4225 Openai Jobs - Page 44

About MostEdge MostEdge empowers retailers with smart, trusted, and sustainable solutions to run their stores more efficiently. Through our Inventory Management Service, powered by the StockUPC app , we provide accurate, real-time insights that help stores track inventory, prevent shrink, and make smarter buying decisions. Our mission is to deliver trusted, profitable experiences—empowering retailers, partners and employees to accelerate commerce in a sustainable manner. Job Summary: We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs) , who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications . The ideal candidate should have hands-on experience with foundation model customization , prompt engineering , retrieval-augmented generation (RAG) , and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI , or Anthropic’s Claude . Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning , parameter-efficient fine-tuning (LoRA, QLoRA, PEFT) , or prompt tuning . Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain , LlamaIndex , Haystack , or OpenAI Assistants API . Use embedding models , vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB ), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock , Azure OpenAI , Google Vertex AI , Anthropic Claude , or OpenAI API . Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails , content moderation , and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related fields. 3–6+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems . Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex . Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters . Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services . Preferred Skills: Experience with open-source LLMs : Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows , or multi-agent LLM orchestration . Experience with multi-turn conversation modeling , dialogue state tracking. Understanding of model quantization , distillation , or fine-tuning in low-resource environments. Familiarity with ethical AI practices , hallucination mitigation, and user alignment. Tools & Technologies: LLM Frameworks - Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs - OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases - FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps - Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms - AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring - Prometheus, MLflow, Langfuse, Weights & Biases Benefits: Competitive salary with performance incentives. Work with cutting-edge GenAI and LLM technologies. Build real-world products using state-of-the-art AI research. Job Types: Full-time, Permanent Pay: From ₹400,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Monday to Friday Morning shift Night shift Rotational shift US shift Weekend availability Supplemental Pay: Performance bonus Quarterly bonus Yearly bonus Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

Job Type: Full Time Job Location: Ahmedabad We are looking for a dynamic AI & Automation Strategist to drive the implementation of intelligent, automation-first solutions across internal departments. This role is ideal for someone who thrives on solving problems through technology and has a systems-thinking approach to optimize workflows. You’ll work cross-functionally to embed AI tools and automation into everyday operations, transforming the way our teams work and deliver value. Key Responsibilities Identify opportunities for AI and automation across departments such as Sales, Project Management, Development, QA, SEO, Design, and HR. Design and manage efficient workflows using n8n, Zapier, or other automation tools to streamline internal processes. Coordinate with team leads to evaluate inefficiencies and recommend AI-powered solutions. Integrate AI into QA and development tasks like documentation, testing, and repetitive coding workflows. Collaborate with the Sales team to automate CRM updates, lead nurturing flows, email campaigns, and reporting. Develop internal tools, scripts, or dashboards that support day-to-day team functions. Guide teams on how to effectively use AI tools, craft prompts, and ensure ethical usage practices. Pilot new tools, evaluate results, and continuously refine implementation strategies. Provide technical input and support for AI-based internal projects. Desired Skills Minimum 6 months of hands-on experience in AI or automation-related projects. Familiarity with low-code/no-code platforms (n8n, Zapier, Make, or similar). Working knowledge of AI APIs/tools such as OpenAI, Hugging Face, or Google Vertex AI. Basic proficiency in JavaScript or Python for task automation and API integration. Understanding of frontend/backend workflows (HTML, CSS, PHP) and QA cycles. Ability to build simple tools and integrations to enhance team productivity. Strong analytical and problem-solving skills with attention to documentation. Effective communicator with the ability to explain technical ideas to non-technical users. Nice to Have Experience building internal tools or automations to improve team workflows. Exposure to concepts like vector databases, LangChain, or agent-based automation. Previous involvement in AI/automation training or workshops. Awareness of AI ethics and best practices in data usage. Familiarity with automation in development pipelines or DevOps environments.

Job Title: Senior Java Developer Location: Noida, Pune, Chennai(Hybrid) Skills: ● Strong proficiency in Java. ● Strong experience in building applications that interact with relational databases using SQL. ● Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures. ● History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control. Nice-to-have skills ● Working knowledge of microservices architectures and Domain-Driven Design approaches. ● Some experience and knowledge of Python. ● Some experience and knowledge of JavaScript/Node.js. ● Some experience and knowledge of ORMs like Hibernate or JPA. Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): ● Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs ● Practical experience of using MongoDB Requirements ● 5 to 7 years’ of experience working as a software developer. call& msg- 9916086641 Job Type: Contractual / Temporary Pay: ₹1,100,000.00 - ₹1,500,000.00 per year Location Type: In-person Work Location: In person

CONSULTANT Noida 7-9 Years INDIA Job Description (Posting). Lead the design, development, and deployment of Generative AI models and solutions on cloud platforms such as Microsoft Azure, AWS, or GCP.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Drive the end-to-end lifecycle of AI/ML projects, from data collection and preprocessing to model training, evaluation, and deployment.Mentor and guide junior team members, fostering a culture of continuous learning and innovation.Stay updated with the latest advancements in Generative AI and AI/ML technologies, and integrate them into ongoing projects.Optimize and fine-tune AI models for performance, scalability, and reliability.Develop and maintain comprehensive documentation for all AI/ML projects and processes.Qualifications:10-13 years overall IT experience. Out of which 3-4 years hands-on experience in AI/ML, and at least 1 year in Generative AI.Strong proficiency in Python programming and experience with AI/ML frameworks, models and algorithms. Strong experience with leading LLMs, RAG, agentic automation, and agent frameworks like Lang Chain, Lang Graph, AutoGen, AutoGPT for Generative AI use-cases.Hands-on experience in Gen AI observability & monitoring via tools like Lang SmithExperience with deep learning, CNN, NLP, text-to-speech, speech-to-text, OCR, and image processing techniques.Experience in Infrastructure related use-cases leveraging Autonomous Agents and/or agentic platform. Should have hands-on experience building Autonomous agents for Gen AI related use-cases.Extensive experience with cloud platforms (Microsoft Azure/AWS/GCP/IBM WatsonX) and their AI/ML services.Extensive experience in Prompt Engineering and ability to design and build Prompt libraries for various scenarios applicable in Infrastructure.Thorough understanding of Responsible AI best practices and standards and experience of implementing them in Gen AI related projectsProven track record of leading and delivering complex AI/ML projects.Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.Strong communication and leadership skills, with the ability to articulate technical concepts to non-technical stakeholders.Preferred Skills:Experience with natural language processing (NLP) and computer vision.Familiarity with MLOps practices and tools.Knowledge of data engineering and big data technologies. (1.) To adhere to quality standards, regulatory requirements and company policies (2.) To ensure positive customer experience and CSAT through First Call Resolution and minimum rejected resolutions / Reopen Cases (3.) To participate or contribute on EN business in creation of proposals to drive Service improvement plans. (4.) To independently resolve tickets & esnure that the agreed SLA of ticket volume and time are met for the team. (5.) To provide support for on call escalations /L3 level support and doing incident & problem management (6.) Work on value adding activities such Knowledge base update & management, Training freshers, coaching analysts & conducting interviews/participation in hiring drives. Qualification B-Tech No. of Positions 1 Skill (Primary) Data Science-Artificial Intelligence-Gen AI Auto req ID 1486356BR Skill Level 3 (Secondary Skill 1) Data Science-Artificial Intelligence-Azure OpenAI Skill Level 3 (Secondary Skill 2) Microsoft-Azure Analytics-Azure ML

Role Summary: We are seeking a highly skilled and hands-on AI/ML Engineer with 1+ years of experience in design, development, and deployment of cutting-edge generative AI solutions integrated with robust data engineering practices. The ideal candidate will work across our AI initiatives, including NLP, deep learning, and end-to-end ML/data pipelines Key Responsibilities ● AI/ML Architecture & Development ○ Implement and deploy machine learning models in production environments ○ Work with generative AI models and NLP techniques (e.g., OpenAI, Claude APIs) ○ Apply prompt engineering and retrieval-augmented generation (RAG) techniques ○ Build end-to-end ML workflows from data preprocessing to model evaluation ○ Contribute to the development of conversational AI solutions ● Software Engineering & Data Pipeline Development ○ Design, build, and maintain data pipelines and end-to-end ML workflows. ○ Build and deploy web services that integrate ML models ○ Implement APIs using frameworks like FastAPI or Flask ○ Work with databases (preferably MySql) and data processing tools ○ Ensure code quality, performance, and security in all implementations ● Deployment & Integration ○ Build production-grade ML models and APIs and deploy them on cloud platforms with the help of DevOps team. ○ Ability to Monitor, analyze, and optimize the performance of deployed models and data workflows with the help of Devops team ● Collaboration ○ Work closely with cross-functional teams including data scientists and software engineers ○ Contribute to a culture of learning and innovation ○ Adapt to challenges even when requirements are ambiguous Technical Requirements ● Programming & Frameworks: ○ Strong proficiency in Python with hands-on experience in TensorFlow, PyTorch, Keras, and related ML libraries/Ecosystem. ○ Experience with data science tools (pandas, NumPymatplotlib, scikit-learn) ● Generative AI Expertise: ○ Knowledge of generative AI models and frameworks, including OpenAI APIs, LangChain, LangGraph, Hugging Face Transformers, and related technologies. ○ Experience in fine-tuning large language models (LLMs) and implementing RAG systems leveraging vector databases like Pinecone or similar. ○ Experience in developing multi-agent Retrieval-Augmented Generation (RAG) applications, integrating automated workflows to streamline data retrieval, processing, and response generation. ● API Development: ○ Experience in developing and deploying APIs using frameworks like FastAPI or Flask. Qualifications : ● Bachelor’s degree in Computer Science, Engineering or related field. ● 3 years of hands-on experience in AI/ML engineering, with expertise in generative AI and data engineering. ● Excellent problem-solving, analytical, and communication skills. ● Ability to work independently in a fast-paced, dynamic environment while effectively collaborating with cross-functional teams.

About Illumina Technology Solutions, LLC At Illumina Technology Solutions, we are experiencing rapid growth across the U.S.A., Canada, India, and Pakistan and are proud to be a Microsoft Gold Partner. We are committed to providing technology solutions that help organizations thrive in a fast-changing digital landscape. Our vision is to become a leader in digital transformation for our clients, leveraging the power of the Microsoft digital ecosystem to drive innovation and growth. Visit us at www.illuminatechnology.com About the role We are seeking a highly skilled AI Lead Engineer—technical Consultant with expertise in designing and developing scalable, high-performance AI solutions. The ideal candidate will have extensive experience in artificial intelligence, machine learning, and generative AI and strong leadership skills to drive innovation and technical excellence. Essential Functions Collaborate with stakeholders, including project managers and technical leads, to define and understand business and technical requirements Design, develop, and optimize AI-powered applications, ensuring scalability, performance, and security Lead discussions on AI architecture, development best practices, and solution design Implement and fine-tune large language models (LLMs) and generative AI applications Apply prompt engineering techniques to enhance AI model interactions and outputs Develop and maintain clean, extensible, and maintainable code using modern programming languages Integrate Azure OpenAI, Copilot Studio, Azure AI Search, and other AI/ML platforms into enterprise solutions Apply debugging tools and analyze system logs to ensure high-quality code and system performance Drive continuous improvements through Agile development, CI/CD, and DevOps best practices Collaborate with cross-functional teams across different geographies to deliver AI-driven solutions that align with business objectives Must Have Skills Hands-on experience with Gen AI development, Prompt engineering, RAG design patterns, and multi-agent workflow automation and integration, preferably via Microsoft AI products like Copilot Exposure and experience working on large-scale data-intensive platforms Hands-on experience with Python and deep learning programming skills using PyTorch, TensorFlow, or similar Exposure to AI performance, consistency, and efficiency improvements Microsoft Specific Certification and Industry Certifications are a must-have Required Qualifications Bachelor’s degree in computer science, Engineering, or a related technical field 10+ years of technical engineering experience with expertise in at least one of the following programming languages: Python, C, C++, C#, Java, JavaScript Experience in Prompt Engineering and LLM fine-tuning Understanding of Azure OpenAI, Copilot Studio, Azure AI Search, and M365 Declarative Agent (Preferred) Experience in large language models (LLM) fine-tuning and prompt engineering Expertise in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn Experience with AI-driven applications, generative AI, and NLP models Hands-on experience with Agile methodologies and CI/CD pipelines for AI solutions Strong problem-solving skills, with the ability to handle complex and large-scale AI projects Effective communication and collaboration skills to work with remote and diverse teams Preferred Qualifications Experience with Machine Learning Platforms and Systems Prior experience working with Microsoft Cloud-based AI solutions Prior experience leading AI/ML teams and mentoring junior engineers We are an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Job Title: Data Scientist / MLOps Engineer (Python, PostgreSQL, MSSQL) Location: Kolkata (Must) Employment Type: Full-Time Experience Level: 1–3 Years About Us: We are seeking a highly motivated and technically strong Data Scientist / MLOps Engineer to join our growing AI & ML team. This role involves the design, development, and deployment of scalable machine learning solutions, with a strong focus on operational excellence, data engineering, and GenAI integration. Key Responsibilities: Build and maintain scalable machine learning pipelines using Python. Deploy and monitor models using MLFlow and MLOps stacks. Design and implement data workflows using standard python libraries such as PySpark. Leverage standard data science libraries (scikit-learn, pandas, numpy, matplotlib, etc.) for model development and evaluation. Work with GenAI technologies, including Azure OpenAI and other open source models, for innovative ML applications. Collaborate closely with cross-functional teams to meet business objectives. Handle multiple ML projects simultaneously with robust branching expertise. Must-Have Qualifications: Expertise in Python for data science and backend development. Solid experience with PostgreSQL and MSSQL databases. Hands-on experience with standard data science packages such as Scikit-Learn, Pandas, Numpy, Matplotlib. Experience working with Databricks , MLFlow , and Azure . Strong understanding of MLOps frameworks and deployment automation. Prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI is a big plus. Preferred Qualifications: Experience in the Finance, Legal or Regulatory domain. Working knowledge of clustering algorithms and forecasting techniques. Previous experience in developing reusable AI frameworks or productized ML solutions. Education: B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. Why Join Us? Work on cutting-edge ML and GenAI projects. Be part of a collaborative and forward-thinking team. Opportunity for rapid growth and technical leadership. Job Type: Full-time Pay: ₹344,590.33 - ₹1,050,111.38 per year Benefits: Leave encashment Paid sick time Paid time off Provident Fund Work from home Education: Bachelor's (Required) Experience: Python: 3 years (Required) ML: 2 years (Required) Location: Kolkata, West Bengal (Required) Work Location: In person Application Deadline: 02/08/2025 Expected Start Date: 04/08/2025

Job Description: Python Developer (FastAPI + AI/GenAI Experience) Position Title: Python Developer – FastAPI & AI Integration Location: On-site (preferred) | Remote (optional based on skillset) Experience Required: Minimum 3 years in Python backend development Core Skills Requirements: • ✅ Strong experience in Python (3+ years). ✅ Hands-on expertise with FastAPI or similar modern Python web frameworks. ✅ Knowledge of Admin Panel Development using Django Admin, Flask Admin, or custom UIs. ✅ Understanding of API integrations, authentication (JWT/OAuth2), and database design. ✅ Good understanding of modern AI trends including: o Generative AI (GenAI) o Generative UI (GenUI) concepts o Integration with LLMs (OpenAI, Gemini, etc.) ✅ Familiarity with SQL & NoSQL databases (PostgreSQL, MySQL, MongoDB). ✅ Git version control and CI/CD familiarity. Roles & Responsibilities: Backend Development & Optimization: o Build, maintain, and scale RESTful APIs using FastAPI or Django. o Implement efficient backend logic for handling chatbot agents and AI workflows. Admin Panel & Dashboard Development: o Create and manage admin panels to monitor AI operations and model performance. o Develop intuitive tools for internal usage (e.g., content moderation, analytics viewers, etc.). AI Integration: o Work with the AI team to integrate GenAI models and APIs into the backend. o Support the deployment and monitoring of LLM pipelines (chatbots, text classification, etc.). Research & Innovation: o Stay updated with new GenAI and backend development tools. o Propose enhancements and adopt new tech trends for continuous improvement. Nice-to-Have (Optional but Preferred): Exposure to LangChain, LlamaIndex, or other AI orchestration tools. Experience with Docker, Kubernetes, and deployment pipelines. • Understanding of Vector Databases (FAISS, ChromaDB, etc.). Experience integrating third-party APIs and services (Google AI Studio, OpenAI, etc.). Basic frontend understanding (HTML/CSS, JS) for admin UIs. Job Type: Full-time Pay: ₹650,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person Speak with the employer +91 9109134415

As a partner to businesses and governments, Crane Authentication offers expertise and cutting-edge innovations that protect and enhance products, secure identities, safeguard revenues and enforce compliance. Customers from different business sectors and levels of government trust our team of 1,250 people for their expertise in R&D, security design, engineering and data-driven insights. We are an integral part of Crane NXT , a c$2 billion dollar business with over 5,000 associates Summary : Crane Authentication provides a range of software platforms with sophisticated anti-counterfeit, anti-piracy, anti-fraud capabilities and track and trace solutions capable of handling billions of transactions per day. Our customers are global brands and Governments. We are seeking a highly skilled and forward-thinking AI Engineer experienced in designing, deploying, and operationalizing modern AI solutions using Generative AI , Agentic AI frameworks , Retrieval-Augmented Generation (RAG) , and Model Context Protocol (MCP) for intelligent multi-agent orchestration. In this role, you’ll build context-aware AI agents capable of dynamic memory management, tool-based reasoning, multi-modal interaction, and consistent state maintenance across distributed AI ecosystems. You’ll work at the forefront of autonomous AI system design integrating multi-model workflows, RAG pipelines, tool-augmented agents, and persistent context protocols. Key Accountability: Design, develop, and deploy advanced AI systems leveraging LLMs , multi-modal models , and autonomous agent frameworks . Architect and implement Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval. Develop and manage context-aware AI agents leveraging Model Context Protocol (MCP) or equivalent structured context management mechanisms for persistent memory, multi-agent collaboration, and session continuity. Implement context propagation, state serialization, and contextual handoff mechanisms across distributed agents, tools, and reasoning chains. Integrate AI systems with cloud APIs, vector databases, plugin architectures, and orchestration frameworks for multi-step task execution. Optimize memory management, prompt engineering, and dynamic context windows for complex, long-running AI workflows. Lead AI agent orchestration initiatives using frameworks like LangChain , Semantic Kernel , CrewAI , or AutoGen , with MCP integration for context tracing and governance. Stay ahead of emerging trends in multi-agent LLM ecosystems , autonomous reasoning frameworks , and context-aware AI protocol standards like MCP. Required Experience: 3+ years of AI engineering experience, with direct expertise in: Generative AI (GenAI) frameworks (OpenAI, Hugging Face, Anthropic, Mistral) Agentic AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI) Retrieval-Augmented Generation (RAG) system design and deployment Model Context Protocol (MCP) or structured context management solutions in multi-agent, multi-tool AI workflows Strong software engineering skills in Python , including AI/ML libraries like PyTorch , TensorFlow , Transformers , and RAG toolkits. Hands-on experience working with vector databases (Pinecone, FAISS, Weaviate, Chroma) and plugin-based AI architectures . Strong understanding of AI memory management, session context propagation, and multi-agent communication protocols. Programming framework/language: Python, JS or Java. Vector databases (Pinecone, FAISS, Weaviate, Chroma) and plugin-based AI architectures . Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Solid understanding of statistics, data structures, and algorithms. Preferred Skills: Experience integrating multi-modal models (text, image, audio, video) into agentic workflows. Familiarity with AI safety, observability, and context integrity management in distributed AI systems. Exposure to LLMOps pipelines , prompt optimization techniques, and AI agent performance tuning. Experience contributing to open-source AI orchestration frameworks or context management libraries. Understanding of AI alignment, ethical AI principles, and responsible AI design. Experience with Deep learning in NLP, computer vision, or reinforcement learning. Education Qualification: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. 4+ years of experience working as a software engineer developing commercial software. Experience using collaborative tools such as: Slack, Microsoft Teams, and Jira. Common to all roles To ensure full participation in the performance development review (PDR) process and maintain an up-to-date record of all training and development activities/programs. To always act and behave in a way compliant with all Crane Authentication’s company guidelines and policies, especially those relating to values and behaviours, environmental health and safety, ethics and codes of conduct, as it is through living our values that we strengthen the culture of our business and demonstrate our understanding of our Code of Business Principles. Further information on our company values can be found in our “Living the Values” guidelines. WHAT’S IN IT FOR YOU? Work for a market leading, established product company. Nice modern offices with great facilities. Health Insurance. 24 days holidays plus national holidays. Life Insurance. Crane Authentication is part of Crane NXT Crane NXT is a premier industrial technology company that provides proprietary and trusted technology solutions to secure, detect, and authenticate what matters most to its customers. Crane NXT has approximately 5,000 employees with global operations and manufacturing facilities in the United States, the United Kingdom, Mexico, Japan, Switzerland, Germany, Sweden, and Malta. For more information, visit www.cranenxt.com. We value diversity at our company. Everyone who applies with the qualifications will receive consideration for employment without regard to: age, colour, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. We receive a high number of applications, so apologies if we are unable to provide specific feedback. If we feel you are a fit for the role, we’ll be in contact.

JD #3 5+ years of experience in AI and machine learning Should have hands-on experience in deploying at least one end to end GenAI project Proven experience with Azure OpenAI LLMs and its application in enterprise environments Strong programming skills in Python and familiarity with AI development tools and libraries. Knowledge of AI model training, fine-tuning, and deployment processes Excellent problem-solving and analytical skills Effective communication and interpersonal skill

We are looking for a highly skilled, AI-native, and results-oriented Full Stack Python Developer to join our on-premises software development team. The ideal candidate will be responsible for building modern web applications, integrating AI tools and automation platforms (like ChatGPT, Claude, Gemini, n8n, Make.com), and implementing event-driven architectures using Python and modern JavaScript frameworks. This role is perfect for someone who thrives in a fast-paced, innovation-driven environment and believes in working smarter with AI. Key Responsibilities: Design, build, and deploy full stack applications using Python (Django, FastAPI, or Flask) and frontend frameworks (React.js, Vue.js, or Next.js). Integrate and operationalize AI tools and LLM APIs such as ChatGPT, Claude, Gemini, and GitHub Copilot into development workflows and product features. Develop automation and workflow systems using n8n , Make.com , or Zapier to improve operational efficiency and productivity. Implement event-driven microservices using Pub/Sub systems like Kafka, RabbitMQ, Redis Streams, or Google Pub/Sub. Manage background task queues using Celery, RQ, or equivalent tools for asynchronous processing. Design and expose RESTful APIs and GraphQL endpoints and integrate with third-party systems. Work with cloud environments (AWS/GCP), containerization (Docker), and CI/CD pipelines for deployment and scalability. Collaborate with cross-functional teams in Agile sprints to deliver high-performance, maintainable, and testable code. Stay updated with the latest trends in AI, automation, and developer productivity tools. Requirements: 2–3 years of full stack development experience with strong proficiency in Python (Django/FastAPI/Flask) and modern frontend technologies. Proven experience integrating and working with AI tools like OpenAI (ChatGPT), Claude, Gemini, GitHub Copilot, and other LLM APIs . Hands-on experience using automation platforms such as n8n , Make.com , or Zapier . Strong understanding of event-driven architecture and Pub/Sub systems (Kafka, Redis Streams, RabbitMQ, etc.). Experience with asynchronous task queues (Celery, RQ) and scalable backend design. Proficiency in REST APIs, GraphQL , and microservices. Familiarity with cloud platforms ( AWS/GCP ), containerization ( Docker ), and CI/CD workflows. Excellent problem-solving, debugging, and collaboration skills. Ability to work full-time from our office location and contribute in a high-performance team environment. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹35,254.10 per month Education: Bachelor's (Required) Experience: Python: 2 years (Required) Vue.js: 1 year (Required) n8n: 1 year (Preferred) make.com: 1 year (Preferred) Docker: 1 year (Required) AWS: 1 year (Required) AI: 2 years (Required) React.js: 2 years (Required) Kafka: 1 year (Required) Redis: 1 year (Required) Location: Panchkula, Haryana (Required) Work Location: In person Application Deadline: 30/07/2025 Expected Start Date: 10/08/2025

Job Title: Expert AI Engineer Location: Noida, Uttar Pradesh Company: EdPi Education and Technology Pvt Ltd Job Type: Full Time Experience: 2-4 Years Salary: ₹10 – ₹18 LPA (based on experience and skills) About EdPi: EdPi is a collaborative research and development centre dedicated to leveraging the power of artificial intelligence and machine learning to transform education. We bring together a diverse network of leading universities, research institutions, technology companies, and philanthropic organizations across the United States and India. About the Role: We are looking for an Expert AI Engineer with deep experience in building and deploying intelligent systems. The ideal candidate will have experience in backend or frontend or full stack development with a strong track record in prompt engineering , AI-agent development , and multi-agent systems , along with a passion for staying ahead in the rapidly evolving AI landscape. This is a high-impact role where you’ll shape the development of cutting-edge AI solutions and work at the forefront of applied artificial intelligence. Key Responsibilities: Design, develop, and deploy advanced AI agents capable of handling complex tasks. Lead the development of multi-agent systems that collaborate, reason, and learn. Apply prompt engineering techniques to optimize LLM-based outputs for real-world applications. Collaborate cross-functionally to integrate AI solutions into larger systems and workflows. Perform backend/frontend/full stack development for sophisticated cloud applications Stay current with the latest developments in AI/ML, LLMs, agent frameworks, and research papers. Rapidly prototype and iterate on new ideas and agent capabilities. Requirements: Demonstrated expertise in AI agent development, including hands-on experience building and running production-ready AI agents. Strong knowledge of prompt engineering principles and best practices. Experience in developing multi-agent systems and orchestration logic. Proficiency in Python and popular AI frameworks (e.g., LangChain, OpenAI, Hugging Face, AutoGen, etc.). Deep understanding of LLMs and how to adapt them to different tasks. Proven track record of backend/frontend/full stack development Ability to work independently, solve ambiguous problems, and drive innovation. Nice to Have: Experience with reinforcement learning or fine-tuning large models. Contributions to open-source AI/agent-related projects. Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).

About Us At NexusLink Services , we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, we’re looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with deep expertise in Generative AI to design and implement cutting-edge models that solve real business problems. You will work with LLMs, GANs, RAG frameworks , and transformer-based architectures to build production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.) Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures Customize and fine-tune LLMs for domain-specific use cases Build and manage robust ML pipelines for training, evaluation, and deployment Collaborate with engineering teams to integrate models into real-world applications Stay updated with the latest GenAI research, tools, and trends Analyze model outputs, monitor performance, and ensure responsible AI use Required Skills Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers Deep understanding of LLMs, GANs, RAG, Autoencoders , etc. Experience with LoRA, PEFT , or similar fine-tuning techniques Familiarity with Vector Databases (FAISS, Pinecone) and embeddings Expertise in data preprocessing, synthetic data generation Solid knowledge of NLP, prompt engineering , and language model safety Hands-on experience with model deployment, APIs , and cloud platforms (AWS/GCP/Azure) Nice to Have Experience with Chatbots, Conversational AI , or AI Assistants Familiarity with LangChain, LLMOps , or serverless model deployment Background in MLOps, Docker/Kubernetes , and CI/CD pipelines Exposure to OpenAI, Anthropic, Google Gemini , or Meta LLaMA

Job Title : Senior Software Engineer. Exp : 5 Years to 10 Years. Location : Bangalore. Responsibilities Understand GenAI at a sufficient level of curiosity and usage (beyond simple applications such as using ChatGPT such as understanding and usage of Lang Chain, Lang Graph, Crew AI, OpenAI APIs etc. Have 5 years of experience working on Product Engineering teams building service-oriented or general microservice-based applications using Python. Can work in a fast-paced environment and can get ideas quickly off the ground with minimal support (ideally has experience working in a mix of large enterprises and startups). Skill Requirements Programming languages: Python and Typescript Basic understanding of LLM (OpenAI/Gemini/…) API and SDK Basic understanding of AI frameworks like Langchain, CrewAI etc. Has some exposure and understanding of Observability and Reliability (such as familiarity with OTEL, understanding of SLOs) Has some degree of familiarity with Cloud environments such as Azure, GCP and AWS If you are passionate about applying your experience in the AI/ML field to an emerging and advancing field of Generative AI, this is a great opportunity for you. You will get to work on a groundbreaking product poised to revolutionize the way companies approach LLM Evaluations. Join our team at Galileo and help us build the future of Evaluations in Generative AI.

Company Description At EdTechTree, we empower educators to grow their digital presence and elevate their teaching impact. We offer complete teaching and branding solutions under one roof, including classroom content, PPTs, YouTube strategy, SEO, graphic design, video editing, and digital marketing. With over 5 years of experience in the edtech space, our founder established EdTechTree to provide high-quality content and reliable services that educators can trust. Today, we support teachers, creators, and edupreneurs across India with the tools they need to teach better, grow faster, and build their personal brands confidently. Role Description 👨‍💻 Breakfast, lunch, dinner — bas code chahiye! Looking for a mad genius (a.k.a co-founder) who: Talks in APIs, Dreams in automation flows, And gets emotional over clean UI + fast backend. ❌ Kya nahi milega: 💸 Paise — abhi nahi, par future me sath milke chaapenge 💰 ✅ Kya milega: 🔥 Equity 🔥 Perplexity Pro (kyunki Google se bore ho gaye) 🔥 Google AI Pro (kyunki free me kuch nahi milta) 🔥 Half-built SaaS product (mujhe bhi lagta tha bana lunga... par ab tu chahiye!) Qualifications 1. Technical Expertise Proficient in full-stack development (preferably MERN stack, Firebase, or similar) Hands-on experience in building a SaaS application Strong understanding of REST APIs, automation tools (Zapier, Make, etc.), and third-party integrations Ability to integrate AI tools such as OpenAI, Google AI, Perplexity API, etc. Familiar with database design, cloud functions, and deployment (Firebase, Vercel, Cloud Run) 2. Product Ownership & Startup Mentality Willing to take full technical ownership of the product Ability to build MVPs rapidly with minimal resources Founder mindset with commitment to long-term growth Comfortable working in uncertain, fast-paced startup environments 3. Collaboration & Communication Strong communication and decision-making skills Ability to work closely with the non-technical founder to plan product roadmap and priorities Willingness to iterate quickly based on user feedback 4. Bonus/Preferred Qualifications Prior experience as a technical founder or in an early-stage startup Familiarity with UI/UX design principles or collaboration with designers Experience with user analytics tools, CRM integrations, and payment gateways Familiarity with agile tools like Trello, Notion, Jira, etc.

About the Role We are seeking a Full Stack Developer who is passionate about building intelligent, scalable web applications. The ideal candidate thrives in a fast-paced environment, has a strong grasp of both frontend and backend frameworks, and brings innovative thinking with AI integration capabilities Responsibilities Design, develop, and maintain scalable web applications using Next.js , Vue.js/Nuxt , React , and NestJS Build RESTful and GraphQL APIs using NestJS Design and optimize MySQL databases for performance and scalability Integrate and experiment with AI models to enhance product capabilities Collaborate with cross-functional teams in an agile environment Apply logical reasoning to solve complex problems and create efficient workflows Write clean, maintainable, and testable code Participate in code reviews, daily stand-ups, and sprint planning Required Skills Proficiency in JavaScript/TypeScript and modern frameworks ( Next.js , React , Vue.js , Nuxt ) Strong backend experience with NestJS , Node.js , and API design Experience with MySQL , including schema design and optimization Familiarity with AI/ML technologies (e.g., OpenAI, TensorFlow, LangChain, or similar APIs/libraries) Solid understanding of logical reasoning, data structures, and algorithms Strong debugging, troubleshooting, and performance tuning skills Ability to thrive in team-based environments and contribute to collaborative success 2+YEARS experience must Nice to Have Experience deploying apps on GCP , AWS , or Vercel Familiarity with Docker, CI/CD, and version control (Git) Basic understanding of UI/UX design principles Experience working in agile/scrum settings Why Join Us? Supportive, friendly work culture that values collaboration and creativity Negotiable salary based on skills and experience Opportunity to work with AI-driven products in an innovative environment Ongoing learning and career growth opportunities How to Apply Send your resume, portfolio (if available), and a brief note about your recent project to careers@nanonino.com . Let’s build the future together! Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Paid sick time Provident Fund Schedule: Day shift Morning shift Experience: Full-stack development: 2 years (Preferred) Language: English (Preferred) Location: Peelamedu, Coimbatore, Tamil Nadu (Preferred) Shift availability: Night Shift (Preferred) Work Location: In person

Mandatory Skill sets - Python, OpenAI, Vector dbs, GenAI models, Agentic AI Good to have skills - Azure Cognitive Services(Vision, Speech and language search, AI Search), Development experience in Azure, RAG development, Retrieval Solutions on Structured data, Azure Container Apps and functions, Azure Data lake, Azure Blob storage, Azure Cosmos DB , Azure SQL DB, Azure data factory, Azure Data bricks, Azure Web Apps, semantic kernel, Power BI, SharePoint, Data ingestion pipeline, APIs, React, Devops, Agile framework, LLM, SLM, Other Models, fine tuning

Job Description: SDE-II – Python Developer Job Title SDE-II – Python Developer Department Operations Location In-Office Employment Type Full-Time Job Summary We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities • Develop, test, and maintain backend applications using Django, Flask, or FastAPI. • Build RESTful APIs and integrate third-party services to enhance platform capabilities. • Utilize data handling libraries like Pandas and NumPy for efficient data processing. • Write clean, maintainable, and well-documented code that adheres to industry best practices. • Participate in code reviews and mentor junior developers. • Collaborate in Agile teams using Scrum or Kanban workflows. • Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications • 2 to 5 years of experience in backend development with Python. • Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. • Strong command over at least one Python framework (Django, Flask, or FastAPI). • Experience with data libraries like Pandas and NumPy. • Understanding of authentication/authorization mechanisms, middleware, and dependency injection. • Familiarity with version control systems like Git. • Comfortable working in Linux environments. Must-Have Skills • Expertise in backend Python development and web frameworks. • Strong debugging, problem-solving, and optimization skills. • Experience with API development and microservices architecture. • Deep understanding of software design principles and security best practices. Good-to-Have Skills • Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). • Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). • Knowledge of containerization tools (Docker, Kubernetes). • Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. • Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). • Familiarity with Agile practices and tools like Jira or Trello. • Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Company Overview We specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture is a unique blend of in-office and remote collaboration, prioritizing our employees above everything else. At our company, you’ll find an environment where continuous learning, leadership opportunities, and mutual respect thrive. We are proud to foster a culture where individuals are valued, encouraged to evolve, and supported in achieving their fullest potential. Benefits and Perks • Competitive Salary: Earn up to ₹6 –10 LPA based on skills and experience. • Generous Time Off: Benefit from 18 annual holidays to maintain a healthy work-life balance. • Continuous Learning: Access extensive learning opportunities while working on cutting-edge projects. • Client Exposure: Gain valuable experience in client-facing roles to enhance your professional growth.

Total Experience: 4 to 12 years Location: NCR/Mumbai/Bangalore Responsibilities: Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. Ensure scalability, security, and performance of deployed automation solutions in production environments. Experience: 4+ years of hands-on experience in AI/ML, generative AI, or automation development. Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: Exceptional communication skills to articulate technical concepts to non-technical stakeholders. Strong problem-solving and analytical skills to address complex automation challenges. Ability to work collaboratively in a fast-paced, client-facing environment. Proactive mindset with a passion for adopting emerging technologies. Preferred Qualifications Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer).

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.

Scope of the Role: The Principal Data Scientist will lead the architecture, development, and deployment of cutting-edge AI solutions, driving innovation in machine learning, deep learning, and generative AI. The role demands cutting edge expertise in advanced Gen AI development, Agentic AI development, optimization, and integration with enterprise-scale applications while fostering an experimental and forward-thinking environment. This senior level hands-on role offers an immediate opportunity to lead next-gen AI innovation, drive strategic AI initiatives, and shape the future of AI adoption at scale in large enterprise and industry applications. Reports To: Chief AI Officer Reportees: Individual Contributor Role Minimum Qualification: Bachelor’s or Master’s/PhD in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a related field. Advanced certifications in AI/ML frameworks, GenAI, Agentic AI, cloud AI platforms, or AI ethics preferred. Experience: A minimum of 15+ years of experience in AI/ML, with a proven track record in deploying AI-driven solutions – and deep expertise and specialty in Generative AI (use of proprietary and open source LLMs/ SLMs/ VLMs/ LCMs, experience in RAG, fine tuning and developing derived domain-specific models, multi agent frameworks and agentic architecture, LLMOps) Expertise in implementing the Data Solutions using Python programming, pandas, numpy, sklearn, pytorch, tensorflow, Data Visualizations, Machine Learning Algorithms, Deep Learning architectures, LLMs, SLM, VLM, LCM, generative AI, agents, prompt engineering, NLP, Transformer Architectures, GPTs, Computer Vision, and ML Ops for both unstructured and structured data, synthetic data generation Experience in building generic and customized Conversational AI Assistants Experience working in innovation-driven, research-intensive, or AI R&D-focused organizations. Experience in building AI solutions for Construction or Manufacturing, Oil & Gas industries would be good to have. Objective / Purpose: The Principal Data Scientist will drive breakthrough AI innovation for pan-L&T businesses, by developing the scalable, responsible, and production-ready Gen AI and Agentic AI models using RAG with multi LLMs and derived domain specific models where applicable. This role involves cutting-edge research, model deployment, AI infrastructure optimization, and AI strategy formulation to enhance business capabilities and user experiences. Key Responsibilities: AI Model Development & Deployment: Design, train, and deploy ML/DL models for predictive analytics, NLP, computer vision, generative AI and AI Agents. Applied AI Research & Innovation: Explore emerging AI technologies such as LLMs, RAG (Retrieval-Augmented Generation), fine tuning techniques, multi-modal AI, agentic architectures, reinforcement learning, and self-supervised learning with application-orientation. Model Optimization & Scalability: Optimize AI models for inference efficiency, explainability, and responsible AI compliance. AI Product Integration: Work collaboratively with business teams, data engineers, ML Ops teams, and software developers to integrate AI models into applications, APIs, and cloud platforms. AI Governance & Ethics: Ensure compliance with AI fairness, bias mitigation, and regulatory frameworks (GDPR, CCPA, AI Act). Cross-functional Collaboration: Partner with business teams, UX researchers, and domain experts to align AI solutions with real-world applications. AI Infrastructure & Automation: Develop automated pipelines, Agentic model monitoring, and CI/CD for AI Solutions . Technical Expertise: Machine Learning & Deep Learning: TensorFlow, PyTorch, Scikit-learn, Regression, Classification, clustering, Ensembling techniques – bagging, boosting, recommender systems, Probability distributions and data visualizations Generative AI & LLMs: OpenAI GPT, Google Gemini, Llama, Hugging Face Transformers, RAG, CAG, KAG, knowledge on Other LLMs, SLM, VLM, LCM, Langchain NLP & Speech AI: BERT, T5, Whisper Computer Vision: YOLO, OpenCV, CLIP, Convolutional Neural Networks(CNN). ML Ops & AI Infrastructure: ML flow, Kubeflow, Azure ML. Data Platforms : Databricks, Pinecone, FAISS, Elasticsearch, Semantic Search, Milvus, Weaviate Cloud AI Services: Azure Open AI & Cognitive Services. Explainability & Responsible AI: SHAP, LIME, FairML. Prompt Engineering Publish internal/external research papers, contribute to AI patents, and present at industry conferences and workshops. Evaluate Open-Source AI/ML frameworks and commercial AI products to enhance the organization’s AI capabilities. Behavioural Attributes: Business Acumen – Ability to align AI solutions with business goals. Market Foresight – Identifying AI trends and emerging technologies. Change Management – Driving AI adoption in dynamic environments. Customer Centricity – Designing AI solutions with user impact in mind. Collaborative Leadership – Working cross-functionally with diverse teams. Ability to Drive Innovation & Continuous Improvement – Research-driven AI development. Key Value Drivers: Advancing AI-driven business transformation – securely, optimally and at scale Reducing time-to-value for AI-powered innovations. Enabling AI governance, compliance, and ethical AI adoption. Future Career Path : The future career path will be establishing oneself as a world class SME having deep domain experience and thought leadership around application of next gen AI technologies in the construction, energy and manufacturing domains. Career would progress from technology specialization into leadership roles, in various challenging positions such as Head – AI Strategy and Chief AI Officer, in driving the enterprise AI strategies, governance, and innovation for various ICs/BUs across the pan L&T Businesses.

Python Developer – FastAPI & AI Integration Location: On-site (preferred) | Experience Required: Minimum 3 years in Python backend development Strong experience in Python (3+ years). Hands-on expertise with FastAPI or similar modern Python web frameworks. Knowledge of Admin Panel Development using Django Admin, Flask Admin, or custom UIs. Understanding of API integrations, authentication (JWT/OAuth2), and database design. Good understanding of modern AI trends including: o Generative AI (GenAI) o Generative UI (GenUI) concepts o Integration with LLMs (OpenAI, Gemini, etc.) Familiarity with SQL & NoSQL databases (PostgreSQL, MySQL, MongoDB). Git version control and CI/CD familiarity. • Backend Development & Optimization: o Build, maintain, and scale RESTful APIs using FastAPI or Django. o Implement efficient backend logic for handling chatbot agents and AI workflows. • Admin Panel & Dashboard Development: o Create and manage admin panels to monitor AI operations and model performance. o Develop intuitive tools for internal usage (e.g., content moderation, analytics viewers, etc.). • AI Integration: o Work with the AI team to integrate GenAI models and APIs into the backend. o Support the deployment and monitoring of LLM pipelines (chatbots, text classification, etc.). • Research & Innovation: o Stay updated with new GenAI and backend development tools. o Propose enhancements and adopt new tech Nice to have • Exposure to LangChain, LlamaIndex, or other AI orchestration tools. • Experience with Docker, Kubernetes, and deployment pipelines. • Understanding of Vector Databases (FAISS, ChromaDB, etc.). • Experience integrating third-party APIs and services (Google AI Studio, OpenAI, etc.). • Basic frontend understanding (HTML/CSS, JS) for admin UIs.

Experience : 6.00 + years Salary : INR 1200000-1800000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: Strategic SEO Roadmap, Planning, consultative, Content clustering, Topical authority, AI SEO / AIO / Prompt Engineering, OpenAI, Surfer, LLM Uplers is Looking for: About the Role: We are hiring a Senior SEO Strategist who thrives at the intersection of consultation, business problem solving, AI-SEO, and strategic outcomes. This is not a traditional SEO execution role. You will own client discovery, define the right organic growth strategy, and lead SEO roadmap creation aligned with KPIs, business goals, and modern search behavior (LLMs, AI Overviews, zero-click SERPs). You must be fluent in Topical Authority, LLM-based search shifts, AIO frameworks, and know how to convince clients to invest in future-ready SEO. Shift Time: Work Schedule: 4:00 PM to 1:00 AM IST (Aligned with US Time Zones) Employment Type: Full-Time, on the payroll of Mavlers Important Note: This is an in-house role at Mavlers. The selected candidate will be part of the Mavlers core team, not directly employed by or placed with any external client. Key Responsibilities: Client Discovery & Consultation: Conduct onboarding sessions to extract goals, gaps, constraints & define a clear SEO problem statement. Strategic Roadmapping: Build and present full-funnel organic strategies aligned to TOFU–MOFU–BOFU, AI-friendly content formats, and LLM summarization logic. SEO Proposal Engineering: Translate client requirements into detailed, result-oriented SEO quote decks and proposals. Back every step with data + forecast logic. AIO & LLM Strategy Development: Build AIO-first SEO workflows: prompt engineering for content briefs, schema-first content plans, SGE visibility optimization, FAQ schema targeting, and SGE-ready hub pages. Performance Deep-Dives: Conduct insight-driven audits using GSC, GA4, Semrush, Looker Studio. Go beyond traffic: segment by funnel stage, entity coverage, topical gaps. Quarterly Strategy Reviews: Lead client meetings with actionable next-steps: what changed, what worked, what’s next. Back every recommendation with metrics and business reasoning. Cross-Country + Multi-Vertical Experience: Guide SEO strategy across eCommerce, SaaS, B2B, marketplace, or local with full adaptability. You’re a Fit If You… Think like a consultant, not a coordinator Can turn unclear goals into structured, achievable roadmaps Lead with logic, clarity, and conviction in front of stakeholders Translate SEO into business outcomes, not just rankings or traffic Are deeply familiar with AIO workflows, LLM prompt design, topical clustering, EEAT, and zero-click strategy What You’ll Use GA4, GSC, Semrush, Ahrefs, Screaming Frog AI tools like ChatGPT, Jasper, SurferSEO, NeuronWriter Looker Studio / Data Studio for funnel and KPI dashboards Prompt templates, content calculators, and AI-integrated briefs Success Looks Like Clear, strategic SEO direction defined for every client Measurable organic KPIs aligned to client goals Strong client retention due to insight-driven delivery AIO and LLM-led workflows generating measurable visibility in AI overviews or zero-click surfaces What We Don’t Want Traditional SEOs focused only on meta tags, titles, or bulk execution People who hesitate to drive conversations or challenge flawed client goals Execution-focused roles without a strategy-first mindset What We Offer Remote work flexibility with a client-impact-first culture Global exposure across verticals Opportunity to innovate in LLM + SEO convergence A strong leadership pipeline to grow into SEO practice head roles Apply If You Are An outcome-obsessed strategist who loves solving complex SEO puzzles, speaks confidently in business language, and embraces AI’s evolving impact on search behavior. 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!

Experience : 6.00 + years Salary : INR 1200000-1800000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: Strategic SEO Roadmap, Planning, consultative, Content clustering, Topical authority, AI SEO / AIO / Prompt Engineering, OpenAI, Surfer, LLM Uplers is Looking for: About the Role: We are hiring a Senior SEO Strategist who thrives at the intersection of consultation, business problem solving, AI-SEO, and strategic outcomes. This is not a traditional SEO execution role. You will own client discovery, define the right organic growth strategy, and lead SEO roadmap creation aligned with KPIs, business goals, and modern search behavior (LLMs, AI Overviews, zero-click SERPs). You must be fluent in Topical Authority, LLM-based search shifts, AIO frameworks, and know how to convince clients to invest in future-ready SEO. Shift Time: Work Schedule: 4:00 PM to 1:00 AM IST (Aligned with US Time Zones) Employment Type: Full-Time, on the payroll of Mavlers Important Note: This is an in-house role at Mavlers. The selected candidate will be part of the Mavlers core team, not directly employed by or placed with any external client. Key Responsibilities: Client Discovery & Consultation: Conduct onboarding sessions to extract goals, gaps, constraints & define a clear SEO problem statement. Strategic Roadmapping: Build and present full-funnel organic strategies aligned to TOFU–MOFU–BOFU, AI-friendly content formats, and LLM summarization logic. SEO Proposal Engineering: Translate client requirements into detailed, result-oriented SEO quote decks and proposals. Back every step with data + forecast logic. AIO & LLM Strategy Development: Build AIO-first SEO workflows: prompt engineering for content briefs, schema-first content plans, SGE visibility optimization, FAQ schema targeting, and SGE-ready hub pages. Performance Deep-Dives: Conduct insight-driven audits using GSC, GA4, Semrush, Looker Studio. Go beyond traffic: segment by funnel stage, entity coverage, topical gaps. Quarterly Strategy Reviews: Lead client meetings with actionable next-steps: what changed, what worked, what’s next. Back every recommendation with metrics and business reasoning. Cross-Country + Multi-Vertical Experience: Guide SEO strategy across eCommerce, SaaS, B2B, marketplace, or local with full adaptability. You’re a Fit If You… Think like a consultant, not a coordinator Can turn unclear goals into structured, achievable roadmaps Lead with logic, clarity, and conviction in front of stakeholders Translate SEO into business outcomes, not just rankings or traffic Are deeply familiar with AIO workflows, LLM prompt design, topical clustering, EEAT, and zero-click strategy What You’ll Use GA4, GSC, Semrush, Ahrefs, Screaming Frog AI tools like ChatGPT, Jasper, SurferSEO, NeuronWriter Looker Studio / Data Studio for funnel and KPI dashboards Prompt templates, content calculators, and AI-integrated briefs Success Looks Like Clear, strategic SEO direction defined for every client Measurable organic KPIs aligned to client goals Strong client retention due to insight-driven delivery AIO and LLM-led workflows generating measurable visibility in AI overviews or zero-click surfaces What We Don’t Want Traditional SEOs focused only on meta tags, titles, or bulk execution People who hesitate to drive conversations or challenge flawed client goals Execution-focused roles without a strategy-first mindset What We Offer Remote work flexibility with a client-impact-first culture Global exposure across verticals Opportunity to innovate in LLM + SEO convergence A strong leadership pipeline to grow into SEO practice head roles Apply If You Are An outcome-obsessed strategist who loves solving complex SEO puzzles, speaks confidently in business language, and embraces AI’s evolving impact on search behavior. 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!

Experience : 6.00 + years Salary : INR 1200000-1800000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: Strategic SEO Roadmap, Planning, consultative, Content clustering, Topical authority, AI SEO / AIO / Prompt Engineering, OpenAI, Surfer, LLM Uplers is Looking for: About the Role: We are hiring a Senior SEO Strategist who thrives at the intersection of consultation, business problem solving, AI-SEO, and strategic outcomes. This is not a traditional SEO execution role. You will own client discovery, define the right organic growth strategy, and lead SEO roadmap creation aligned with KPIs, business goals, and modern search behavior (LLMs, AI Overviews, zero-click SERPs). You must be fluent in Topical Authority, LLM-based search shifts, AIO frameworks, and know how to convince clients to invest in future-ready SEO. Shift Time: Work Schedule: 4:00 PM to 1:00 AM IST (Aligned with US Time Zones) Employment Type: Full-Time, on the payroll of Mavlers Important Note: This is an in-house role at Mavlers. The selected candidate will be part of the Mavlers core team, not directly employed by or placed with any external client. Key Responsibilities: Client Discovery & Consultation: Conduct onboarding sessions to extract goals, gaps, constraints & define a clear SEO problem statement. Strategic Roadmapping: Build and present full-funnel organic strategies aligned to TOFU–MOFU–BOFU, AI-friendly content formats, and LLM summarization logic. SEO Proposal Engineering: Translate client requirements into detailed, result-oriented SEO quote decks and proposals. Back every step with data + forecast logic. AIO & LLM Strategy Development: Build AIO-first SEO workflows: prompt engineering for content briefs, schema-first content plans, SGE visibility optimization, FAQ schema targeting, and SGE-ready hub pages. Performance Deep-Dives: Conduct insight-driven audits using GSC, GA4, Semrush, Looker Studio. Go beyond traffic: segment by funnel stage, entity coverage, topical gaps. Quarterly Strategy Reviews: Lead client meetings with actionable next-steps: what changed, what worked, what’s next. Back every recommendation with metrics and business reasoning. Cross-Country + Multi-Vertical Experience: Guide SEO strategy across eCommerce, SaaS, B2B, marketplace, or local with full adaptability. You’re a Fit If You… Think like a consultant, not a coordinator Can turn unclear goals into structured, achievable roadmaps Lead with logic, clarity, and conviction in front of stakeholders Translate SEO into business outcomes, not just rankings or traffic Are deeply familiar with AIO workflows, LLM prompt design, topical clustering, EEAT, and zero-click strategy What You’ll Use GA4, GSC, Semrush, Ahrefs, Screaming Frog AI tools like ChatGPT, Jasper, SurferSEO, NeuronWriter Looker Studio / Data Studio for funnel and KPI dashboards Prompt templates, content calculators, and AI-integrated briefs Success Looks Like Clear, strategic SEO direction defined for every client Measurable organic KPIs aligned to client goals Strong client retention due to insight-driven delivery AIO and LLM-led workflows generating measurable visibility in AI overviews or zero-click surfaces What We Don’t Want Traditional SEOs focused only on meta tags, titles, or bulk execution People who hesitate to drive conversations or challenge flawed client goals Execution-focused roles without a strategy-first mindset What We Offer Remote work flexibility with a client-impact-first culture Global exposure across verticals Opportunity to innovate in LLM + SEO convergence A strong leadership pipeline to grow into SEO practice head roles Apply If You Are An outcome-obsessed strategist who loves solving complex SEO puzzles, speaks confidently in business language, and embraces AI’s evolving impact on search behavior. 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!