Like After 1 Year 70 % reduction in manual reporting hours across finance and ops. Forecast accuracy > 85 % at SKU level, slashing stock-outs by 30 %. AI chatbot resolves 60 % of tickets end-to-end, with CSAT > 4.7/5. At least two new data-products launched that directly boost topline or margin. Life at Beco Purpose-driven team obsessed with measurable climate impact. Entrepreneurial, accountable, bold” culture—where winning minds precede outside victories. Show more Show less

Experience: 13+ years Job Summary: We are seeking a seasoned Technical Automation Architect to lead the design and implementation of enterprise-wide Business Process Automation (BPA) solutions. This role is deeply technical, requiring hands-on expertise in automation platforms, system integration, and architectural leadership to deliver intelligent, scalable, and future-ready automation frameworks. The architect will collaborate closely with cross-functional teams to automate complex business operations, improve process efficiency, and contribute to the enterprise’s digital transformation roadmap. Key Responsibilities Design and architect robust automation solutions leveraging RPA, APIs, workflow engines, and custom scripts. Translate business processes into automation use cases with scalable technical solutions across diverse business functions. Lead automation design sessions, establish technical standards, and develop reusable automation components. Oversee technical delivery and ensure best practices in coding, exception handling, security, and deployment. Collaborate with infrastructure, data, and application teams to integrate automation across platforms and systems. Evaluate and introduce emerging technologies including AI and Generative AI to enhance automation use cases and optimize decision-making. Provide technical leadership and mentorship to development teams. Ensure automation implementations comply with enterprise governance, risk, and security frameworks. Required Skills & Experience: 13+ years of overall IT experience, with 6+ years specifically in automation architecture and solution design. Deep hands-on experience with RPA platforms such as UiPath, Microsoft Power Automate, or Automation Anywhere. Strong understanding of process orchestration, event-driven architecture, and API-based integration. Proficient in scripting languages such as Python, PowerShell, or JavaScript. Experience designing and deploying enterprise-grade automation frameworks with modular, reusable architecture. Solid knowledge of automation security, role-based access control, logging, monitoring, and performance optimization. Preferred/Desirable Experience Exposure to or hands-on experience with AI/ML and Generative AI technologies to enhance process intelligence, including use of LLMs, prompt engineering, or integration with AI services (e.g., Azure OpenAI, AWS Bedrock). Prior experience in Healthcare (e.g., claims, eligibility, provider data, HIPAA compliance) or Investment Management Systems (e.g., trade lifecycle, reconciliation, compliance workflows) Understanding of data privacy and regulatory standards such as HIPAA, SEC, FINRA, and GDPR. Certifications (Preferred): UiPath Certified Solution Architect / Microsoft Power Platform Architect. AI/ML or GenAI-related certifications (e.g., Azure AI Engineer, Google GenAI Developer) are a strong plus Requirements Preferred/Desirable Experience: Exposure to or hands-on experience with AI/ML and Generative AI technologies to enhance process intelligence, including use of LLMs, prompt engineering, or integration with AI services (e.g., Azure OpenAI, AWS Bedrock). Prior experience in Healthcare (e.g., claims, eligibility, provider data, HIPAA compliance) or Investment Management Systems (e.g., trade lifecycle, reconciliation, compliance workflows) Understanding of data privacy and regulatory standards such as HIPAA, SEC, FINRA, and GDPR. Show more Show less

YOE- 3 to 5 Yrs Location - Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech and Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India. Show more Show less

Job: Java Developer with AI Tooling Expertise Experience: 3 to 8 Years Location: Bangalore, Work from Office Mode: Permanent Job Summary We are seeking a talented Java Developer with 4-5 years of experience in backend development and a strong interest in leveraging AI tools and APIs to enhance product functionality, automation, and user experience. The ideal candidate will be proficient in Java technologies and have hands-on exposure to integrating AI capabilities into enterprise applications. Roles And Responsibilities Understand the existing architecture of the Cross Identity platform, including components, modules, and data flows. Support the design and development of scalable, secure backend services for both on-premise and cloud deployments. Integrate AI tools and APIs to improve automation, analysis, and user experience within the platform. Work with Product Owners to understand requirements and contribute to feature planning and implementation. Write clean, maintainable, and well-documented Java code following industry best practices. Conduct unit testing, support system testing, and participate in code reviews. Troubleshoot technical issues and contribute to performance tuning and optimization. Collaborate closely with senior engineers, QA, and DevOps teams for seamless delivery. Stay updated on the latest AI tools and technologies relevant to software development. Technical Skill Set Proficiency in Core Java, Spring Boot, JPA/Hibernate, REST APIs Strong understanding of OOP concepts, design patterns, and multithreading Experience with microservices, database integrations (MySQL), and deployment on Linux/Windows environments Familiarity with Spring Security, JWT, OAuth/OIDC Experience using Git, CI/CD tools (GitLab, Jenkins), Maven, and Docker Exposure to cloud platforms such as AWS or Heroku is a plus Understanding of Agile development practices, unit testing, and basic architecture concepts AI Tools Exposure Experience or familiarity with integrating external AI services such as: OpenAI, Azure Cognitive Services, AWS AI tools, Hugging Face APIs Ability to implement AI-enhanced features like summarization, auto-tagging, or pattern recognition Understanding of prompt engineering and working with third-party AI APIs Bonus: exposure to AI-assisted coding platforms or low-code AI tools Soft Skills Good problem-solving and analytical skills Strong communication and collaboration abilities Self-driven, eager to learn, and comfortable in a fast-paced environment Willingness to take ownership and contribute proactively to team success Qualifications Bachelor’s degree in Computer Science, Engineering, or related field 3-4 years of experience in Java-based application development Exposure to AI tools and APIs in a development context Java Certification is a plus Show more Show less

About Jivi Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi. The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng 's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures. Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community. Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare. Job Overview We are seeking a detail-oriented and analytical Clinical Performance Analyst to evaluate and enhance the performance of our AI-based health application. This role plays a key part in auditing clinical quality, validating AI features, and driving performance improvements to ensure safety, clinical appropriateness, and regulatory compliance across our digital health ecosystem. Key Responsibilities Evaluation & Auditing Conduct end-to-end clinical performance audits of app features, workflows, and decision trees. Identify errors, edge cases, and inconsistencies in AI-generated content and support the root cause analysis (RCA). Perform quality assurance (QA), regression testing, and scenario walkthroughs across clinical modules. AI Workflow Testing Create structured agents and workflows for evaluating diagnostic logic, health screening tools, and triage systems. Develop metrics, dashboards, and flags to monitor agent consistency, sensitivity, and appropriateness. Framework Development Build standardised frameworks for clinical auditing, evaluation metrics, and app benchmarking (accuracy, precision, reliability). Implement CAPA (Corrective & Preventive Actions) frameworks to reduce risk and improve long-term performance. Cross-Functional Collaboration Work with clinical affairs, product, engineering, and QA teams to test new modules, provide feedback, and track fixes. Collaborate with UX/UI teams on usability and design validation from a clinical user perspective. Documentation & Compliance Maintain detailed reports of audits, test cases, bug logs, and validation results. Support clinical documentation for regulatory compliance, including readiness for ISO, NABH, FDA, or MDR alignment. Clinical Intelligence & Research Stay updated on best practices in clinical validation, health AI safety, regulatory standards, and LLM performance benchmarking. Contribute to the validation of AI features in diverse domains like diagnostics, chronic care, nutrition, and mental health. Experience and Qualifications 3–5+ years in clinical quality auditing, digital health testing, or performance analytics of AI healthcare solutions. Prior experience in RCA, risk mitigation, or structured product testing in clinical informatics environments is preferred. Preferred: Nursing, Pharmacy, Life Sciences, Biomedical Sciences, BPT Relevant: Health Informatics, Medical Technology Preferred Masters: Public Health (MPH), Biomedical Engineering, Clinical Research, Health Informatics, AI in Healthcare Nice-to-Have Certifications: Certified Health Data Analyst (CHDA) Certified Clinical Research Associate (CCRA) ISTQB or equivalent software testing certifications Why Work with Jivi? Make a Global Impact : Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness. Accelerate Your Career : Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales. Lead in a High-Growth Environment : Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting. Collaborate with the Best : Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations. Jivi’s Products: Jivi is available as a mobile app or as an AI assistant on WhatsApp. You can access Jivi: iOS app Android app WhatsApp Jivi in Media: Economic Times - https://tinyurl.com/m3kep5at Reuters - https://tinyurl.com/mpcs6dpx Inc42 - https://tinyurl.com/emsdas55 more - https://www.jivi.ai/news Show more Show less

Job Title : GenAI / ML Engineer Function : Research & Development Location : Delhi/Bangalore (3 days in office) About the Company: Elucidata is a TechBio Company headquartered in San Francisco. Our mission is to make life sciences data AI-ready. Elucidata's Elucidata’s LLM-powered platform Polly, helps research teams wrangle, store, manage and analyze large volumes of biomedical data. We are at the forefront of driving GenAI in life sciences R&D across leading BioPharma companies like Pfizer, Janssen, NextGen Jane and many more. We were recognised as the 'Most Innovative Biotech Company, 2024', by Fast Company. We are a 120+ multi-disciplinary team of experts based across the US and India. In September 2022, we raised $16 million in our Series A round led by Eight Roads, F-Prime, and our existing investors Hyperplane and IvyCap. About the Role: We are looking for a GenAI / ML Engineer to join our R&D team and work on cutting-edge applications of LLMs in biomedical data processing . In this role, you'll help build and scale intelligent systems that can extract, summarize, and reason over biomedical knowledge from large bodies of unstructured text, including scientific publications, EHR/EMR reports, and more. You’ll work closely with data scientists, biomedical domain experts, and product managers to design and implement reliable GenAI-powered workflows — from rapid prototypes to production-ready solutions. This is a highly strategic role as we continue to invest in agentic AI systems and LLM-native infrastructure to power the next generation of biomedical applications. Key Responsibilities: Build and maintain LLM-powered pipelines for entity extraction, ontology normalization, Q&A, and knowledge graph creation using tools like LangChain, LangGraph, and CrewAI. Fine-tune and deploy open-source LLMs (e.g., LLaMA, Gemma, DeepSeek, Mistral) for biomedical applications. Define evaluation frameworks to assess accuracy, efficiency, hallucinations, and long-term performance; integrate human-in-the-loop feedback. Collaborate cross-functionally with data scientists, bioinformaticians, product teams, and curators to build impactful AI solutions. Stay current with the LLM ecosystem and drive adoption of cutting-edge tools, models, and methods. Qualifications : 2–3 years of experience as an ML engineer, data scientist, or data engineer working on NLP or information extraction. Strong Python programming skills and experience building production-ready codebases. Hands-on experience with LLM frameworks and tooling (e.g., LangChain, HuggingFace, OpenAI APIs, Transformers). Familiarity with one or more LLM families (e.g., LLaMA, Mistral, DeepSeek, Gemma) and prompt engineering best practices. Strong grasp of ML/DL fundamentals and experience with tools like PyTorch, or TensorFlow. Ability to communicate ideas clearly, iterate quickly, and thrive in a fast-paced, product-driven environment. Good to Have (Preferred but Not Mandatory) Experience working with biomedical or clinical text (e.g., PubMed, EHRs, trial data). Exposure to building autonomous agents using CrewAI or LangGraph. Understanding of knowledge graph construction and integration with LLMs. Experience with evaluation challenges unique to GenAI workflows (e.g., hallucination detection, grounding, traceability). Experience with fine-tuning, LoRA, PEFT, or using embeddings and vector stores for retrieval. Working knowledge of cloud platforms (AWS/GCP) and MLOps tools (MLflow, Airflow etc.). Contributions to open-source LLM or NLP tooling We are proud to be an equal-opportunity workplace and are an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Show more Show less

Organization: Leading Global Management Consulting firm Role :- Sr Manager - AI/LLM Ops Location: - Gurugram Experience: - 12+ Yrs Working Mode:- Hybrid What You'll Do We are seeking a highly skilled and experienced Platform Engineer Senior Manager with Gen AI /LLM expertise to join our Gen AI platform team. This role focuses on building and maintaining cloud-native platforms specifically designed for Generative AI and Large Language Model (LLM) development. The ideal candidate will have a strong background in platform engineering, cloud infrastructure, LLM Observability and DevOps/MLOps/LLMOps, with a passion for creating scalable, reliable, and efficient systems. What You'll Bring Bachelor's degree in computer science engineering (or equivalent degree or experience) Proven building and supporting scalable, reliable Gen AI or LLM powered applications in production. Proven experience in building & enabling self-serve observability tools, dashboards for engineering teams. 12+ years of relevant experience in delivering and maintaining platform or complex technology solutions with strong technical background, preferably in global organization/ enterprise. 1+ years of experience in develop, deploy, test, and maintain production-grade access to LLMs and related services. Strong expertise in Modern Engineering, DevOps / GitOps, Infra as a Code practices - Strong understanding of CI/CD, AI/ ML pipelines and automation tools. Experience & Skills (Mandatory)¿ Strong knowledge and experience in Generative AI/ LLM based development. Strong experience in building and integrating LLM observability tools Strong experience in optimizing LLM performance, usage and cost Strong experience in building CI/CD pipeline templates for AI SDLC (ML Ops, RAG pipelines, Data Ingestion pipelines) Proficiency in cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, Terraform Cloud, Github Actions, ArgoCD and equivalent). Experience with containerization and orchestration technologies (Kubernetes, Docker). Strong experience working with and enabling key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Expertise in building enterprise grade, secure data ingestion pipelines for structured/ unstructured data – including indexing, search, and advance retrieval patterns. Proficiency in Python, Go, Terraform (and equivalent) Experience in LLM Testing and Evaluation is preferred Experience with security related to LLM integration is preferred Show more Show less

Role: React Js with Gen Ai We are looking for strong Reactjs and Next js with backend Node exposure. Strong communication with GEN AI experience. We are also looking for someone who are techno-manager and able to handle a team. Required Qualifications: 7+ years of professional experience in frontend development with a strong focus on React.js. Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3. Deep understanding of React Hooks, Context API, and component-based architecture. Proven experience integrating with RESTful APIs and/or GraphQL. Demonstrable experience integrating Generative AI components or LLM APIs into web applications (e.g., OpenAI API, Hugging Face Inference API, Vercel AI SDK, LangChain.js). Experience with handling API response streaming (e.g., Server-Sent Events). Strong experience with state management libraries (e.g., Zustand, Jotai, Redux, TanStack Query). Familiarity with modern frontend build pipelines and tools (e.g., Webpack, Vite, Babel, npm/yarn). Experience with testing frameworks (e.g., Jest, React Testing Library). Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Job Type: Full-time Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Schedule: Day shift Application Question(s): Are you Immediate Joiner or Serving Notice period? What's your salary expectation? Experience: React: 8 years (Preferred) Gen AI: 8 years (Preferred) JavaScript: 8 years (Preferred) HTML: 8 years (Preferred) APIs: 8 years (Preferred) GraphQL: 8 years (Preferred) Work Location: In person

Job Title: Backend Developer Internship In Mohali Location: Mohali Duration : 6 Months Stipend Details: Rs.10,000-15,000/month Job Summary: We are looking for a passionate and enthusiastic Intern to join our IT software solutions team. This internship provides an excellent opportunity to gain hands-on experience in full-stack development, working on cutting-edge technologies, including AI-driven applications. The ideal candidate should have a strong interest in both front-end and back-end development and be eager to learn and grow in a dynamic work environment. Responsibilities: Assist in the design, development, and maintenance of web applications and software solutions. Work with senior developers to implement front-end and back-end features using modern frameworks and technologies. Write clean and efficient code under the guidance of experienced developers. Participate in debugging, troubleshooting, and improving application performance. Collaborate with cross-functional teams to understand project requirements and deliver quality solutions. Learn and work on AI and machine learning integration as an additional skill. Stay updated with the latest trends and advancements in software development. Requirements: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, IT, or a related field. School Education Board should be CBSE/ICSE Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, React.js, Angular, or Vue.js. Understanding of back-end development with Node.js, Python, Java, or PHP. Familiarity with databases like MySQL, PostgreSQL, or MongoDB. Exposure to cloud platforms such as AWS, Azure, or Google Cloud is a plus. Basic understanding of version control systems (Git, GitHub, GitLab). Interest in AI/ML technologies (TensorFlow, PyTorch, OpenAI, or related frameworks) is a plus. Strong problem-solving skills and eagerness to learn new technologies. Good communication and teamwork skills. Job Types: Full-time, Permanent, Internship Contract length: 6 months Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you willing to relocate to Mohali ? What is your School Education Board ? Work Location: In person

We’re a forward-thinking tech company working with international clients to build scalable digital solutions. As we expand our backend team, we’re looking for a skilled Backend Engineer who is not only experienced with Node.js and Python , but also interested in working with modern AI technologies and integrating them into real-world applications. Key Responsibilities: Design, build, and maintain robust, scalable backend systems and APIs Collaborate on AI-powered features (e.g., data processing, model integration, ML pipelines) Work closely with frontend developers to ensure seamless integration and user experience Optimize backend performance, scalability, and reliability across services Identify, troubleshoot, and resolve complex backend issues with efficiency Conduct code reviews and mentor junior team members Stay updated on backend and AI technology trends to bring innovation to the team Requirements: Strong programming expertise in Node.js and Python Solid understanding of API design, microservices, and cloud architecture (AWS/Azure/GCP) Experience with AI/ML libraries (such as TensorFlow, PyTorch, OpenAI, or Hugging Face) is a big plus. Familiarity with integrating third-party AI tools, APIs, or building custom AI features Deep knowledge of performance tuning, caching strategies, and database design Excellent problem-solving abilities with strong attention to detail Effective communication and team collaboration skills What We Offer: Work with a global client base on AI-driven projects Opportunities to upskill in AI and backend advancements Join a collaborative team that values innovation and high-quality code Job Type: Full-time Location Type: In-person Work Location: In person

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

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving discussions and contribute to the overall success of the projects by leveraging your expertise in application development. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the documentation of application specifications and requirements. - Collaborate with cross-functional teams to ensure seamless integration of applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure OpenAI Service. - Good To Have Skills: Experience with cloud computing platforms and services. - Strong understanding of application development methodologies. - Familiarity with programming languages relevant to application development. - Experience in troubleshooting and debugging applications. Additional Information: - The candidate should have minimum 3 years of experience in Microsoft Azure OpenAI Service. - This position is based at our Chennai office. - A 15 years full time education is required. 15 years full time education

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place. Your Impact As a Data Engineer I at McKinsey & Company, you will play a key role in designing, building, and deploying scalable data pipelines and infrastructure that enable our analytics and AI solutions. You will work closely with product managers, developers, asset owners, and client stakeholders to turn raw data into trusted, structured, and high-quality datasets used in decision-making and advanced analytics. Your core responsibilities will include: Developing robust, scalable data pipelines for ingesting, transforming, and storing data from multiple structured and unstructured sources using Python/SQL. Creating and optimizing data models and data warehouses to support reporting, analytics, and application integration. Working with cloud-based data platforms (AWS, Azure, or GCP) to build modern, efficient, and secure data solutions. Contributing to R&D projects and internal asset development. Contributing to infrastructure automation and deployment pipelines using containerization and CI/CD tools. Collaborating across disciplines to integrate data engineering best practices into broader analytical and generative AI (gen AI) workflows. Supporting and maintaining data assets deployed in client environments with a focus on reliability, scalability, and performance. Furthermore, you will have opportunity to explore and contribute to solutions involving generative AI, such as vector embeddings, retrieval-augmented generation (RAG), semantic search, and LLM-based prompting, especially as we integrate gen AI capabilities into our broader data ecosystem. Your Growth Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your qualifications and skills Bachelor’s degree in computer science, engineering, mathematics, or a related technical field (or equivalent practical experience). 3+ years of experience in data engineering, analytics engineering, or a related technical role. Strong Python programming skills with demonstrated experience building scalable data workflows and ETL/ELT pipelines. Proficient in SQL with experience designing normalized and denormalized data models. Hands-on experience with orchestration tools such as Airflow, Kedro, or Azure Data Factory (ADF). Familiarity with cloud platforms (AWS, Azure, or GCP) for building and managing data infrastructure. Discernable communication skills, especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues, at all levels. High-value personal qualities including critical thinking and creative problem-solving skills; an ability to influence and work in teams. Entrepreneurial mindset and ownership mentality are must; desire to learn and develop, within a dynamic, self-led organization. Hands-on experience with containerization technologies (Docker, Docker-compose). Hands on experience with automation frameworks (Github Actions, CircleCI, Jenkins, etc.). Exposure to generative AI tools or concepts (e.g., OpenAI, Cohere, embeddings, vector databases). Experience working in Agile teams and contributing to design and architecture discussions. Contributions to open-source projects or active participation in data engineering communities.

Job Title: Senior Software Architect & Technical Lead Location: Onsite – Ahmedabad, India Experience: 8+ Years Employment Type: Full-Time Role Overview We are looking for a highly skilled and hands-on Senior Software Architect & Technical Lead to join our core team in Ahmedabad. This individual will lead the end-to-end architecture, development, and technical execution across a range of enterprise, AI-powered, and end-user applications. The ideal candidate is both a builder and a strategist—equally comfortable writing code, guiding teams, and shaping the technical direction of the organization. Key Responsibilities Architecture & Design Architect scalable, modular, and secure platforms with long-term maintainability. Design system-wide components and enforce technical standards across teams. Own architecture reviews, risk mitigation, and technical documentation. AI-Enabled Development Architect and integrate AI tools (e.g., LLMs, recommendation engines, chatbots). Work with prompt engineering, vector databases, and generative AI APIs (e.g., OpenAI, Hugging Face). Guide team members on practical AI use cases across platforms. Security-Driven Engineering Implement secure-by-design principles across backend and frontend systems. Ensure alignment with OWASP, GDPR, SOC2, and other relevant compliance frameworks. Perform secure code reviews and threat modeling sessions. End-User Application Engineering Architect robust, performant user-facing applications (web/mobile/desktop). Collaborate with product and design teams on usability, accessibility, and interaction design. Define and promote frontend architecture and scalable design systems. Leadership & Mentorship Serve as a technical authority across engineering squads. Mentor engineers on design patterns, architecture principles, and technical strategy. Help define KPIs and performance benchmarks for team and product. Requirements Education & Experience Job Type: Full-time Pay: ₹916,802.88 - ₹2,297,783.07 per year Schedule: Day shift Work Location: In person Speak with the employer +91 9081068979 Expected Start Date: 14/06/2025

Job Title: .NET Developer with Generative AI Experience Experience: 4 years in .NET, 1+ year in AI/ML (preferably Generative AI) Job Summary: We are seeking a talented and forward-thinking .NET Developer with hands-on experience in Generative AI technologies to join our innovative development team. The ideal candidate will have a strong foundation in .NET development and practical exposure to AI models, tools, or APIs such as OpenAI, Azure AI, or Hugging Face. You will work on cutting-edge applications that integrate traditional software development with AI-powered features. Responsibilities: Design, develop, and maintain scalable .NET applications (C#, ASP.NET Core, MVC, Web APIs). Integrate Generative AI APIs/models (OpenAI GPT, Azure OpenAI, etc.) into applications. Collaborate with data scientists or AI engineers to deploy and optimize AI models. Implement prompt engineering techniques to fine-tune generative AI outputs. Work with Azure services (Azure Functions, Logic Apps, AI Studio, etc.). Ensure application performance, scalability, and security. Write clean, maintainable, and testable code with best practices. Participate in code reviews, team meetings, and R&D for new AI features. Required Skills & Experience: Strong programming skills in C#/.NET Core and experience with RESTful APIs. Good knowledge of front-end technologies (React, Angular, or Blazor is a plus). Exposure to Generative AI APIs like OpenAI (ChatGPT, DALL·E, etc.) or Hugging Face. Experience working with Azure Cognitive Services , Azure AI Studio, or similar platforms. Basic understanding of machine learning concepts and prompt tuning. Familiarity with JSON, API integration, and third-party libraries. Strong problem-solving, debugging, and analytical skills. Excellent communication and teamwork abilities. Preferred Qualifications: Experience in deploying AI-based applications in production environments. Knowledge of vector databases (e.g., Pinecone, Redis, or ChromaDB). Hands-on with chatbot frameworks or voice assistants. Microsoft certifications in Azure or AI are a plus. Education: Bachelor’s/Master’s degree in Computer Science, Information Technology, or a related field. Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Education: Bachelor's (Preferred) Experience: .NET: 4 years (Preferred) total work: 6 years (Preferred) Work Location: In person

Job Information: Work Experience : 5-6 years Industry : IT Services and Consulting Job Type : Full Time, Permanent Location : Noida Job Responsibilities: Build and maintain full-stack web applications using React.js, Next.js, Node.js, and TypeScript Integrate AI models (OpenAI, Claude) and work on AI chat interfaces Use prompt engineering techniques to improve AI responses and user experiences Leverage AI-native tools like Cursor, Replit, Copilot, and Tannine to write and review clean, maintainable code Work with LangChain, AutoGen, or Manus frameworks for advanced AI workflows Collaborate with cross-functional teams including designers, backend developers, and AI engineers Actively participate in sprint planning and discussions with business stakeholders Optimize performance and scalability using best practices and modern DevOps tools Ship features quickly using platforms like Vercel, Supabase, Railway, and n8n Skill & Abilities: 5-6 years of hands-on experience in full stack development Strong hands-on experience with React.js, Next.js for frontend, and Node.js, Express for backend development. Proficiency in working with PostgreSQL databases and hosted solutions like Supabase. Experience integrating and working with AI/LLM APIs such as OpenAI (ChatGPT) and Claude, along with familiarity with frameworks like LangChain, AutoGen, or Manus. Comfortable using modern development and deployment tools like Vercel, Railway, n8n, GitHub, and AI-powered IDEs such as Cursor, Replit, GitHub Copilot, or Tabnine. Strong proficiency in JavaScript, React, Next.js, Node.js, TypeScript Experience with AI APIs such as OpenAI and Claude Practical knowledge of prompt engineering and vector search concepts Familiarity with modern IDEs and AI coding assistants (GitHub Copilot, Tabnine, etc.) Experience working with PostgreSQL and deployment tools like Vercel and Railway Excellent problem-solving and communication skills Leadership qualities and the ability to mentor junior developers Interview Process Application Review HR Screening Technical Assessment Final Interview Offer & Onboarding Perks Of Joining Avya Technology Avya Tech is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best experienced people in every job. Avya Tech policy prohibits unlawful discrimination based on race. Hybrid Work – Remote or Office Flexibility to allow employees to take personal time with work. Flexible Timings To empower employees to manage things in a fast-paced life. Training Practical training & learning from the experts and mentors. Paid Certifications Sponsorship opportunities to invest in personal & career development. Rewards and Recognition To value and appreciate the performance on a regular basis. Team Building Indoor & outdoor team building workshops and activities.

About the job We are looking for a talented and experienced UI/UX Designer to join our team. The ideal candidate is passionate about creating intuitive and visually appealing user experiences across both web and mobile platforms. You will be working across multiple product lines and collaborating with various stakeholders to deliver high-quality design solutions. What will you do? Developing and conceptualizing a comprehensive UI/UX design strategy for the brand. Presenting ideas, concepts, and design solutions to various stakeholders Working closely with multiple stakeholders like product, development & client facing teams to define and implement innovative solutions for the product direction, visuals, and experience. Producing high-quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, process flows, site maps, and prototypes. Developing and maintaining documentation regarding style guidelines. Developing well thought-out user experience flows for new and existing products. Identifying design problems and devising elegant solutions. Providing advice and guidance on the implementation of UX research methodologies and testing activities in order to analyze and predict user behavior. We are looking for: Bachelor’s degree in computer science or similar. 7+ years of experience, within UI/UX Design, exposure to designing interfaces for both B2B and B2C products is a plus. Proficient in industry-standard design tools such as Adobe XD, Photoshop, Illustrator, and other relevant software. Capable of context switching and managing design tasks across multiple product lines. Strong communication and interpersonal skills; able to articulate design decisions clearly to a range of stakeholders. Creative problem-solver with a strong attention to detail and a commitment to high-quality work. Proven ability to find creative solutions to complex problems, balancing user needs with business goals. Meticulous with a strong attention to detail, consistently delivering high-quality, polished work. Maintains a comprehensive portfolio of professional UI/UX designs for both web and mobile applications, showcasing a range of user-centered solutions. Additional Responsibilities: Integrate AI-powered tools (e.g., GitHub Copilot, OpenAI Codex, Gemini Agent) into daily development workflows. Utilize AI tools for code generation, debugging, testing, and documentation enhancements. Participate in evaluating and adopting emerging AI technologies to improve development productivity and software quality. Collaborate with AI tools to identify opportunities for code optimization and refactoring. Nice to have Skills: Experience or willingness to learn AI-assisted coding tools (e.g., GitHub Copilot, Gemini, OpenAI Codex). Understanding of best practices for integrating AI tools within the software development lifecycle. Ability to effectively interpret AI-generated code suggestions and improvements.

Roles & Responsibilities Job Description We are looking for passionate, enthusiastic Gen AI Developer for DXP Studio role. As a Generative AI (GenAI) Evangelist, you will serve as a bridge between cutting-edge AI capabilities and the strategic goals of our marketing and martech teams. Your role is to identify real-world problems and opportunities within marketing workflows, campaign planning, customer experience, content generation etc and then envision and prototype GenAI-driven solutions, independent of a single technology or vendor stack. Key Responsibilities Include Partner with Digital experience Platforms Implementation teams and customer marketing and martech teams to uncover inefficiencies, pain points, and innovation opportunities where GenAI can create value. Ideate, prototype, and evangelize GenAI use cases such as content creation, personalization at scale, campaign optimization, customer journey analysis, etc. Translate business problems into GenAI-powered solutions, regardless of the underlying tech (OpenAI, IBM Watsonx, Google, Meta, open-source models, etc.). Educate and inspire internal stakeholders through demos, workshops, and thought leadership around GenAI capabilities and trends. Stay on the pulse of emerging GenAI tools and applications relevant to marketing (text, image, audio, video generation, chatbot personalization, etc.). Collaborate with engineering, data, and platform teams to evaluate feasibility and assist in pilot deployments. In this role you will report to Solutions Architect and presales consultants and will be responsible for quick PoCs, PoVs and demos. Qualifications Computer Science graduate Experience 0 to 5 years Knowledge of popular languages / frameworks (Java, Python, JavaScript, Node JS, React etc) Credentials of applying Generative AI technologies in practical scenarios. Hands-on experience working with GenAI tools (e.g., OpenAI, Midjourney, Adobe Firefly, Claude, DALL·E, IBM watsonx, etc.). Experience identifying business use cases and turning them into AI-powered workflows or prototypes (e.g., using prompt engineering, low-code/no-code AI tools, or APIs). Proven ability to communicate complex technical ideas to non-technical audiences. Desirable Skills Understanding of Marketing technologies and platforms Participation in GenAI bootcamps, online certifications (Coursera, LinkedIn Learning, etc.), or hackathons is a plus. Previous work with marketing or creative teams is highly preferred. Soft Skills Curious Problem-Solver: You ask the right questions, challenge assumptions, and think creatively about applying technology in new ways. Strong Communicator: Comfortable presenting to marketing leaders and simplifying technical details for varied audiences. Empathetic Listener: Able to understand the needs of marketing professionals and translate them into AI-enabled opportunities. Adaptable & Tech-Agnostic: Can evaluate and work across multiple GenAI platforms or vendors without attachment to a single stack. Self-Starter: Can work independently, take initiative, and drive projects from concept to outcome with minimal oversight. Collaborative Mindset: Enjoys working cross-functionally and knows how to influence without authority. Experience 3-4.5 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

IT is a global leader in industrial packaging products and services. We are committed to providing innovative solutions that enhance our customers productivity and sustainability. Our team is dedicated to excellence, and we strive to create a collaborative and inclusive work environment. Position Overview It is seeking a skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have 2 to 4 years of experience in developing and deploying GenAI and AI/ML solutions to production. This requires hands on experience with no code, low code, and SDKs to build AI systems. The candidate should be proficient in working with data platforms such as Microsoft Azure, Snowflake, GenAI platform such as Azure AI Foundry, Azure OpenAI, Copilot Studio, and ChatGPT. The ability to manage small projects with minimal supervision and a working knowledge of the Agile methodology are essential. The candidate must be comfortable with ambiguity and a fastpaced PoC (Proof of Concept) delivery schedule. KeyResponsibilities Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule. Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes. Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc. Manage small to medium-sized projects with minimal supervision. Apply Agile methodology to ensure efficient project delivery. Make informed decisions under uncertainty and adapt to changing project requirements. Qualifications Bachelor or master degree in AI, computer science, Engineering, mathematics or a related field. 2 to 4 years of experience in developing and deploying AI/ML solutions to production. Hands on experience with no code, low code, and SDKs for AI system development. Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory. Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems. Strong understanding of Agile methodology and project management. Ability to manage projects independently and make decisions under ambiguity. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system Advanced Python programming. Handson experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse Building Copilot agents and embedding them into systems such as Workday, Teams, etc. Mandatory Skills Gen AI Python data storage systems - especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse Show more Show less

We are looking for a skilled LLM / GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks. This role requires not only technical proficiency but also excellent communication skills and the ability to guide and upskill junior team members. Exposure to cutting-edge concepts like multi-agent collaboration, Memory-Context-Planning (MCP), and agent-to-agent workflows is highly desirable. Job Responsibilities: Lead the design and development of GenAI/LLM-based products and solutions. Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques. Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows. Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc. Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents. Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends. Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals. Requirements: 4+ years of total software development experience with a strong foundation in Python. 2–3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment. Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc. Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search. Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma). Exposure to agent frameworks and multi-agent orchestration. Excellent written and verbal communication skills. Proven ability to lead and mentor team members on technical and architectural decisions. Experience with cloud platforms (AWS/GCP/Azure) for deploying LLMs at scale. Knowledge of ethical AI practices, bias mitigation, and model interpretability. Background in machine learning, natural language processing (NLP), or AI research. Publications or contributions to open-source LLM projects are a plus. Benefits: Competitive Compensation and Benefits Half Yearly Appraisals Friendly Environment Work-life Balance 5 days working Flexible office timings Employee-friendly leave policies Work from Home (with prior approvals) Show more Show less