Job
Description
Job Type: Full-Time Location: Pune & Mumbai (Onsite) Work Timings: 10am to 7pm Experience Required: 2+ Years About the company InCommon is hiring on behalf of Kale Logistics. Kale Logistics Solutions , founded in 2010, is a global cloud-based tech provider serving Fortune 500 companies. Specializing in logistics technology , we offer Cargo Community Platforms that streamline trade-related data exchange. With offices in India, UAE, Kenya, Netherlands, and North America , and 5,500+ clients across 40 countries , we enhance operational efficiency for Logistics Service Providers (LSPs) worldwide. Why Join Kale Logistics Solutions? Impactful Work Be part of a team shaping the future of logistics technology. Innovation-Driven Culture Work on cutting-edge cloud-based enterprise solutions. Global Exposure Collaborate with teams and clients across multiple countries. Growth & Learning Opportunities for professional development and career progressive Position Summary We are looking for a highly skilled AI Engineer to lead the development of innovative Generative and Agentic AI applications. In this role, you will design and integrate AI solutions that leverage state-of-the-art models into web-based applications. You will collaborate with cross-functional teams to build, deploy, and scale AI-powered solutions that drive business value. If you are eager to work with new technologies, explore emerging trends in AI, and contribute to transformative projects, we want you on our team! Key Responsibilities Develop and deploy scalable AI-powered applications using the Python stack. Leverage cutting-edge AI/ML technologies such as LangChain, LangGraph, AutoGen, Phidata, CrewAI Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and other advanced frameworks to build innovative AI applications. Write clean, efficient, and well-documented code adhering to best practices. Build and manage robust APIs for integrating AI solutions into applications. Research and experiment with emerging technologies to discover new AI-driven use cases. Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP), ensuring security, scalability, and performance. Collaborate with product managers, engineers, and UX/UI designers to define AI application requirements and align them with business objectives. Apply MLOps principles to streamline AI model deployment, monitoring, and optimization. Solve complex problems using foundational knowledge of generative AI, machine learning, and data processing techniques. Contribute to continuous improvement of development processes and practices. Resolve production issues by conducting effective troubleshooting and root cause analysis (RCA) within SLAs. Work with operations teams to support product deployment and issue resolution. Requirements Educational Background Bachelors or Masters degree in Computer Science or related fields with a strong academic track record. Experience Technical Skills: 3+ years of hands-on experience in building and deploying AI applications on Python stack. Strong knowledge of Python and related frameworks. Good knowledge of few of the AI/ML frameworks and agentic frameworks and platforms like LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs, PyTorch, and TensorFlow etc. Experience with AI/ML workflows, including data preparation, model deployment, and optimization. Proficiency in building and consuming RESTful APIs for connecting AI models with web applications. Knowledge of MLOps tools and practices, including model lifecycle management, CI/CD for AI, and model monitoring. Join us in revolutionizing logistics through cutting-edge technology solutions !
