Job Summary: We are seeking a highly skilled Python Developer with a minimum of 5 years of development experience and hands-on experience building AI-based applications . The ideal candidate should have strong expertise in AI application development , Retrieval-Augmented Generation (RAG) workflows , and embedding models . Prior experience working with Large Language Models (LLMs) such as Llama or Granite is essential, along with proficiency in pre- and post-processing of RAG workflows . This is a 100% onsite opportunity as the developer will be required to collaborate closely with key application developers and architects , ensuring seamless integration and deployment of AI-powered applications within enterprise environments. Key Responsibilities: Develop AI-powered applications leveraging LlamaIndex or LangChain . Implement RAG (Retrieval-Augmented Generation) workflows , including pre- and post-processing techniques . Work with embedding models to optimize document retrieval and ranking. Build and optimize APIs using FAST API . Develop prompt engineering techniques for both text and images to optimize LLM outputs. Deploy and manage containerized applications using Docker, OpenShift, or Kubernetes . Work with vector databases on Azure for AI-driven search and retrieval. Integrate and manage OIDC-based authentication for secure application access. Optimize application performance, scalability, and security in cloud environments. Understand Kafka and event-driven programming for real-time data processing. Collaborate with key application developers and architects to align AI development with enterprise system requirements. Requirements: 3-5 years of development experience in Python and software engineering. Hands-on experience building AI-based applications using modern frameworks. Prior experience working with LLMs such as Llama or Granite . Hands-on experience with LlamaIndex or LangChain for AI-driven workflows. Deep understanding of RAG (Retrieval-Augmented Generation) workflows , including pre- and post-processing techniques . Proficiency in embedding models for search and ranking. Strong prompt engineering experience for text and images . Experience in FAST API for building high-performance APIs. Good understanding of Docker, OpenShift, or Kubernetes for container orchestration. Familiarity with vector databases on Azure (e.g., Azure Cosmos DB, FAISS, Chroma ). Experience with OIDC authentication frameworks and security best practices. Understanding of Kafka and event-driven programming . Working knowledge of NoSQL databases and MS SQL . Basic understanding of Kotlin and React to collaborate effectively with frontend and mobile teams. Strong problem-solving skills and ability to work in a collaborative, onsite environment . Nice to Have (Red Hat-Based Products & AI Model Serving): Experience with Red Hat OpenShift Service Mesh . Knowledge of Red Hat Quay for container registry management. Experience with model serving using OpenShift AI and vLLM . Knowledge of pipeline automation using KubeFlow Pipelines and Elyra . Role & responsibilities This opening is at our client's office in Delhi/NCR region Interested candidates can also send CV on careers@futopstech.com or Whatsapp on 8956427737
Job Summary: We are looking for a passionate and skilled Java Developer with 2+ years of hands-on experience in developing enterprise-level applications using Java, Spring Framework, Apache Kafka, and Apache Camel. The ideal candidate will have a strong understanding of microservices architecture, message-driven systems, and enterprise integration patterns. Key Responsibilities: Develop, maintain, and enhance Java-based applications using Spring Boot and related technologies. Integrate and manage message-based communication using Apache Kafka . Design and implement enterprise integration solutions using Apache Camel . Participate in the full software development lifecycle — requirements gathering, design, development, testing, deployment, and support. Write clean, scalable, and reusable code following best practices and coding standards. Collaborate with cross-functional teams including QA, DevOps, and Product Management. Troubleshoot and debug applications to optimize performance. Create and maintain technical documentation. Required Skills and Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field. 2+ years of professional experience in Java development. Strong hands-on experience with Spring Boot , Spring MVC , Spring Data/JPA . Proficient in building and consuming RESTful APIs . Experience working with Apache Kafka for stream processing and messaging. Knowledge of Apache Camel for enterprise integration and routing. Familiarity with design patterns, microservices architecture, and distributed systems. Experience with relational databases like MySQL , PostgreSQL , or Oracle . Familiar with CI/CD tools and version control systems (e.g., Git, Jenkins). Nice to Have: Exposure to Docker/Kubernetes. Familiarity with cloud platforms (AWS, Azure, GCP). Understanding of Agile/Scrum methodologies. Soft Skills: Strong analytical and problem-solving skills. Good communication and interpersonal abilities. Ability to work independently and as part of a team.
Seeking a highly skilled and experienced Senior .NET Developer to work closely with customer teams. This role is pivotal in designing, developing, and, crucially, mentoring others in the adoption of modern Cloud Native Development practices. If you're passionate about pairing, fostering technical growth, and building robust microservices-based solutions with .NET and Podman, we want to hear from you. Job Nature - Contractual for 2 months Job Location - Delhi/NCR Job Mode - WFO (Mon to Fri) Key Responsibilities Lead the design, development, and implementation of high-quality, scalable, and secure microservices using C# and the .NET (Core) ecosystem. Drive the adoption and implementation of Continuous Delivery (CD) pipelines, ensuring efficient and reliable software releases for microservices. Highly skilled in Test-Driven Development (TDD) practices, writing comprehensive unit, integration, and end-to-end tests to ensure code quality and maintainability within a microservices architecture. Design, develop, and deploy .NET microservices within containers, leveraging inner loop practices Utilize Podman/Docker Compose (or similar multi-container tooling compatible with Podman) for local development environments and multi-service microservices application setups. Implement robust API Testing strategies, including automated tests for RESTful APIs across microservices. Integrate and utilize Observability tools and practices (e.g., logging, metrics, tracing) to monitor application health, performance, and troubleshoot issues effectively in a containerized microservices environment. Collaborate closely with product owners, architects, and other developers to translate business requirements into technical solutions, specifically focusing on microservices design. Play a key mentoring role, actively participating in pairing sessions, providing technical guidance, and fostering the development of junior and mid-level engineers in microservices development. Contribute to code reviews with an eye for quality, maintainability, and knowledge transfer within a microservices context. Actively participate in architectural discussions and contribute to technical decision-making, particularly concerning microservices design patterns, containerization strategies with Podman, and overall system architecture. Stay up-to-date with emerging technologies and industry best practices in .NET, microservices, and containerization, advocating for their adoption where appropriate. Troubleshoot and debug complex issues across various environments, including Podman containers and distributed microservices. Required Skills and Experience 7+ years of professional experience in software development with a strong focus on the Microsoft .NET (Core) ecosystem (ideally .NET 6+ or .NET 8+). Expertise in C# and building modern applications with .NET Core. Demonstrable experience designing, developing, and deploying Microservices Architecture. Demonstrable experience with Continuous Delivery (CD) principles and tools (e.g., Azure DevOps, GitLab CI/CD, Jenkins). Proven track record of applying Test-Driven Development (TDD) methodologies. Strong practical experience with Podman, including building and running .NET applications in Podman containers, and an understanding of its daemonless/rootless architecture benefits. Proficiency in using Podman Compose (or similar approaches) for managing multi-container .NET applications locally. Extensive experience with API Testing frameworks and strategies (e.g., Postman, Newman, SpecFlow, Playwright, XUnit/NUnit for integration tests). Deep understanding and practical experience with Observability principles and tools (e.g., Application Insights, Prometheus, Grafana, OpenTelemetry, ELK Stack, Splunk). Solid understanding of RESTful API design and development. Experience with relational databases (e.g., SQL Server, PostgreSQL) and ORMs (e.g., Entity Framework Core). Excellent mentorship and communication skills, with a passion for knowledge sharing and team development. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team.
Job Title: Data Scientist Experience: 2 to 4 Years Location: Delhi/NCR Industry: Information Technology & Services Employment Type: Full-time About the Role: We are looking for a passionate and results-driven Data Scientist to join our growing analytics and AI/ML team. The ideal candidate will bring hands-on experience in data exploration, model building, and deployment. You will work closely with cross-functional teams to deliver actionable insights and machine learning solutions that drive business value. Key Responsibilities: Collect, clean, and preprocess large datasets from various sources. Perform exploratory data analysis and visualize patterns and trends. Build and validate machine learning and statistical models. Translate business problems into data science problems and solutions. Communicate findings through reports, dashboards, and visualizations. Collaborate with engineering and product teams to deploy data-driven solutions. Stay updated with the latest tools, technologies, and industry trends. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field. 2 to 4 years of industry experience in data science, machine learning, or applied statistics. Proficient in Python (NumPy, pandas, scikit-learn, matplotlib, etc.). Solid understanding of supervised and unsupervised ML algorithms. Experience with SQL and data querying from relational databases. Familiarity with tools like Jupyter, Git, and cloud platforms (AWS/Azure/GCP) is a plus. Exposure to model deployment and MLOps practices is desirable. Strong analytical thinking and problem-solving skills. Good communication and team collaboration abilities. Nice to Have: Experience with NLP, computer vision, or time-series analysis. Knowledge of Big Data tools (Spark, Hadoop). Experience with data visualization libraries (Seaborn, Plotly, Power BI, Tableau).
Job Title: Agent AI Specialist / Senior AI Engineer Location: Delhi NCR Experience: 1–2 years Department: AI/ML Research & Development Job Type: Full-time Job Summary: We are seeking a highly skilled and motivated AI Specialist with hands-on experience in Agent AI frameworks and multi-agent communication protocols. The ideal candidate will be passionate about pushing the boundaries of AI with deep learning, autonomous agents, and cutting-edge tools like LangChain, LangGraph, and llama-index. If you have a strong foundation in image processing, and experience with cloud AI platforms like Azure ML Foundry or Google Vertex AI, we’d love to hear from you. Key Responsibilities: Design, build, and deploy AI agents using frameworks like Autogen , LangChain , LangGraph , and llama-index Develop and implement Agent-to-Agent (A2A) communication protocols for autonomous coordination Integrate multi-agent cognitive protocols (MCP) for enhanced agent collaboration Apply advanced deep learning techniques to real-world AI and computer vision problems Work on image processing tasks using AI/ML models for detection, enhancement, and transformation Collaborate with cross-functional teams to deliver scalable AI solutions on cloud platforms such as Azure Foundry or Google Vertex AI Conduct POCs and build demos showcasing agent-based AI applications Stay current with research trends and innovations in the field of generative AI, agent systems, and multimodal learning Key Requirements: Proven experience with Agent AI frameworks like Autogen or similar Strong understanding of MCP / A2A protocols and agent coordination techniques Proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow) Experience in image processing using AI (OpenCV, Pillow, deep learning models, etc.) Hands-on experience with LangChain , LangGraph , llama-index , or equivalent modular AI frameworks Familiarity with cloud-based ML tools – especially Azure Foundry , Google Vertex AI , or AWS SageMaker Strong analytical and problem-solving skills Good communication and documentation abilities. Qualifications: BE/B.Tech/MCA/MSc
Job Title: QA Automation Engineer – Fresher (Virtual Drive) Location: Kharadi, Pune Experience: Fresher / 0–1 Years Employment Type: Full-Time (Internship-to-Hire) Internship Duration: 3- 6 Months (Stipend - 10k) CTC Post Confirmation : 3-4 LPA Note : The shortlisted candidate will receive an invitation mail for the virtual drive About the Role: We are looking for a proactive and detail-oriented QA Automation Engineer (Fresher) to join our Quality Assurance team. You will work closely with developers, product managers, and senior QA engineers to identify bugs, write test scenarios, and automate test cases. This role is ideal for someone passionate about software quality and looking to grow in Python-based automation frameworks. Key Responsibilities: Understand user requirements and identify key use cases. Write and execute manual test scenarios and test cases. Design and implement automated test scripts using Python . Increase test coverage using automation tools (e.g., Selenium , PyTest). Perform defect logging, tracking, and debugging. Conduct log analysis and review test results for reliability. Document test steps, expected results, and create Requirement Traceability Matrix (RTM). Contribute to quality status reports and defect prevention strategies. Ensure test coverage, traceability, and effective quality reporting. Must-Have Skills: Good understanding of Python 3 and scripting. Experience or training in test automation frameworks such as Selenium , PyTest , or unittest . Familiarity with the full software testing life cycle . Knowledge of test coverage metrics, RTM, and quality reporting. Ability to log and track defects using tools like Jira or Bugzilla. Basic command-line operations on Linux (tools like vim, crond, systemd, rsyslog, awk, sed, grep). Understanding of containers and Docker operations. Knowledge of Git version control system. Good-to-Have Skills: Exposure to Computer Vision software , GStreamer , or OpenCV . Familiarity with PyTorch and its integration in automation. Knowledge of AWS or other cloud services . Awareness of DevOps concepts and Docker Swarm . Educational Qualification: B.Tech / BE / MCA / M.Sc in Computer Science, IT, or related field. Minimum 60% marks or 7+ CGPA . Why Join Us: Hands-on exposure to real-world QA automation projects . Work with cutting-edge tools and technologies including Python and Docker. Mentorship from experienced QA and development professionals. Fast-paced, learning-oriented work environment. Opportunity for full-time conversion after successful internship.
Job Title: Python Backend Developer – Fresher (Virtual Drive) Location: Khardi, Pune Experience: 0–1 Years Employment Type: Full-Time Internship Duration: 3–6 Months CTC: Stipend – ₹10,000 (During Internship) Post-Confirmation CTC: ₹3–4 LPA Note : The shortlisted candidate will receive an invitation mail for the virtual drive About the Role: We are looking for a highly motivated and detail-oriented Python Backend Developer (Fresher) to join our development team. As an entry-level developer, you will assist in building and maintaining server-side logic, ensuring high performance, containerized deployments, and responsiveness to front-end requests. Key Responsibilities: Write clean, efficient, and scalable backend code using Python . Assist in developing RESTful APIs and web services. Integrate front-end elements with server-side logic. Work with databases ( SQL/NoSQL ) for data storage and retrieval. Build and manage Linux-based environments and support deployments using Docker containers . Collaborate with front-end developers, testers, and product teams. Participate in code reviews, debugging, and testing. Maintain clear documentation for systems and processes. Required Skills: Good understanding of Python and object-oriented programming. Familiarity with frameworks such as Flask or Django . Basic knowledge of relational databases ( MySQL, PostgreSQL ) or NoSQL databases ( MongoDB ). Understanding of REST APIs and web development fundamentals. Experience working in Linux environments . Basic understanding of Docker and containerization. Familiarity with Git and version control practices. Strong problem-solving and analytical skills. Good to Have: Personal or academic projects demonstrating backend development. Exposure to cloud services (AWS, GCP, Azure). Knowledge of CI/CD pipelines and container orchestration tools like Docker Compose or Kubernetes . Understanding of security and data protection best practices. Educational Qualification: Bachelor’s or Master’s degree (BE/Btech/MCA/MSC) in Computer Science, IT, or a related field. Why Join Us: Opportunity to work on real-world applications and scalable systems. Hands-on experience with containerized deployments and Linux-based backends. Mentorship and training by experienced developers. Fast-paced and collaborative work environment.
Job description Job Title: Red Hat OpenShift (OCP) Day 2 Administrator Location: Delhi/NCR Experience: 4-6 years Employment Type: Full-time / Contract Start Date: Immediate Job Summary: We are seeking an experienced Red Hat OpenShift (OCP) Day 2 Administrator with deep expertise in managing container platforms and strong proficiency in Red Hat Enterprise Linux (RHEL) . This role is critical for managing and supporting Red Hat-based production environments, ensuring high availability, performance, and security post-deployment. Key Responsibilities: Perform Day 2 operations and administration of Red Hat OpenShift clusters (on-prem or cloud). Monitor cluster health, performance, and utilization using Prometheus/Grafana and other OpenShift tools. Implement patching, upgrades, and security hardening of OCP clusters and RHEL hosts. Troubleshoot container, pod, and node-level issues in OpenShift. Automate administrative tasks using Ansible, shell scripts , or other automation tools. Work with CI/CD pipelines integrated with OpenShift. Collaborate with DevOps and platform engineering teams for environment stability and continuous improvement. Manage user access, role-based access control (RBAC), and cluster configurations. Ensure compliance, logging, and auditing with Red Hat and enterprise security standards. Required Skills: Strong hands-on experience with Red Hat OpenShift (v4.x preferred) Proficiency in Red Hat Enterprise Linux (RHEL 7/8/9) Experience in Kubernetes administration and containerization concepts Familiarity with OpenShift CLI (oc), Helm, Operators, and CRDs Understanding of networking (SDN/CNI), persistent storage, and Ingress controllers Experience with logging (EFK stack), monitoring, and alerting tools Automation experience using Ansible, Bash/Shell scripting Strong troubleshooting and problem-solving skills Preferred Qualifications: Red Hat Certified Specialist in OpenShift Administration (EX280) Red Hat Certified Engineer (RHCE) Experience with AWS, Azure, or GCP-based OCP deployments Knowledge of DevSecOps practices and integrating security tools
As a Python Backend Developer Fresher at our organization, you will play a crucial role in assisting our development team in building and maintaining server-side logic. Your responsibilities will include writing clean and scalable backend code using Python, developing RESTful APIs and web services, integrating front-end elements, working with databases for data storage, and managing Linux-based environments using Docker containers. You will collaborate closely with front-end developers, testers, and product teams to ensure seamless integration of server-side logic with front-end requirements. Participation in code reviews, debugging, and testing will be key aspects of your role, along with maintaining clear documentation for systems and processes. To excel in this role, you should have a strong understanding of Python and object-oriented programming, familiarity with frameworks like Flask or Django, and basic knowledge of databases such as MySQL, PostgreSQL, or MongoDB. Experience working in Linux environments, understanding of Docker and containerization, and proficiency in Git and version control practices are also required. Additionally, exposure to cloud services, CI/CD pipelines, Kubernetes, security best practices, and academic or personal projects demonstrating backend development would be advantageous. A degree in Computer Science, IT, or a related field is essential for this position. By joining our team, you will have the opportunity to work on real-world applications, gain hands-on experience with containerized deployments and Linux-based backends, receive mentorship and training from experienced developers, and thrive in a fast-paced and collaborative work environment.,
As a QA Automation Engineer Fresher, you will be an integral part of the Quality Assurance team, collaborating with developers, product managers, and senior QA engineers to ensure software quality. Your primary responsibilities will include understanding user requirements, developing test scenarios, and automating test cases using Python-based frameworks. You will play a crucial role in identifying bugs, executing manual and automated tests, and enhancing test coverage through tools like Selenium and PyTest. Additionally, you will be involved in defect tracking, log analysis, and creating Requirement Traceability Matrix (RTM) to ensure effective quality reporting. To excel in this role, you must possess a strong understanding of Python 3, experience with test automation frameworks, and familiarity with the software testing life cycle. Proficiency in tools like Jira or Bugzilla for defect tracking, as well as basic command-line operations on Linux, will be essential. Knowledge of containers, Docker operations, and Git version control system will also be beneficial. While exposure to Computer Vision software, PyTorch, AWS, and DevOps concepts are considered advantageous, a background in B.Tech / BE / MCA / M.Sc in Computer Science, IT, or related field with a minimum of 60% marks or 7+ CGPA is required. Joining us will provide you with hands-on experience in QA automation projects, exposure to cutting-edge technologies, mentorship from industry experts, and a fast-paced learning environment. This opportunity also offers the potential for full-time conversion upon successful completion of the internship.,
Job Title: Senior AI Technical Lead – GenAI & Conversational Bot Development Location: Gurugram Employment Type: Full-Time day shift Onsite (Mon-Fri) Experience Required: 8–10 Years About the Role We are seeking a visionary and hands-on Senior AI Technical Lead to spearhead our Generative AI initiatives focusing on conversational bot development, prompt engineering, and scalable AI solutions. This role demands deep technical expertise, strategic thinking, and the ability to lead and mentor a high-performing team in a fast-paced, innovation-driven environment. You will be at the forefront of designing and deploying cutting-edge GenAI systems that redefine how users interact with intelligent agents. Key Responsibilities AI & GenAI Design and implement scalable GenAI architectures for conversational bots and intelligent agents Define the workflows for agent and conversational bots to solve various business problems Architect solutions for multi-modal AI (text, image, voice) and retrieval-augmented generation (RAG) Integrate the bots with various channel, including, WhatzApp, Instagram, websites, mobile, etc Prompt Engineering & Optimization Develop and refine advanced prompt strategies for LLMs to ensure high-quality, context-aware responses for bots and agents Build reusable prompt libraries and frameworks for internal use Evaluate prompt performance using metrics like coherence, relevance, and factuality Architecture & Patterns Understand multilayered application architecture, micro-services, APIs and Kubernetes Understand integration with multiple channels and communication platforms, for example, WhatzApp, Instagram, Facebook Prior experience working on integration platforms, session management, data integration challenges, etc Understand concepts around performance optimization across devices Understand the overall release process and support teams in building a seamless release process. Technical Leadership Lead a team of 10 - 12 engineers, data scientists, and designers through agile development cycles Drive technical roadmap, sprint planning, and code reviews Foster a culture of innovation, experimentation, and continuous learning Ability to drive delivery of applications working collaboratively with various stakeholders Training and Evaluation Work with various stakeholders to identify the data, versions, and ingestion of data into RAG Create automation pipelines to process data for ingestion into RAG databases Work on migration of data, validation, security and encryption Stakeholder Collaboration Work closely with product managers, UX designers & business leaders to align AI capabilities with user needs Translate business requirements into technical specifications and deliverables Required Skills & Qualifications Education Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field Technical Expertise 8–10 years of experience in AI/ML development, with at least 2–3 years in GenAI or LLM-based systems Proficiency in Python, LangChain, Hugging Face Transformers Understanding of bot frameworks such as RASA, BotPress or similar open or closed source frameworks Deep understanding of NLP, LLMs, embeddings, vector databases Experience with cloud platforms (Azure) and containerization (Docker, Kubernetes) Strong understanding of programming languages, such as python
Role Overview: You are a highly skilled AI/ML Engineer with expertise in Python and hands-on experience in developing LLM-based applications. You will be responsible for designing, developing, and deploying LLM-powered applications using frameworks like LangChain and LlamaIndex. Your passion for building cutting-edge AI systems that combine machine learning with advanced language models will drive you to implement and optimize RAG pipelines and integrate large language models such as GPT, LLaMA, Mistral, etc. Additionally, you will work on building and maintaining vector databases for semantic search and context augmentation, collaborating with cross-functional teams to deploy AI features into scalable production systems, and staying updated with the latest developments in generative AI and open-source LLM tools. Key Responsibilities: - Design, develop, and deploy LLM-powered applications using frameworks like LangChain and LlamaIndex. - Implement and optimize RAG pipelines to enable efficient and scalable retrieval and generation workflows. - Fine-tune and integrate large language models (LLMs) such as GPT, LLaMA, Mistral, etc. - Build and maintain vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and context augmentation. - Work with unstructured data (documents, PDFs, web data) to extract and process meaningful content for use in AI applications. - Collaborate with data scientists, product teams, and backend engineers to deploy AI features into scalable production systems. - Monitor performance of deployed models and pipelines; continuously improve based on feedback and usage analytics. - Stay updated with the latest developments in generative AI, prompt engineering, and open-source LLM tools. Qualification Required: - 1+ years of hands-on experience in Python development for AI/ML applications. - Solid understanding of large language models, prompt engineering, and model fine-tuning. - Proficient with LangChain and LlamaIndex for building composable LLM workflows. - Experience building RAG systems, including retrieval, chunking, embedding, and context injection. - Familiarity with vector stores such as FAISS, Chroma, Weaviate, or Pinecone. - Experience with Hugging Face Transformers, OpenAI, or similar model providers. - Good understanding of REST APIs, microservices architecture, and deploying AI services in production. Additional Details of the Company: You will have the opportunity to work with state-of-the-art AI and LLM technologies and gain access to training, certifications, and conferences in AI/ML. The company offers a collaborative and innovative work culture.,
Job Title Sales Engineer Job Overview We are seeking a highly motivated and technically proficient Sales Engineer to join our team. The ideal candidate will use a deep understanding of our products and services to drive sales by demonstrating how our solutions can meet customer needs and solve their specific business challenges. The Sales Engineer will be a key advisor to clients and an essential liaison between our sales and engineering departments. Key Responsibilities Key responsibilities include providing pre-sales technical support through presentations and demonstrations, analyzing client needs to design solutions, assisting the sales team with proposals and business cases, building strong client relationships, and relaying customer feedback to product development. They also offer post-sales support and troubleshooting, stay informed on market trends, and maintain CRM records. Qualifications and Requirements: A Bachelor's degree in a technical field is preferred Fresher / Experienced Probationary period Two-Three months Position and Duties: The Employee agrees to work as Sales Engineer and to perform the duties and responsibilities listed below, and as may be reasonably assigned by the Employer from time to time. 1. Providing pre-sales technical support through presentations and demonstrations. 2. analyzing client needs to design solutions 3. assisting the sales team with proposals and business cases 4. building strong client relationships, and relaying customer feedback to product development 5. also offer post-sales support and troubleshooting, stay informed on market trends, and maintain CRM records . 6. Online promotion of products and services. 7. Searching, preparing, and submitting tenders/bids on various platforms. 8. Handling GeM Portal and IndiaMART inquiries and sales. 9. Handling company linkedin account 10. Coordinating with clients via calls, emails, and chat. 11. Sending email, quotation, and proposal. 12. Lead generation, follow-up, and conversion to sales. 13. Maintaining records of sales activities and tender submissions. 14. Attending client’s meeting online/offline 15. Traveling out of town for client’s meeting and technical support during the project execution. 16. list of responsibilities is provided but not limited to. Place: Service shall be performed pan India, and reporting to Head Quarter shall be Delhi, India.
Job Overview We are looking for a skilled Product Engineer to join our team and contribute to the design, development, and improvement of our products. You will collaborate with cross-functional teams to translate user needs into technical specifications and help shape our product roadmap. Key Responsibilities Key responsibilities of a product engineer include product design, prototype development and testing, market analysis, cross-functional collaboration, quality assurance, and product lifecycle management. Product engineers ensure products are functional, manufactural, and meet customer and business needs by working with various teams from concept to production. Qualifications and Requirements A Bachelor's degree in a technical field is preferred, B.E./B.TECH in Electronic, Electricals/Telecommunication, IT, Computer Science. Fresher / Experienced Probationary period Two-Three months Position and Duties: The Employee agrees to work as Product Engineer and to perform the duties and responsibilities listed below, and as may be reasonably assigned by the Employer from time to time. 1. Design and Development a. Design and develop products: From initial concept to final launch, product engineers design and create new products, ensuring they are functional, reliable, and meet specifications. b. Create prototypes: They build and test prototypes to validate designs and ensure products meet performance, durability, and safety standards. c. Optimize manufacturing: Product engineers select materials and optimize manufacturing processes to ensure products can be made efficiently and cost-effectively 2. Market & Customer Focus a. Market analysis: They analyze industry trends, identify customer needs and requirements, and research competitors to inform product development. b. Develop product ideas: Based on market research, customer preferences, and budgets, they generate design ideas and solutions 3. Collaboration & Communication a. Work with cross-functional teams: Product engineers collaborate closely with design, marketing, manufacturing, and product management teams to ensure successful product development and launch. b. Communicate effectively: They provide technical expertise and support throughout the product lifecycle and create detailed product documentation, including specifications and user manuals. 4. Testing & Quality a. Product testing and quality assurance: They develop and conduct rigorous product testing, analyze performance data, and ensure products meet quality, safety, and regulatory standards. b. Improve existing products: Product engineers analyze existing product lines to identify areas for improvement and implement new technologies or design changes. 5. Product Lifecycle Management a. Oversee production: They oversee the production process, identifying and resolving any engineering issues that arise. b. Ensure compliance: They ensure products comply with all applicable industry standards and regulatory requirements. Place: Service shall be performed pan India, and reporting to Head Quarter shall be Delhi, India.