Showing 6 positions
Lead AI Engineer
Job Title: Lead AI Engineer Experience: 7–9 Years (Minimum 3+ years in AI/ML and Generative AI, with 2+ years in Technical Leadership) About Kalpita Technologies Kalpita Technologies is a rapidly growing AI-first digital engineering company delivering innovative solutions across InsurTech, FinTech, Healthcare, Manufacturing, and Enterprise Technology. We specialize in AI Engineering, Cloud, Data, Application Development, DevOps, QA Automation, and Managed Services. As we expand our AI practice, we are looking for passionate technology leaders to architect and build next-generation AI-powered enterprise solutions. Role Overview We are seeking a highly experienced Lead AI Engineer / AI Solutions Architect to lead the design, development, and deployment of enterprise-grade Artificial Intelligence (AI), Generative AI (GenAI), Agentic AI, and intelligent enterprise application solutions. This role combines deep technical expertise in AI engineering, cloud architecture, full-stack application development, and enterprise solution design. The ideal candidate will architect scalable AI platforms, integrate AI capabilities with modern application ecosystems, lead engineering teams, establish best practices, and collaborate closely with customers and business stakeholders to deliver high-impact AI solutions. Key Responsibilities AI Solution Architecture Design and architect scalable AI, Generative AI, Agentic AI, and enterprise application solutions for customers. Develop AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Multi-Agent systems. Architect cloud-native, secure, highly scalable AI platforms, APIs, and enterprise applications. Design integration strategies between AI solutions, backend services, frontend applications, and enterprise systems. Define technical architecture, application frameworks, and technology roadmaps. Technical Leadership Lead technical design discussions, architecture reviews, and solution planning. Mentor and guide AI engineers, data scientists, full-stack developers, and engineering teams. Establish engineering standards, coding best practices, AI governance frameworks, and development guidelines. Drive architecture decisions and technology roadmaps for AI and digital transformation initiatives. Provide technical leadership across AI, cloud, backend, and frontend development teams. AI Development & Enterprise Application Development Develop intelligent applications using: Large Language Models (OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral) Prompt Engineering Retrieval-Augmented Generation (RAG) AI Agents & Multi-Agent Frameworks Knowledge Graphs Semantic Search Vector Databases Model Fine-Tuning and Evaluation Function Calling MCP (Model Context Protocol) Build enterprise-grade applications using: .NET Core / ASP.NET Core C# Entity Framework Core Microservices Architecture REST APIs FastAPI Angular TypeScript HTML5 CSS3 Modern enterprise web application frameworks Develop production-ready AI solutions using MLOps and LLMOps best practices. Optimize AI model performance, latency, scalability, reliability, and operational cost. Collaboration & Delivery Work closely with product owners, business analysts, customers, and delivery teams to translate business challenges into AI-driven solutions. Lead proof-of-concepts (PoCs), customer workshops, architecture discussions, and AI solution demonstrations. Collaborate with application development teams to integrate AI capabilities into enterprise platforms. Ensure successful deployment, monitoring, and continuous improvement of AI systems and applications. AI Governance & Security Establish AI governance, responsible AI practices, model monitoring, and compliance standards. Ensure data privacy, security, explainability, and ethical AI implementation. Implement AI observability, evaluation frameworks, and continuous model optimization. Define security practices for AI applications, APIs, cloud platforms, and enterprise systems. Required Technical Skills Programming & Frameworks Expert proficiency in Python. Strong experience with: PyTorch TensorFlow Hugging Face Transformers Scikit-learn FastAPI REST APIs .NET Core / ASP.NET Core C# Entity Framework Core Microservices Architecture Angular TypeScript HTML5 CSS3 Enterprise Full-Stack Application Development Experience designing and developing scalable enterprise applications integrating AI/ML capabilities with modern backend and frontend technologies. Generative AI Hands-on experience with: Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Fine-Tuning & Model Evaluation AI Agents & Multi-Agent Systems Function Calling MCP (Model Context Protocol) AI Frameworks Experience with one or more: LangChain LangGraph LlamaIndex CrewAI AutoGen Semantic Kernel Vector Databases Experience with: Pinecone Azure AI Search ChromaDB Weaviate Milvus FAISS Cloud Platforms Hands-on experience with: Microsoft Azure Azure OpenAI Azure AI Foundry Azure Machine Learning AWS Bedrock Amazon SageMaker Google Vertex AI DevOps & AI Operations Experience with: Docker Kubernetes Git CI/CD Pipelines MLflow Azure DevOps GitHub Actions MLOps & LLMOps Preferred Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Azure AI Engineer, Azure AI Foundry, AWS Machine Learning, or Google Cloud AI certifications are highly desirable. Experience in enterprise solution architecture and customer-facing consulting roles. Strong experience designing AI-enabled enterprise applications. Exposure to AI security, governance, Responsible AI, and AI compliance frameworks. Soft Skills Excellent leadership and mentoring abilities. Strong analytical and problem-solving skills. Outstanding communication and stakeholder management. Ability to drive innovation and influence technical strategy. Customer-focused mindset with strong presentation and consulting skills.
Presales Specialist
JD for AV/VC Solution Designer & Presales Specialist Understanding of customer requirements and provide tailored technical solutions as per SOW End to end Coordination with customer internal teams, and OEM to Provide best suite solution Conduct site visits to assess client needs and project feasibility Design Proof of Concepts (POCs), and concept document Build and maintain strong relationships with OEMs, Distribution and support teams for getting lowest best prices Prepare and deliver presentations, demonstrations, and lead presales discussions Prepare Bill of Materials (BOM) and Bill of Quantities (BOQ) Support sales teams in bidding and securing projects Specking for Requests for Proposals (RFPs) ensuring limited competition Hands-on experience with VC & AV devices such as Poly (HP), Cisco Crestron, Kramer, Harman, QSYS, Logitech, Shure, Sennheiser and others Arrange demo units for client evaluation when necessary Collaborate with the CAD team to provide AV drawings as per the design Help project team on design specifications for seamless installation Help Procurement team for material sourcing at best price in defined timeline Stay upgraded with latest technologies in VC AV domain and help Project & Sales team with latest updates and solutions in market Provide training to sales team periodically Obtain critical certifications from EOMs and industry recognized agencies to have upper age on competition and organization reputation Maintain activity Trackers and records
Professional Service Engineer (PSE)
Mandatory Skills: Advanced networking skills (TCP/IP, MPLS, and BGP) Strong network security skills Knowledge of network test equipment and network management tools (SNMP) Strong Linux and/or Solaris Operating System experience Scripting knowledge Hands-on experience in Linux, networking, and network protocols
IT Executive
Job Summary Insight Cosmetics is looking for a proactive and technically skilled IT Executive to manage and support our factory IT infrastructure across our Vasai and Boisar manufacturing units. The ideal candidate should have hands-on experience in hardware, networking, user support, ERP, and IT asset management within a manufacturing environment. Key Responsibilities Provide end-user support for desktops, laptops, printers, and other IT peripherals. Install, configure, and troubleshoot hardware, software, operating systems, and applications. Monitor and maintain LAN/WAN networks, Wi-Fi, internet connectivity, and network devices. Manage user accounts, email configuration, and access permissions. Support ERP/SAP users by coordinating with internal teams and external vendors. Maintain IT assets, software licenses, and inventory records. Ensure timely data backup, antivirus updates, and system security compliance. Coordinate with vendors for AMC, repairs, procurement, and IT infrastructure upgrades. Troubleshoot CCTV, biometric attendance systems, and IP phones. Maintain IT documentation, SOPs, and service logs. Provide on-site IT support for both Vasai and Boisar factory locations whenever required. Requirements Bachelor's degree or Diploma in Computer Science, Information Technology, or a related field. 2–5 years of experience as an IT Executive or IT Support Engineer, preferably in a manufacturing environment. Strong knowledge of Windows OS, networking (TCP/IP, LAN/WAN), printers, and troubleshooting. Experience with ERP/SAP support is preferred. Knowledge of Microsoft 365, Active Directory, and basic server administration is an advantage. Strong problem-solving, communication, and time management skills. Willingness to travel between the Vasai and Boisar plants. Preferred Skills Hardware & Software Troubleshooting Network Administration ERP/SAP Support IT Asset Management Microsoft 365 CCTV & Biometric Systems Vendor Management User Support & Helpdesk
Senior Java Full Stack Developer (AI Expertise)
About the Role We are looking for an experienced Senior Java Full Stack Developer with strong expertise in AI-powered application development. The ideal candidate should have extensive experience building scalable enterprise applications while integrating modern AI technologies such as LLMs, Generative AI, and intelligent automation. Key Responsibilities Design, develop, and maintain enterprise-grade full-stack applications. Build robust backend services using Java, Spring Boot, and Microservices. Develop responsive frontends using React.js or Angular. Integrate AI capabilities using OpenAI, Azure OpenAI, Claude, Gemini, LangChain, or similar frameworks. Develop RESTful APIs and integrate third-party services. Work with cloud platforms such as AWS, Azure, or GCP. Optimize application performance, security, and scalability. Mentor junior developers and participate in architecture discussions. Collaborate with cross-functional teams in an Agile environment. Required Skills 8–10 years of experience in Java Full Stack Development. Strong expertise in Java 11/17+, Spring Boot, Spring MVC, Spring Security, Hibernate/JPA. Experience with React.js, Angular, TypeScript, HTML5, CSS3, JavaScript. Hands-on experience with Microservices architecture. Strong knowledge of REST APIs. Database experience with PostgreSQL, MySQL, MongoDB, or Oracle. Experience with Docker, Kubernetes, Jenkins, Git, CI/CD. Experience in AWS, Azure, or Google Cloud. AI Experience (Preferred) Experience integrating LLMs (OpenAI, Claude, Gemini, Azure OpenAI). Knowledge of RAG (Retrieval-Augmented Generation). Experience with LangChain, LlamaIndex, Vector Databases (Pinecone, Weaviate, ChromaDB). AI chatbot or AI agent development experience. Prompt engineering and AI workflow orchestration. Preferred Qualifications Strong analytical and problem-solving skills. Excellent communication and leadership abilities. Experience in enterprise SaaS or product development is an advantage. Why Join Us? Work on cutting-edge AI and Enterprise Software Products. Flexible work hours. Collaborative and innovation-driven culture. Opportunity to work on global client projects. Career growth and leadership opportunities.
Azure API Developer
Job Summary 4-6 years of experienced Azure API Developer to design, develop, and manage APIs on Microsoft Azure for healthcare applications. The candidate should have experience with healthcare data standards, including HL7, HIPAA regulations and Protected Health Information (PHI) handling. Key Responsibilities • Design, develop, and deploy RESTful APIs using Azure services • Ensure APIs comply with HIPAA security and privacy requirements • Implement authentication and authorization using OAuth 2.0, JWT, and Azure Entra ID • Secure PHI data using encryption at rest and in transit • Manage APIs using Azure API Management (APIM) • Knowledge of Azure Functions – serverless APIs and Azure App Service – host web APIs • Support API versioning, documentation, and lifecycle management Required Skills • Strong experience developing APIs on Microsoft Azure • Proficiency in C# (.NET) • Hands-on experience with HL7 messaging, FHIR APIs, or healthcare integrations • Solid understanding of HIPAA compliance and PHI data protection • Experience implementing secure API architectures • Knowledge of REST, JSON, XML, HTTP/S • Familiarity with CI/CD pipelines (Azure DevOps or GitHub Actions) • Experience with logging, monitoring, and auditing for NIGHT SHIFT