We are seeking a dynamic and results-oriented Sales Executive to join our growing sales team. The ideal candidate will be responsible for driving on-field sales, building strong customer relationships, and achieving monthly and quarterly sales targets. This role involves extensive field visits, client meetings, and market research to expand business opportunities. Key Responsibilities: Conduct regular on-field visits to prospective and existing clients to promote company products/services. Develop and maintain strong relationships with customers to ensure repeat business and client satisfaction. Identify new business opportunities through market research, cold calling, and networking. Meet or exceed assigned sales targets and KPIs. Prepare and submit daily/weekly sales reports and updates to management. Negotiate contracts, handle customer objections, and close deals effectively. Collaborate with the marketing and customer service teams to ensure seamless customer experience. Keep up to date with industry trends, competitor activities, and market conditions. Qualifications and Requirements: Education: MBA in Marketing, Sales, or a related field (mandatory). Experience: 1–3 years of on-field sales experience preferred (fresh MBA graduates may also apply). Job Types: Full-time, Permanent, Fresher Pay: From ₹20,000.00 per month Work Location: In person
We are seeking a dynamic and results-oriented Sales Executive to join our growing sales team. The ideal candidate will be responsible for driving on-field sales, building strong customer relationships, and achieving monthly and quarterly sales targets. This role involves extensive field visits, client meetings, and market research to expand business opportunities. Key Responsibilities: Conduct regular on-field visits to prospective and existing clients to promote company products/services. Develop and maintain strong relationships with customers to ensure repeat business and client satisfaction. Identify new business opportunities through market research, cold calling, and networking. Meet or exceed assigned sales targets and KPIs. Prepare and submit daily/weekly sales reports and updates to management. Negotiate contracts, handle customer objections, and close deals effectively. Collaborate with the marketing and customer service teams to ensure seamless customer experience. Keep up to date with industry trends, competitor activities, and market conditions. Qualifications and Requirements: Education: MBA in Marketing, Sales, or a related field (mandatory). Experience: 1–3 years of on-field sales experience preferred (fresh MBA graduates may also apply). Job Types: Full-time, Permanent, Fresher Pay: From ₹20,000.00 per month Work Location: In person
AI/ML Intern – Building & Scaling AI AgentsAbout the Role We are looking for final-year undergraduate students passionate about Artificial Intelligence to join as AI/ML Interns. You will work on designing, developing, fine-tuning, and scaling AI agents capable of solving real-world tasks across automation, data intelligence, customer interaction, and productivity domains. In addition, you will contribute to Natural Language Processing and Computer Vision initiatives to enhance the intelligence and capability of our AI systems. Key ResponsibilitiesAI Agents Build AI agents using LLM frameworks and APIs (e.g., OpenAI, LangChain, RAG pipelines, agent frameworks) Develop capabilities such as reasoning, tool usage, decision-making, and multi-step task automation Train, fine-tune, or optimize models for performance, accuracy, latency, and cost Work with vector databases, embeddings, and knowledge bases Integrate agents into applications via APIs, microservices, or front-end interfaces Collaborate with product & engineering teams to translate requirements into deliverables Document systems, experiments, results, and best practices Natural Language Processing (NLP) Work on text-based AI capabilities such as: chatbots, Q&A systems, summarization, document intelligence, and text insights Handle preprocessing, tokenization, dataset preparation, and experimentation Build or fine-tune lightweight NLP / LLM models where required Support building RAG, knowledge assistants, and domain-specific language applications Computer Vision / Image AI Work on vision-based features such as: image classification, detection, OCR, document/image understanding, or multimodal systems Use frameworks such as OpenCV, PyTorch/TensorFlow Vision APIs, or pre-trained models Assist with dataset creation, labeling, augmentation, and evaluation Contribute to integrating vision models into real-world applications Required Qualifications Final-year undergraduate student in Computer Science / AI / Data Science / Electronics / or related field Strong understanding of Machine Learning or Deep Learning fundamentals Proficiency in Python Experience with at least one of the following: LLMs (OpenAI, Llama, Claude, etc.) ML frameworks (PyTorch / TensorFlow / Scikit-learn) Agent frameworks (LangChain / LlamaIndex / AutoGen etc.) Experience with Retrieval Augmented Generation (RAG) Familiarity with REST APIs and basic backend integration Problem-solving mindset with ability to learn fast Good to Have (Bonus) Knowledge of prompt engineering Experience with cloud deployment (Docker, Kubernetes, serverless) Deploy and scale AI systems on cloud platforms (AWS / GCP / Azure / others) Experience working with datasets, data cleaning, and pipelines Basic understanding of software engineering best practices (Git, GitHub) Exposure to HuggingFace, OpenCV, YOLO, or Vision Transformers Prior research projects / hackathons / publications / GitHub portfolio What You’ll Gain Hands-on experience building production-grade AI agents Exposure to cutting-edge LLM, NLP & Computer Vision technologies Mentorship from AI engineers and product leaders Opportunity to convert to a full-time role (performance-based) Duration & Logistics Internship Duration: 3–6 months Mode: On-site Stipend: ₹10,000 – ₹20,000 (performance based) How to Apply Submit: Resume GitHub / Portfolio / LinkedIn Contatct: [email protected] Job Types: Part-time, Internship Contract length: 6 months Pay: From ₹10,000.00 per month Expected hours: 48 per week Work Location: In person
AI/ML Intern – Building & Scaling AI AgentsAbout the Role We are looking for final-year undergraduate students passionate about Artificial Intelligence to join as AI/ML Interns. You will work on designing, developing, fine-tuning, and scaling AI agents capable of solving real-world tasks across automation, data intelligence, customer interaction, and productivity domains. In addition, you will contribute to Natural Language Processing and Computer Vision initiatives to enhance the intelligence and capability of our AI systems. Key ResponsibilitiesAI Agents Build AI agents using LLM frameworks and APIs (e.g., OpenAI, LangChain, RAG pipelines, agent frameworks) Develop capabilities such as reasoning, tool usage, decision-making, and multi-step task automation Train, fine-tune, or optimize models for performance, accuracy, latency, and cost Work with vector databases, embeddings, and knowledge bases Integrate agents into applications via APIs, microservices, or front-end interfaces Collaborate with product & engineering teams to translate requirements into deliverables Document systems, experiments, results, and best practices Natural Language Processing (NLP) Work on text-based AI capabilities such as: chatbots, Q&A systems, summarization, document intelligence, and text insights Handle preprocessing, tokenization, dataset preparation, and experimentation Build or fine-tune lightweight NLP / LLM models where required Support building RAG, knowledge assistants, and domain-specific language applications Computer Vision / Image AI Work on vision-based features such as: image classification, detection, OCR, document/image understanding, or multimodal systems Use frameworks such as OpenCV, PyTorch/TensorFlow Vision APIs, or pre-trained models Assist with dataset creation, labeling, augmentation, and evaluation Contribute to integrating vision models into real-world applications Required Qualifications Final-year undergraduate student in Computer Science / AI / Data Science / Electronics / or related field Strong understanding of Machine Learning or Deep Learning fundamentals Proficiency in Python Experience with at least one of the following: LLMs (OpenAI, Llama, Claude, etc.) ML frameworks (PyTorch / TensorFlow / Scikit-learn) Agent frameworks (LangChain / LlamaIndex / AutoGen etc.) Experience with Retrieval Augmented Generation (RAG) Familiarity with REST APIs and basic backend integration Problem-solving mindset with ability to learn fast Good to Have (Bonus) Knowledge of prompt engineering Experience with cloud deployment (Docker, Kubernetes, serverless) Deploy and scale AI systems on cloud platforms (AWS / GCP / Azure / others) Experience working with datasets, data cleaning, and pipelines Basic understanding of software engineering best practices (Git, GitHub) Exposure to HuggingFace, OpenCV, YOLO, or Vision Transformers Prior research projects / hackathons / publications / GitHub portfolio What You’ll Gain Hands-on experience building production-grade AI agents Exposure to cutting-edge LLM, NLP & Computer Vision technologies Mentorship from AI engineers and product leaders Opportunity to convert to a full-time role (performance-based) Duration & Logistics Internship Duration: 3–6 months Mode: On-site Stipend: ₹10,000 – ₹20,000 (performance based) How to Apply Submit: Resume GitHub / Portfolio / LinkedIn Contatct: harshith@tejsoft.com Job Types: Part-time, Internship Contract length: 6 months Pay: From ₹10,000.00 per month Expected hours: 48 per week Work Location: In person