Logistic Infotech is a client-oriented company that offers web and mobile app development, web and graphics design, custom development, and marketing services. They specialize in optimizing business importance in the international marketplace by merging imagination with cutting-edge technologies. They have worked with clients from various countries, including the USA, UK, Germany, Australia, Switzerland, New Zealand, UAE, and Canada.
Logistic Infotech started in early 2010 when four unemployed friends decided to establish a company that offers unique and innovative ideas in the challenging IT market. They started with a small set up of two PCs installed at a residential apartment in Rajkot city, Gujarat. The company's involvement in tech geeks who programmed day and night without getting interrupted by their social life made the company what it is today. Logistic Infotech offers branding strategies and quality control for satisfactory user experience, complementing their web and mobile app development services. They believe in "Complete Client Satisfaction," making them a client-oriented company.
Logistic Infotech operates in the web and mobile app development industry, providing services to clients worldwide. They have worked with clients from various countries, including the USA, UK, Germany, Australia, Switzerland, New Zealand, UAE, and Canada.
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Remote only
3 - 6 yrs
₹10L - ₹15L / yr
Artificial Intelligence (AI)
TensorFlow
Generative AI
Chatbot
Retrieval Augmented Generation (RAG)
+3 more
Role: Lead AI Engineer
Exp: 3-6 Years
CTC: 35.00-40.00 LPA
Work Mode :WFH
Mandatory Criteria (Can't be neglected during screening) :
• Need Excellent Communication skills as the company is dealing with US Clients also
• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.
• Proven experience in conducting A/B testing and beta testing for AI systems.
• Hands-on experience with CrewAI and LangChain tools.
• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.
• Should have practical experience with LLM application deployment.
• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.
• Proficiency with cloud platforms (AWS, Azure, GCP)
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