Hiring For AI Enginner - Python Developer :- Job Description:- We are seeking a talented Python Developer with hands-on experience in AI chatbot development and familiarity with Model Context Protocol (MCP) to join our AI team. You will be responsible for developing intelligent, context-aware conversational systems that integrate seamlessly with our internal knowledge base and enterprise services. The ideal candidate is technically proficient ,proactive, and capable of translating complex AI interactions into scalable backend solutions. Key Responsibilities 1. Design and develop robust AI chatbots using Python and integrate them with LLM APIs(e.g., OpenAI, Google AI, etc.). 2. Implement and manage Model Context Protocol (MCP) for optimize context injection, session management, and model-aware interactions. 3.Build and maintain secure pipelines for knowledge base access that allow the chatbot to accurately respond to internal queries. 4.Work with internal teams to define and evolve the contextual metadata strategy (roles, user state, query history, etc.). 5.Contribute to internal tooling and framework development for contextual AI applications. Required Skills & Experience 1. 3+ years of professional Python development experience. 2. Proven track record in AI chatbot development, particularly using LLMs. 3. Understanding of Model Context Protocol (MCP) and its role in enhancing AI interactionfidelity and relevance. 4. Strong experience integrating with AI APIs (e.g., OpenAI, Azure OpenAI). 5. Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector-basedsearch (e.g., Pinecone, Weaviate, FAISS). 6. Experience designing systems that ingest and structure unstructured knowledge (e.g., PDF,Confluence, Google Drive docs). 7. Comfortable working with RESTful APIs, event-driven architectures, and context-awareservices.8.Good understanding of data handling, privacy, and security standards related to enterpriseAI use. Job Location: Indore Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 WhatsApp : 8224006397 Job Type: Full-time Schedule: Day shift Application Question(s): Immediate Joiner Have you completed your Bachelor's\Master's Degree? Experience: Python: 3 years (Required) Model Context Protocol (MCP): 3 years (Required) LLM APIs: 3 years (Required) Artificial Intelligence: 2 years (Required) Location: Indore, Madhya Pradesh (Required) Work Location: In person

Job Summary: We are seeking a highly skilled and experienced Data Scientist with a deep understanding of data analytics powered by artificial intelligence (AI) tools. The ideal candidate will be passionate about turning data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods. Key Responsibilities: Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization. Leverage AI tools to automate data cleansing, feature engineering, model building, and visualization. Design and conduct advanced statistical analyses and machine learning models (supervised, unsupervised, NLP, etc.). Collaborate cross-functionally with engineering and business teams to drive data-first decision-making. Must-Have Skills & Qualifications: Minimum 4 years of professional experience in data science, analytics, or a related field. Proficiency in Python and/or R with strong hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation & Automation: Alteryx, Trifacta, KNIME AI/ML Platforms: DataRobot, H2O.ai, Amazon SageMaker, Azure ML Studio, Google Vertex AI Visualization & BI: Tableau, Power BI, Looker (with AI/ML integrations) AutoML & Predictive Modeling: Google AutoML, IBM Watson Studio, BigML NLP & Text Analytics: OpenAI (ChatGPT, Codex APIs), Hugging Face Transformers, MonkeyLearn Workflow Orchestration: Apache Airflow, Prefect Preferred Qualifications: Degree in Computer Science, Data Science, Statistics, or related field. Experience in cloud-based environments (AWS, GCP, Azure) for ML workloads. To apply, please send your resume to sooraj@superpe.in or shreya@superpe.in SuperPe is an equal opportunity employer and welcomes candidates of all backgrounds to apply. We look forward to hearing from you! Show more Show less

About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job – We are looking for a highly experienced Senior Developer with a strong background in Python, AI/ML, Generative AI, and experience with Azure OpenAI, Large Language Models (LLMs), cloud platforms like Azure and AWS, and various databases to join our dynamic team. The ideal candidate will have a proven track record of developing and deploying advanced AI solutions, with a focus on leveraging Generative AI techniques to drive innovation and efficiency. Job Title - Technical Specialist Location: Pune Educational Background: Bachelor's degree in Computer Science, Information Technology, or related field. Key Responsibilities - AI/ML Development: Design, develop, and implement advanced AI/ML models and algorithms to solve complex problems and enhance business processes. Generative AI Solutions: Utilize Generative AI techniques (e.g., GANs, VAEs) to create innovative applications and improve existing systems. Python Programming: Write clean, efficient, and scalable code in Python, using libraries such as TensorFlow, PyTorch, scikit-learn, and others. Data Analysis and Modeling: Analyze large datasets to extract insights, build predictive models, and support data-driven decision-making. Azure OpenAI and LLMs: Develop and deploy AI solutions using Azure OpenAI services and Large Language Models (LLMs) to enhance capabilities and performance. Cloud Platforms: Utilize cloud platforms like Azure and AWS for deploying and managing AI/ML solutions. Database Management: Work with various databases, including SQL, MongoDB, NoSQL, and vector databases, to store, manage, and retrieve data efficiently. Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to understand requirements and deliver high-quality AI solutions. Mentorship: Provide technical guidance and mentorship to junior developers and team members. Continuous Improvement: Stay updated with the latest advancements in AI/ML, Generative AI, Azure OpenAI, LLMs, cloud technologies, and database management, and apply them to enhance existing solutions and develop new ones. Documentation: Document AI models, algorithms, and processes, and provide regular reports on project progress and outcomes. Required Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum of 5-6 years of experience in AI/ML development, with a focus on Python, Generative AI, and Azure OpenAI. Technical Skills: Proficiency in Python and relevant libraries (TensorFlow, PyTorch, scikit-learn, etc.). Extensive experience with Generative AI techniques (GANs, VAEs, etc.). Strong understanding of machine learning algorithms, data analysis, and model deployment. Experience with Azure OpenAI services and Large Language Models (LLMs). Proficiency in cloud platforms like Azure and AWS. Experience with databases such as SQL, MongoDB, NoSQL, and vector databases. Familiarity with containerization (Docker, Kubernetes). Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to lead and mentor a team. Proactive and self-motivated with a passion for innovation. Show more Show less

Overview The Software Engineering Manager will play a pivotal role in software development activities and long-term initiative planning and collaboration across the Strategy & Transformation (S&T) organization. Software Engineering is the corner stone of scalable digital transformation across PepsiCo’s value chain. This leader will deliver the end-to-end software development experience, deliver high quality software as part of the DevOps process, and have accountability for our business operations. The leader in this role will be highly experienced Software Engineering Manager and hands-on with Java/Python/Azure technologies to lead the design, development and support of our Integration platform. This role is critical in shaping our integration landscape, establishing development best practices, and mentoring a world-class engineering team. This role will play a key leadership role in a product-focused, high-growth startup/enterprise environment, owning end to end integration services. Responsibilities Support and guide a team of engineers in developing and maintaining Digital Products and Applications (DPA). Oversee the comprehensive development of integration services for the Integration platform utilizing Java and Python on Azure. Design scalable, performant, and secure systems ensuring maintainability and quality. Establish code standards and best practices; conduct code reviews and technical audits. Advise on the selection of tools, libraries, and frameworks. Research emerging technologies and provide recommendations for their adoption. Uphold high standards of Integration services and performance across platforms. Foster partnerships with User Experience, Product Management, IT, Data & Analytics, Emerging Tech, Innovation, and Process Engineering teams to deliver the Digital Products portfolio. Create a roadmap and schedule for implementation based on business requirements and strategy. Demonstrate familiarity with AI tools and platforms such as OpenAI (GPT-3/4, Assistants API), Anthropic, or similar LLM providers. Integrate AI capabilities into applications, including AI copilots and AI agents, smart chatbots, automated data processors, and content generators. Understand prompt engineering, context handling, and AI output refinement. Lead multi-disciplinary, high-performance work teams distributed across remote locations effectively. Build, manage, develop, and mentor a team of engineers. Engage with executives throughout the company to advocate the narrative surrounding software engineering. Expand DPA capabilities through a customer-focused, services-driven digital solutions platform leveraging data and AI to deliver automated and personalized experiences. Manage and appropriately escalate delivery impediments, risks, issues, and changes associated with engineering initiatives to stakeholders. Collaborate with key business partners to recommend solutions that best meet the strategic needs of the business. Qualifications Bachelor's or master's in computer science, engineering, or related field 10-12 years of software design and development (Java, Spring Boot, Python) 8-10 years of Java/Python development, enterprise-grade applications expertise 3-5 years of microservices development and RESTful API design 3-5 years with cloud-native solutions (Azure preferred, AWS, Google Cloud) Strong understanding of web protocols, REST APIs, SOA 3-5 years as lead developer, mentoring teams, driving technical direction Proficient with relational databases (Oracle, MSSQL, MySQL) and NoSQL databases (Couchbase, MongoDB) Exposure to ADF or ADB Experience with Azure Kubernetes Service or equivalent Knowledge of event-driven architecture and message brokers (Kafka, ActiveMQ) Data integration experience across cloud and on-prem systems Deep understanding of CI/CD pipelines, DevOps automation Ability to write high-quality, secure, scalable code Experience delivering mission-critical, high-throughput systems Strong problem-solving, communication, stakeholder collaboration skills Experience in Scaled Agile (SAFe) as technical lead Knowledge of Salesforce ecosystem (Sales Cloud/CRM) is a plus Show more Show less

Job Title: GenAI Engineer Category: Software Development Required Experience: 3-4 years Location: Pune Job Description: As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen. Responsibilities: Team Leadership: ● Lead, mentor, and inspire a team of junior data scientists, fostering a collaborative and innovative work environment. ● Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals. ● Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning: ● Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals. ● Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies. ● Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics: ● Design, develop, and implement advanced machine learning models and algorithms to extract insights and solve complex business problems. ● Drive the exploration and application of new data sources, tools, and techniques to enhance analytical capabilities. ● Collaborate with data engineers to ensure the scalability and efficiency of deployed models. Cross-functional Collaboration: ● Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes. ● Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality: ● Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis. ● Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management: ● Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met. ● Provide regular project updates to stakeholders and manage expectations effectively. Technical Expertise: ● Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage Transformers for complex natural language processing-based tasks. ● Hands-on experience in RAG (Retrieval-Augmented Generation) pipelines using Pinecone or similar vector databases to enhance LLM performance. ● Experience building RESTful APIs and ML endpoints using FastAPI , integrating seamlessly with production systems. ● Apply LangChain and agentic frameworks to integrate LLMs with tools, memory, and reasoning chains. ● Proficiency in designing LLM-driven workflows , including prompt engineering , chain-of-thought reasoning, and OpenAI API call optimization to reduce latency and cost. ● Develop scalable event-driven architectures using AWS EventBridge , RDS , and other AWS services (e.g., S3, Glue, SageMaker). ● Develop and optimize embedding generation , storage, and retrieval processes using tools like OpenAI Embeddings, LangChain , and Pinecone. ● Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc. ● Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection; ● Provide oversight for core deep learning algorithms like Neural Architecture Search for optimization and Graph Neural Networks for molecular structures. Qualifications: ● Minimum 1+ years of experience leading a team of junior data scientists, with a proven track record of successful project implementations. ● Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.) ● Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. ● Experience in MLOps, Scientific Machine Learning, Statistical Modeling, and Data Visualization. ● Proficiency in cloud platforms , particularly AWS (SageMaker, S3, RDS, EventBridge, Glue, Redshift). ● Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above. ● Bonus: Prior experience in LLM observability, latency tuning, token usage monitoring, and fine-grained control of OpenAI or similar API integrations. ● Must have hands-on experience with Deep Learning technologies for computer vision and image processing as well as core neural network applications like optimization. ● Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. ● Experience in the development and implementation of scalable and efficient data pipelines using AWS services such as SageMaker, S3, Glue, and/or Redshift. ● Excellent leadership, communication, and interpersonal skills. ● Experience with big data technologies and cloud platforms is a plus. 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Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking an exceptional Solution Architect/BDM specializing in Hyperscalers. This role requires deep expertise in cloud-based AI services and Large Language Models (LLMs) offered by major cloud providers. As our Cloud AI SME, you will assess client needs, recommend appropriate cloud AI technologies, size opportunities and cloud infrastructure requirements, and collaborate with delivery teams to create end-to-end solutions with accurate costing. This pivotal role demands a strategic thinker with strong technical knowledge and business acumen who can drive innovation and deliver exceptional value to our clients through cloud-based AI solutions. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in cloud-based AI services and LLMs such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models Assess client business requirements and translate them into detailed technical specifications leveraging hyperscaler AI capabilities Recommend appropriate cloud AI solutions based on specific business outcomes and use cases Size cloud infrastructure requirements and optimize cost models for AI workloads Design scalable and secure Private AI architectures Create technical POCs and prototypes on hyperscaler platforms to demonstrate solution capabilities Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the Cloud AI space Develop compelling proposals and solution presentations for cloud-based AI implementations Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation on cloud AI solutions Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Architect multi-agent systems that leverage cloud platform capabilities Develop frameworks for agent orchestration, evaluation, and governance on cloud platforms Design cloud-native agent solutions that integrate with existing enterprise systems Implement agent-based solutions using Cloud tools and services Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with AWS or Azure or GCP AI/ML services Strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Cloud certifications such as: AWS: AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty Azure: Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate GCP: Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer Experience with autonomous agent development using cloud-based AI services Experience with deploying and fine-tuning LLMs on cloud platforms Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA Seeking a talented Solution Architect/BDM for On-Prem/Private AI. Requires deep open source LLM expertise to translate client needs into technical solutions. Responsibilities include assessing needs, recommending LLM tech, sizing opportunities and infrastructure, and collaborating on end-to-end solutions with costing. Needs strategic thinking, strong technical and business skills to drive innovation and client value. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in LLMs such as Phi-4, Mistral, Gemma, Llama and other foundation models Assess client business requirements and translate them into detailed technical specifications Recommend appropriate LLM solutions based on specific business outcomes and use cases Experience in sizing and architecting infrastructure for AI/ML workloads, particularly GPU-based systems. Design scalable and secure On-Prem/Private AI architectures Create technical POCs and prototypes to demonstrate solution capabilities Hands-on experience with vector databases (open-source or proprietary), such as Weaviate, Milvus, or Vald etc. Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the On-Prem/Private AI space Develop compelling proposals and solution presentations for clients Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Design, develop, and deploy AI-powered applications leveraging agentic AI frameworks such as LangChain, AutoGen, and CrewAI. Utilize the modular components of these frameworks (LLMs, Prompt Templates, Agents, Memory, Retrieval, Tools) to build sophisticated language model systems and multi-agent workflows. Implement Retrieval Augmented Generation (RAG) pipelines and other advanced techniques using these frameworks to enhance LLM responses with external data. Contribute to the development of reusable components and best practices for agentic AI implementations. Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with models such as Phi-4, Mistral, Gemma, and other foundation models Strong understanding of GPU infrastructure sizing and optimization for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with Private AI deployment and fine-tuning LLMs for specific use cases Knowledge of RAG (Retrieval Augmented Generation) and enterprise knowledge systems Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Experience with major AI providers: OpenAI/Azure OpenAI, AWS, Google, Anthropic, etc. Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Teaching Assistant – Data Science & Data Analyst Program Full Time (Offline) We’re looking for passionate Teaching Assistants to support our offline Data Science and Data Analyst programs. You’ll help learners master concepts across Python, SQL, Excel, Statistics, Power BI/Tableau, Machine Learning, Deep Learning, NLP, and Generative AI. Key Responsibilities: Conduct doubt-clearing sessions and hands-on activities. Guide learners through projects in EDA, dashboards, ML, NLP, and generative models. Track learner progress and provide personalized support. Assist in batch coordination, project reviews, and curriculum improvement. Requirements: Strong in Python, SQL, Statistics, Excel, ML/DL (TensorFlow, PyTorch), NLP (spaCy, Hugging Face), and Gen AI tools (OpenAI, LangChain). Clear communication and mentoring skills. Experience with ML projects, dashboards, and NLP/generative AI tools. Bonus: Experience in mentoring, AI projects on Kaggle, Hugging Face, or GitHub. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA Seeking a talented Solution Architect/BDM for On-Prem/Private AI. Requires deep open source LLM expertise to translate client needs into technical solutions. Responsibilities include assessing needs, recommending LLM tech, sizing opportunities and infrastructure, and collaborating on end-to-end solutions with costing. Needs strategic thinking, strong technical and business skills to drive innovation and client value. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in LLMs such as Phi-4, Mistral, Gemma, Llama and other foundation models Assess client business requirements and translate them into detailed technical specifications Recommend appropriate LLM solutions based on specific business outcomes and use cases Experience in sizing and architecting infrastructure for AI/ML workloads, particularly GPU-based systems. Design scalable and secure On-Prem/Private AI architectures Create technical POCs and prototypes to demonstrate solution capabilities Hands-on experience with vector databases (open-source or proprietary), such as Weaviate, Milvus, or Vald etc. Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the On-Prem/Private AI space Develop compelling proposals and solution presentations for clients Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Design, develop, and deploy AI-powered applications leveraging agentic AI frameworks such as LangChain, AutoGen, and CrewAI. Utilize the modular components of these frameworks (LLMs, Prompt Templates, Agents, Memory, Retrieval, Tools) to build sophisticated language model systems and multi-agent workflows. Implement Retrieval Augmented Generation (RAG) pipelines and other advanced techniques using these frameworks to enhance LLM responses with external data. Contribute to the development of reusable components and best practices for agentic AI implementations. Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with models such as Phi-4, Mistral, Gemma, and other foundation models Strong understanding of GPU infrastructure sizing and optimization for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with Private AI deployment and fine-tuning LLMs for specific use cases Knowledge of RAG (Retrieval Augmented Generation) and enterprise knowledge systems Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Experience with major AI providers: OpenAI/Azure OpenAI, AWS, Google, Anthropic, etc. Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking an exceptional Solution Architect/BDM specializing in Hyperscalers. This role requires deep expertise in cloud-based AI services and Large Language Models (LLMs) offered by major cloud providers. As our Cloud AI SME, you will assess client needs, recommend appropriate cloud AI technologies, size opportunities and cloud infrastructure requirements, and collaborate with delivery teams to create end-to-end solutions with accurate costing. This pivotal role demands a strategic thinker with strong technical knowledge and business acumen who can drive innovation and deliver exceptional value to our clients through cloud-based AI solutions. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in cloud-based AI services and LLMs such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models Assess client business requirements and translate them into detailed technical specifications leveraging hyperscaler AI capabilities Recommend appropriate cloud AI solutions based on specific business outcomes and use cases Size cloud infrastructure requirements and optimize cost models for AI workloads Design scalable and secure Private AI architectures Create technical POCs and prototypes on hyperscaler platforms to demonstrate solution capabilities Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the Cloud AI space Develop compelling proposals and solution presentations for cloud-based AI implementations Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation on cloud AI solutions Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Architect multi-agent systems that leverage cloud platform capabilities Develop frameworks for agent orchestration, evaluation, and governance on cloud platforms Design cloud-native agent solutions that integrate with existing enterprise systems Implement agent-based solutions using Cloud tools and services Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with AWS or Azure or GCP AI/ML services Strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Cloud certifications such as: AWS: AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty Azure: Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate GCP: Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer Experience with autonomous agent development using cloud-based AI services Experience with deploying and fine-tuning LLMs on cloud platforms Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

We are seeking a dynamic and experienced Technical Trainer to join our engineering department. The ideal candidate will be responsible for designing and delivering technical training sessions to B.Tech students across various domains, ensuring they are industry-ready and equipped with practical, job-oriented skills. Role & Responsibility To train the students in new age technology (computer Science Engineering) to bridge the industry & academia gap leading to increase in the employability of the students. Knowledge Proven experience in devising technical training programs to UG/PG Engineering students in Higher Education Institutions To be abreast in latest software as per Industry standard & having knowledge of modern training techniques and tools to deliver the technical subjects To prepare training material (presentations, worksheets etc.) To execute training sessions, webinars, workshops for students To determine overall effectiveness of programs and make improvements Technical Skills (Subject Areas of delivering Training with Practical Approach) 1. Core Programming Skills Languages: C, Python, Java, C++, JavaScript 2. Web Development Frontend: HTML, CSS, JavaScript, React.js/Next.js Backend: Node.js, Express, Django, or Spring Boot Full-Stack: MERN stack (MongoDB, Express, React, Node.js) 3. Data Science & Machine Learning Languages: Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch) Tools: Jupyter Notebook, Google Colab, MLFlow 4. AI & Generative AI LLMs (Large Language Models): Understand how GPT, BERT, Llama models work Prompt Engineering Fine-tuning & RAG (Retrieval-Augmented Generation) Hugging Face Transformers, LangChain, OpenAI APIs 5. Cloud Computing & DevOps Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP) DevOps Tools: Docker, Kubernetes, GitHub Actions, Jenkins, Terraform CI/CD Pipelines: Automated testing and deployment 6. Cybersecurity Basics: OWASP Top 10, Network Security, Encryption, Firewalls Tools: Wireshark, Metasploit, Burp Suite 7. Mobile App Development Native: Kotlin (Android), Swift (iOS) Cross-platform: Flutter, React Native 8. Blockchain & Web3 Technologies: Ethereum, Solidity, Smart Contracts Frameworks: Hardhat, Truffle 9. Database & Big Data Databases: SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Redis) Big Data Tools: Apache Hadoop, Spark, Kafka Qualification & Years of Experience as per norms: B.Tech./MCA/M.Tech (IT/CSE) from Top tier Institutes & reputed universities Industry Experience is desirable. Candidate must have minimum 2 years of training experience in the same domain. Show more Show less

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are looking for a dynamic and experienced Technical Manager to lead a team focused on delivering innovative AI-driven solutions using Prompt Engineering , Model Evolution , and AWS Knowledge Hub Service . This role requires a strong technical foundation in AI/ML systems, a deep understanding of large language models (LLMs), and experience with cloud-native architectures on AWS. You will play a pivotal role in shaping our next-generation AI products and optimizing customer experiences through scalable and intelligent systems. How will you make an impact? Lead and manage a cross-functional team of AI/ML engineers and backend developers working on LLM-based features and knowledge management solutions. Design and implement prompt engineering strategies to optimize model outputs and ensure contextual relevance across multiple AI use cases. Drive the evolution and fine-tuning of language models, leveraging user feedback, model analytics, and performance data. Architect and deploy solutions using AWS Knowledge Hub Service, enabling secure, scalable storage and retrieval of customer knowledge assets. Collaborate closely with Product Managers, Architects, and Data Scientists to define and deliver product roadmaps aligned with business goals. Set up and manage best practices for model evaluation, versioning, deployment, and monitoring in production environments. Ensure high system reliability, performance, and security in all delivered solutions. Foster a culture of innovation, continuous learning, and technical excellence within the team. Contribute to technical architecture reviews, code quality, and team mentoring. Stay updated with the latest in generative AI, AWS services, and industry trends to inform strategic decisions. Have you got what it takes? Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 10+ years of software development experience, with at least 3 years in a technical leadership or managerial role. Strong hands-on experience with LLMs, prompt engineering, and model lifecycle management. Solid understanding of AI/ML concepts, including supervised/unsupervised learning, transformers, embeddings, etc. Deep experience in AWS services, especially AWS Knowledge Hub, Lambda, S3, API Gateway, CloudWatch, and IAM. Strong knowledge of API-first development, microservices, and cloud-native architectures. Proven experience in delivering enterprise-grade solutions with high scalability, performance, and security. Excellent communication, leadership, and stakeholder management skills. Preferred Skills: Familiarity with tools like Lang Chain, Pinecone, Bedrock, or similar platforms. Experience with model training and fine-tuning using Hugging Face, OpenAI, or similar frameworks. Understanding of DevOps practices and MLOps pipelines. Exposure to knowledge management systems or enterprise search solutions. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Reporting into: Director, Engineering, CX Role Type: Manager About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less

About OLX India At OLX India, we are building the future of smart, trusted, and frictionless commerce. With millions of users, listings, and interactions daily, we are redefining how India buys and sells pre-owned goods. As we evolve, AI is at the heart of transforming our experiences—and we’re now looking for a Product Manager to lead our GenAI efforts. Role Overview We are looking for an Associate Product Manager – AI who will drive the vision, strategy, and execution of GenAI-powered features and platforms at OLX India. You will work at the intersection of AI innovation and user experience, shaping the future of product discovery, trust, content generation, and seller enablement using state-of-the-art generative technologies. What You’ll be doing Lead GenAI Product Strategy: Define and own the roadmap for GenAI-based capabilities (e.g., AI-driven ad creation, chat summarization, image enhancements, trust/scam detection, etc.). Cross-functional Leadership: Collaborate with data scientists, engineers, designers, and business teams to translate complex GenAI capabilities into intuitive user experiences. Experimentation & Validation: Run experiments (A/B tests, prototypes, user interviews) to validate product-market fit and deliver measurable impact. Platform Thinking: Help build reusable GenAI platforms and tools that can scale across multiple OLX verticals. User-Centric Mindset: Stay obsessed with the user. Leverage user research, feedback loops, and data to continuously improve GenAI products. Stay Ahead of the Curve: Track trends in the GenAI ecosystem (OpenAI, open-source models, fine-tuning techniques, safety, etc.) and bring innovative thinking into OLX’s roadmap. Who we are looking for : 1.5 to 3 years of product management experience, with at least 1 year in AI/ML or GenAI-based products . Strong understanding of LLMs, diffusion models, prompt engineering, and model evaluation metrics (not expected to code, but to be deeply conversant). Experience launching AI-powered features with measurable business/user outcomes. Analytical mindset – skilled at using data (quantitative and qualitative) to inform decisions. Proven track record in working with cross-functional teams in a fast-paced environment. Excellent communication and stakeholder management skills. Why Join Us? Work at scale: Impact millions of users in one of India’s most recognized digital platforms. AI-first culture: Be a core part of OLX’s AI transformation journey. Diverse team: Collaborate with global talent across data, tech, and design. Purpose-driven: Shape responsible AI solutions that build trust and transparency. At OLX India, we are committed to creating a diverse, inclusive, and authentic workplace. We strongly encourage people of all races, ethnicities, disabilities, ages, gender identities or expressions, sexual orientations, religions, backgrounds, and experiences to apply. We embrace diversity and welcome applicants from all backgrounds. If you are as excited as us about this position and our company, we hope you join us! "Our Success is fueled by diverse perspectives and talents" Show more Show less

We are seeking a highly experienced Senior Backend Developer with a strong foundation in AI technologies to join our team. You will be responsible for designing and building intelligent, scalable backend systems that drive healthcare workflows. The ideal candidate brings over a decade of development experience, deep expertise in a combination of technologies which include Typescript, Python & Rust. With a proven track record in integrating AI/ML services such as OpenAI and Hugging Face. Responsibilities Design and develop AI-driven backend services for healthcare workflows. Develop scalable and maintainable backend systems using TypeScript, Python & Rust. Integrate third-party AI APIs including OpenAI, Anthropic, and Hugging Face for advanced functionalities. Collaborate with DevOps to manage AWS infrastructure using Infrastructure as Code and AWS UI tools. Deploy and monitor machine learning models for analysis, recommendations, and predictive insights. Build and maintain robust RESTful APIs Collaborate within Agile Scrum teams, contributing to sprints and releases, while maintaining high code quality. Conduct code reviews, write automated tests, and ensure best security and scalability practices are followed. Required Skills and Experience 8+ years in backend software development. Strong hands-on experience with Typescript, Rust and Python in production systems Solid understanding of software architecture, design patterns, and system integration Comfortable working independently and delivering in tight timelines Experience with CI/CD pipelines and containerized environments Excellent communication and problem-solving skills Strong understanding in AI/ML including practical experience integrating AI APIs and deploying AI-driven features. Solid understanding of REST API design; familiarity with GraphQL. Hands-on experience with AWS, including AWS Lambda and serverless architectures. Understanding of distributed systems, service-oriented architecture, and backend security best practices. Familiarity with Agile methodologies and experience working in fast-paced, startup-like environments. Ideal Candidate Traits Demonstrates strong AI/ML expertise and a passion for intelligent automation. Has a proactive attitude and keeps pace with the latest tech trends. Experience with AI agent frameworks or orchestration tools like Temporal, N8N, LangChain, AutoGPT, or similar. Knowledge of evaluating AI model outputs, setting up human-in-the-loop pipelines, or building self-improving systems. Familiarity with healthcare data formats (FHIR, HL7), privacy-compliant API design (e.g., for patient records). Show more Show less

Key Requirements 8+ years of core Java development experience (Java 11+) Strong in Spring Boot, Spring Framework, and REST APIs Proficient with JPA, Hibernate, MS-SQL, and PostgreSQL Hands-on with microservices, event-driven architecture, and distributed systems CI/CD experience with tools like Jenkins, GitLab CI, GitHub Actions Cloud exposure (preferably AWS; Azure/GCP also acceptable) Front-end experience with React or Angular, plus HTML, CSS3/Tailwind Familiarity with Kubernetes (EKS, AKS, GKE) Experience in DDD, BFF, and integrating with cloud services Strong problem-solving skills, Git proficiency, and Agile practices AI Integration Responsibilities Use tools like GitHub Copilot, OpenAI Codex, Gemini for code generation, testing, and documentation Evaluate and adopt emerging AI technologies Collaborate with AI to optimize and refactor code Nice To Have Hospitality domain experience Willingness to adopt and learn AI-assisted coding tools Understanding of integrating AI tools in the SDLC Skills: ai integration,aws,ms-sql,css3,cloud,gcp,rest apis,api,react,bff,spring boot,java 11+,postgresql,agile practices,core java,jpa,gitlab ci,event-driven architecture,aks,jenkins,ddd,hibernate,ci/cd,github actions,eks,html,kubernetes,gke,azure,springboot,java,microservices,spring framework,distributed systems,angular,git proficiency,tailwind Show more Show less

Introduction: EkVayu Tech is a fast growing, research focused, technology company specializing in developing IT and AI applications. Our projects span modern front-end development, robust backend systems, cloud-native and on-prem infrastructure, AI/ML enablement, and automated testing pipelines. We are looking for a visionary technical leader to guide our engineering team and architecture strategy as we scale. We are having products in the area of Cybersecurity/ AI/ML/DL, Signal Processing, System Engineering and Health-Tech. Job Title: Tech Architect / VP of Engineering / Tech Lead, Experience Level: Senior / Leadership Location: Noida Sector 62, UP, India Role Overview As a Tech Architect / Engineering VP / Tech Lead, you will be responsible for driving the overall engineering strategy, leading architecture and design decisions, managing development teams, and ensuring scalable, high-performance delivery of products. You’ll work closely with founders, product teams, and clients to define and deliver cutting-edge solutions that leverage AI and full-stack technologies. Key Responsibilities  Architectural Leadership: o Design and evolve scalable, secure, and performant architecture across front-end, backend, and AI services. o Guide tech stack choices, frameworks, and tools aligned with business goals. o Lead cloud/on-prem infrastructure decisions, including CI/CD, containerization, and DevOps automation.  Engineering Management: o Build and mentor a high-performing engineering team. o Define engineering best practices, coding standards, and technical workflows. o Own technical delivery timelines and code quality benchmarks.  Hands-on Development & Technical Oversight: o Contribute to critical system components and set examples in code quality and documentation. o Oversee implementation of RESTful APIs, microservices, AI modules, and integration plugins. o Champion test-driven development and automated QA processes.  AI Enablement: o Guide development of AI-enabled features, data pipelines, and model integration (working with MLOps/data teams). o Drive adoption of tools that enhance AI-assisted development and intelligent systems.  Infrastructure & Deployment: o Architect hybrid environments across cloud and on-prem setups. o Optimize deployment pipelines using tools like Docker, Kubernetes, GitHub Actions, or similar. o Implement observability solutions for performance monitoring and issue resolution. Required Skills & Experience  8+ years of experience in software engineering, with 3+ years in a leadership/architect role.  Strong proficiency in: o Frontend: React.js, Next.js o Backend: Python, Django, FastAPI o AI/ML Integration: Working knowledge of ML model serving, APIs, or pipelines  Experience building and scaling systems in hybrid (cloud/on-prem) environments.  Hands-on with CI/CD, testing automation, and modern DevOps workflows.  Experience with plugin-based architectures and extensible systems.  Deep understanding of security, scalability, and performance optimization.  Ability to translate business needs into tech solutions and communicate across stakeholders. Preferred (Nice to Have)  Experience with OpenAI API, LangChain, or custom AI tooling environments.  Familiarity with infrastructure-as-code (Terraform, Ansible).  Background in SaaS product development or AI-enabled platforms.  Knowledge of container orchestration (Kubernetes) and microservice deployments. What We Offer  Competitive compensation  Opportunity to shape core technology in a fast-growing company  Exposure to cutting-edge AI applications and infrastructure challenges  Collaborative and open-minded team culture How to Apply Send your resume, portfolio (if applicable), and a brief note on why you’re excited to join us to HR@EkVayu.com Show more Show less

Company Description Nodeprix Technologies LLP is a leading web, custom software, and mobile application development company with over a decade of experience. Our proficient technical team specializes in a diverse range of technologies, including React.js, Node.js, OpenAI, Python, PHP, Laravel, Java, Ruby, Flutter, Wordpress and React Native, enabling us to deliver tailored solutions to meet unique business requirements. With a robust presence across North America, the Gulf, Europe, Australia, and India, we are trusted by clients worldwide for our innovative and effective technology solutions. Role Description This is a full-time, on-site role for a Business Development Executive Intern, based in Ahmedabad. The Business Development Executive will be responsible for identifying potential opportunities, generating leads, developing new business, managing accounts, and fostering strong communication with clients. Day-to-day tasks will include researching market trends, building and maintaining relationships with clients, negotiating contracts, and ensuring client satisfaction to drive business growth. Qualifications New Business Development and Lead Generation skills Experience in Business and Account Management Strong Communication skills Excellent negotiation and interpersonal skills Ability to work independently and as part of a team Proven track record in meeting sales targets Bachelor's degree in Business Administration, Marketing, or a related field Show more Show less

We are looking for a PHP Laravel Developer with TALL Stack experience to join our dynamic and rapidly growing young team. The developer will play with +1 million records and complex job queues with the TALL Stack (Tailwind CSS, Alpine.js, Laravel, Livewire). Strong SQL experience required. 👉 𝘖𝘯𝘭𝘺 𝘢𝘱𝘱𝘭𝘺 𝘪𝘧 𝘺𝘰𝘶 𝘮𝘢𝘵𝘤𝘩 𝘸𝘪𝘵𝘩 𝘳𝘦𝘲𝘶𝘪𝘳𝘦𝘮𝘦𝘯𝘵𝘴 𝘢𝘯𝘥 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘪𝘣𝘪𝘭𝘪𝘵𝘪𝘦𝘴 . ✅ What You'll Do Build and maintain scalable Laravel applications and RESTful APIs. Write clean, testable code following SOLID principles and modern PHP standards. Design and optimize large MySQL databases and ensure system performance. Create reactive front-end experiences using Tailwind CSS, Alpine.js, and Livewire. Collaborate with UI/UX designers, other engineers, and product owners (clients). Implement security best practices and data protection measures. Work on complex background jobs, queues, and caching strategies. Write and maintain unit and feature tests using Pest or PHPUnit. 🧠 What Makes You a Great Fit? 3+ years of hands-on experience with PHP Laravel. (3+ to 8 years experience) Must have work experience with TALL stack (Tailwind CSS, Alpine.js, Laravel, and Livewire). Solid understanding of APIs, Microservices, and Domain-Driven Design and exp with Test Driven Development (TDD). Strong SQL and query optimization skills. Familiarity with AI-powered IDEs like Cursor, VS Code, GitHub Copilot. Excellent problem-solving skills and understanding of clean architecture. Good communication skills in English – both written and spoken. Strong understanding of security best practices related to APIs and data privacy. Must have strong work ethics. 🌟 Nice to Have Experience with AWS, Laravel Vapor, or CI/CD pipelines. Familiarity with OpenAI APIs, Redis, and scalable queue management. Contribution to open-source projects or active Laravel community involvement. 💎 𝐍𝐨𝐭𝐞𝐬: It's an on-site position. No remote. Ahmedabad, Gujarat. 𝐀𝐩𝐩𝐥𝐲: Email: hr@infynno.com Mobile No. - 8488838308 Show more Show less

Software Engineering Internship (Agentic AI) Location: Gandhinagar (On-site) Type: Full-time Internship Duration: 3 to 6 months Stipend: Competitive, with potential for full-time offer About BigCircle At BigCircle, we're not just building software—we're shaping India's role in the future of intelligent systems. From crafting elegant SaaS products to creating infrastructure for Agentic AI (think AI agents that reason, act, and collaborate like real teammates), our goal is to put Indian innovation on the global map. We believe interns should do real work—not just shadow senior engineers or write test cases. You'll join a tight-knit team pushing boundaries in AI-powered software, with plenty of space to learn, build, and make your mark. What You'll Work On As an intern, you’ll work closely with our core team on next-gen AI products built using LLMs (Large Language Models), intelligent agent frameworks, and full-stack tech. You’ll: Build features and systems that power Agentic AI workflows Work across the backend (Node.js or Python) and frontend (React, Angular, or similar) Experiment with LLM APIs and agent orchestration Learn how to ship clean, maintainable code in a fast-moving startup environment Get mentorship, participate in design discussions, and even influence product direction What We’re Looking For A solid foundation in Computer Science fundamentals Experience with backend development using Node.js or Python Comfortable with frontend frameworks like React, Angular, or Vue Some understanding of Object-Oriented Programming (OOP) Bonus: Any exposure to LLMs, LangChain, OpenAI APIs, or similar Curious mindset, willingness to learn fast, and a hacker attitude Final-year students or recent graduates in CS or related fields 💡 Why Join Us? Work on real AI products, not dummy projects Learn by doing, mentored by experienced engineers and AI enthusiasts Flexible learning, fast iterations, and lots of room to grow You'll leave this internship with experience that’s 2 years ahead of your peers If you shine, we’ll be the first to hand you a full-time offer Ready to join the AI-native wave? Show more Show less

Job Title: VP-Digital Expert Support Lead Experience : 15 + Years Location : Pune Position Overview The Digital Expert Support Lead is a senior-level leadership role responsible for ensuring the resilience, scalability, and enterprise-grade supportability of AI-powered expert systems deployed across key domains like Wholesale Banking, Customer Onboarding, Payments, and Cash Management . This role requires technical depth, process rigor, stakeholder fluency , and the ability to lead cross-functional squads that ensure seamless operational performance of GenAI and digital expert agents in production environments. The candidate will work closely with Engineering, Product, AI/ML, SRE, DevOps, and Compliance teams to drive operational excellence and shape the next generation of support standards for AI-driven enterprise systems. Role-Level Expectations Functionally accountable for all post-deployment support and performance assurance of digital expert systems. Operates at L3+ support level , enabling L1/L2 teams through proactive observability, automation, and runbook design. Leads stability engineering squads , AI support specialists, and DevOps collaborators across multiple business units. Acts as the bridge between operations and engineering , ensuring technical fixes feed into product backlog effectively. Supports continuous improvement through incident intelligence, root cause reporting, and architecture hardening . Sets the support governance framework (SLAs/OLAs, monitoring KPIs, downtime classification, recovery playbooks). Position Responsibilities Operational Leadership & Stability Engineering Own the production health and lifecycle support of all digital expert systems across onboarding, payments, and cash management. Build and govern the AI Support Control Center to track usage patterns, failure alerts, and escalation workflows. Define and enforce SLAs/OLAs for LLMs, GenAI endpoints, NLP components, and associated microservices. Establish and maintain observability stacks (Grafana, ELK, Prometheus, Datadog) integrated with model behavior. Lead major incident response and drive cross-functional war rooms for critical recovery. Ensure AI pipeline resilience through fallback logic, circuit breakers, and context caching. Review and fine-tune inference flows, timeout parameters, latency thresholds, and token usage limits. Engineering Collaboration & Enhancements Drive code-level hotfixes or patches in coordination with Dev, QA, and Cloud Ops. Implement automation scripts for diagnosis, log capture, reprocessing, and health validation. Maintain well-structured GitOps pipelines for support-related patches, rollback plans, and enhancement sprints. Coordinate enhancement requests based on operational analytics and feedback loops. Champion enterprise integration and alignment with Core Banking, ERP, H2H, and transaction processing systems. Governance, Planning & People Leadership Build and mentor a high-caliber AI Support Squad – support engineers, SREs, and automation leads. Define and publish support KPIs , operational dashboards, and quarterly stability scorecards. Present production health reports to business, engineering, and executive leadership. Define runbooks, response playbooks, knowledge base entries, and onboarding plans for newer AI support use cases. Manage relationships with AI platform vendors, cloud ops partners, and application owners. Must-Have Skills & Experience 15+ years of software engineering, platform reliability, or AI systems management experience. Proven track record of leading support and platform operations for AI/ML/GenAI-powered systems . Strong experience with cloud-native platforms (Azure/AWS), Kubernetes , and containerized observability . Deep expertise in Python and/or Java for production debugging and script/tooling development. Proficient in monitoring, logging, tracing, and alerts using enterprise tools (Grafana, ELK, Datadog). Familiarity with token economics , prompt tuning, inference throttling, and GenAI usage policies. Experience working with distributed systems, banking APIs, and integration with Core/ERP systems . Strong understanding of incident management frameworks (ITIL) and ability to drive postmortem discipline . Excellent stakeholder management, cross-functional coordination, and communication skills. Demonstrated ability to mentor senior ICs and influence product and platform priorities. Nice-to-Haves Exposure to enterprise AI platforms like OpenAI, Azure OpenAI, Anthropic, or Cohere. Experience supporting multi-tenant AI applications with business-driven SLAs. Hands-on experience integrating with compliance and risk monitoring platforms. Familiarity with automated root cause inference or anomaly detection tooling. Past participation in enterprise architecture councils or platform reliability forums Show more Show less

Data Processing & Embeddings: Work with text, image, audio, and video data to create embeddings and preprocess inputs for AI models. Prompt Engineering & Optimization: Experiment with prompt engineering techniques to improve AI responses and outputs. API Integration: Utilize OpenAI, Azure OpenAI, Hugging Face, and other APIs to integrate AI models into applications. Model Development & Fine-Tuning: Assist in training, fine-tuning, and deploying Generative AI models (GPT, Llama, Stable Diffusion, Claude etc.). AI Workflows & Pipelines: Contribute to building and optimizing AI workflows using Python, TensorFlow, PyTorch, Langchain or other frameworks. Cloud & Deployment: Deploy AI solutions on cloud platforms like Azure, AWS, or Google Cloud, leveraging serverless architectures and containerization (Docker, Kubernetes). AI Application Development: Collaborate with developers to build AI-powered applications using frameworks like Streamlit, Flask, or FastAPI. Experimentation & Research: Stay updated on the latest advancements in Generative AI and explore new use cases. Show more Show less

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. The Impact of a Principal Software Engineer to Coupa: As a member of the development group, you will become part of a team that develops and maintains one of Coupa’s software products, developed using Ruby and React, built as a multi-tenant SaaS solution on all Cloud Platforms like AWS, Windows Azure & GCP. We expect that you are a strong leader with extensive technical experience. You have a well-founded analytical approach to finding good solutions, a strong sense of responsibility, and excellent skills in communication and planning. You are proactive in your approach and a strong team player. What You’ll Do: Provide technical leadership to multiple software development teams, architecting solutions at scale to empower them Build solid expertise in the entire Coupa application suite and leverage this knowledge to better design application and data frameworks Adhere to Coupa's iterative development processes to deliver concrete value each release while driving longer-term technical vision Drive architecture standards and patterns, with a demonstrated passion for advocating their correct usage and excellent communication skills (written and verbal) Document the solutions leveraging existing standards and create new templates where required; present them to project-specific governing bodies for review and approval. Consulting skills are imperative to gain consensus on the solutions proposed Work alongside Engineering and Product leadership teams to co-create the feature designs for the major releases and participate in defect analysis for maintenance releases to ensure robust functional resolution to the customer-facing issues Provide technical guidance and mentorship to engineers, designers, and developers Engage cross-organisational teams such as Product Management, Integrations, Services, Support, and Operations, to ensure the success of overall software development, implementation, and deployment What you will bring to Coupa: Bachelor’s degree in computer science, information systems, computer engineering, systems analysis, or a related discipline, or equivalent work experience 15+ years of experience building enterprise, SaaS web applications using one or more of the following modern frameworks technologies: Ruby on Rails, ReactJS, SQL, and TypeScript Full stack web development expertise with hands-on experience building responsive UI, Single Page Applications, reusable components, with a keen eye for UI design and usability Experience with LLMs (like OpenAI, Anthropic, or open-source models) and experience building generative AI agents or workflows is highly desirable Understanding of microservices and event-driven architecture Strong knowledge of APIs and integration with the backend Experience with relational SQL and NoSQL databases such as SQL Server, PostgreSQL, MongoDB, Cassandra, etc Proven expertise in Performance Optimization and Monitoring Tools Strong knowledge of Cloud Platforms (e.g., AWS, Azure, or GCP) Experience with CI/CD Tooling and software delivery and bundling mechanisms Experience with web-accessibility/WCAG standards, i18n best practices, cross-browser compatibility, and performance Passion for keeping up with the latest trends in the developer community and eagerness to bring in the outside-in thinking in the products we build Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. Please be advised that inquiries or resumes from recruiters will not be accepted. By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy. Show more Show less

Position Type: PartTime / Contract / Remote Location: Open Experience Required: 2-3 years (or equivalent project experience) Key Responsibilities: Work with Large Language Models (LLMs) , both open-source (like LLaMA, Mistral, GPT-NeoX) and API-based (like OpenAI, Anthropic) Develop and manage multi-agent system architectures for AI-driven applications Conduct comparative evaluation of LLMs based on quality, speed, cost, and reliability Design, test, and optimize prompts , context management strategies, and resolve common issues like hallucinations and irrelevant outputs Understand the basics of model fine-tuning and customizing pre-trained models for domain-specific use-cases Build and integrate backend systems using Node.js , RESTful/GraphQL APIs, and database management (SQL / NoSQL) Deploy applications on cloud platforms like Firebase, AWS, or Azure , and manage resources effectively Implement and manage agentic AI systems , A2A workflows (agent-to-agent) , and RAG (Retrieval-Augmented Generation) pipelines Handle hosting, scaling, and deployment of websites/web apps and maintain performance during high traffic loads Optimize infrastructure for cost-effectiveness and high availability Work with frameworks like LangChain , AutoGen , or equivalent LLM orchestration tools Lead or collaborate on AI-powered product development from concept to deployment Balance between rapid prototyping and building production-grade, reliable AI applications Preferred Skills: Strong understanding of LLM evaluation frameworks and metrics Familiarity with LangChain, AutoGen, Haystack , or similar AI agent management libraries Working knowledge of AI deployment best practices Basic knowledge of Docker, Kubernetes , and scalable hosting setups Experience in managing cross-functional teams or AI development interns is a plus Bonus Advantage: Prior experience working on AI-powered SaaS platforms Contribution to open-source AI projects or AI hackathons Familiarity with data privacy, security compliance, and cost management in AI applications Show more Show less

We are looking to Hire a Princ software QA engineer/developer to join our cutting-edge development team as it grows. The ideal candidate is a divergent thinker who understands industry best practices and has experience with the required Programming language. They are a team player possessing strong analytical as well as technical skills and are able to communicate the logic behind technical decisions to non-tech stakeholders. They must be comfortable working in an agile environment and have the ability to “take the wheel” when necessary . Responsibilities The candidate should be a hands-on experienced QA Engineer who can work independently with minimum supervision to accomplish assigned tasks on schedule. Successful candidates will have a strong testing background in both web based application and server side testing. Must participate in all technical discussions and provide inputs for test-plan creation Create test automation scripts and find out innovative ways of achieving test efficiency Perform non-functional testing and API-testing as applicable Able to build and maintain Web based Automation frameworks Able to work on testing the services in the Cloud using the Serverless Architecture Contribute towards defect fixing on the development side. Fast learner who can contribute from day one. Adamant about writing quality, reusable, and performant code Performing Peer Code Reviews expecting the same level of quality and reusability Ability to work in a fast-paced environment and adhere to deadlines. Can rapidly deploy, learn and iterate on new features. Eager to continuously improve skill set. Push the limits to make great things happen. Compulsive need to excel in what you do. QA Strategy and liaison Define and champion the QA strategy, aligning with product roadmap and technical vision. Mentor and guide junior QA engineers, fostering a culture of quality. Communicate QA findings, risks, and recommendations to stakeholders. AI/ML Skills – Good To Have Experience with AI-assisted test automation tools (e.g., Testim, Virtuoso etc.,) Familiarity with LLMs or generative AI frameworks (e.g., OpenAI) for intelligent test generation or defect analysis Understanding of NLP techniques to parse and test natural language inputs Experience integrating AI into CI/CD pipelines to optimize test selection or prioritize regression suites. Prompt engineering or scripting with generative AI tools (e.g., copilot, chatGPT) for test case generation. Qualifications B.E / B.Tech / MCA in computer science/ Engineering or a related discipline. 6+ years of relevant experience. Well versed in required Technical Skills. Ability to devise test strategies, document test plans and test cases based on analysis of business requirements, functional requirements, and design documents. Hands on experience in White box testing and API testing Strong problem-solving skills and ability to troubleshoot application and environment issues. Ability to identify, debug and clearly articulate software defects. Exposure to static and dynamic code. Hands on programming on Python/Perl and data structures Good on Automation – framework creation Experience in Python. Experience in JavaScript for testing web applications. Experience working on Serverless Architecture. Experience working on Browser Extensions is a plus. Solid understanding of Object-Oriented design and concepts. Good understanding of basic Design Patterns. Experience with unit testing framework such as Jasmine/Jest. Outstanding interpersonal and communication skills. Experience in Automation. Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency. To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. Show more Show less

Experience: 7+ years Key Responsibilities • Lead the architecture, design, and development of enterprise-scale web applications with integrated Generative AI capabilities. • Define technical standards, architectural patterns, and best practices for scalable and secure software systems. • Collaborate with product, AI/ML, DevOps, and security teams to ensure alignment between business goals and technical execution. • Oversee full-stack development lifecycle, ensuring robust design, performance tuning, and security compliance. • Evaluate and integrate AI components such as LLMs, embedding services, and vector databases into product architecture. Mandatory Technical Skills 1. Cloud-Native Architecture & Microservices Proven experience designing scalable, cloud-native applications using microservices and event-driven patterns on Azure Ecosystem. 2. Performance Optimization Implementing caching strategies (Redis, CDN), asynchronous job processing (RabbitMQ, Kafka), and load-balanced architectures using Kubernetes or serverless platforms. 3. GenAI Integration & LLM Orchestration Hands-on with Generative AI technologies—Azure OpenAI, prompt engineering, RAG pipelines, embeddings, and vector search (e.g., Azure AI search, Azure PostgreSQL etc..). 4. Backend Engineering (APIs, Data, Security) Strong expertise in REST APIs with versioning, throttling, and gateway integrations., PostgreSQL/MongoDB, OAuth2/SSO, and secure coding aligned with GDPR/SOC2 standards. 5. Frontend Development (React/Next.js) Deep experience building enterprise-grade UIs using React.JS, component libraries, and modern design systems. 6. DevOps & Infrastructure as Code Proficiency in Azure CI/CD pipelines , Docker, and Kubernetes for automated, scalable deployments. 7. Real-Time & Scalable UI Patterns Experience with WebSockets/SSE, UI performance optimization, and handling large-scale dynamic frontends. 8. Testing, Observability & Quality Engineering Competence in automated unit/E2E testing , frontend performance profiling, and monitoring of Deployed solutions. Show more Show less