Job Title : AI / AM Software Developer
Location : Mumbai (On-site)
Experience : 1-2 Years
Abou the Role :
We are seeking a passionate AI / ML Software Developer to design, develop, and deploy scalable machine learning solutions and intelligent multi-agent systems. The ideal candidate will have hands-on experience with deep learning frameworks, NLP, computer vision, and reinforcement learning — building end-to-end AI applications from experimentation to production.
Key Responsibilities :
- Develop, train, and optimize machine learning and deep learning models for real-world applications.
- Build and deploy scalable AI workflows on cloud platforms such as AWS SageMaker and Google AI Platform .
- Architect and implement multi-agent systems leveraging reinforcement learning (RL) for automated decision-making.
- Develop computer vision pipelines using YOLO , OpenCV , Grounding DINO , and SAM for object detection and segmentation.
- Implement NLP solutions using transformer-based models (BERT, GPT, etc.) for chatbot and automation systems.
- Design and manage ETL pipelines and data preprocessing workflows using tools like Kafka and PySpark .
- Integrate AI components with web frameworks ( FastAPI , Next.js ) for real-time and interactive user experiences.
- Collaborate with cross-functional teams to optimize models for performance and scalability using ONNX and TensorRT .
- Research and apply cutting-edge AI agentic workflows with tools like LangChain , LangGraph , and CrewAI .
Requirements :
Programming : Python, C++, JavaScriptFrameworks : TensorFlow, PyTorch, Keras, scikit-learn, FastAPIAI / ML Concepts : Reinforcement Learning, NLP, Computer Vision, Deep LearningDatabases : SQL, NoSQL (MongoDB, Firebase), Vector DatabasesTools & Platforms : PySpark, Kafka, AWS, Google Cloud, Git, GitHub, BitbucketOptimization & Deployment : ONNX, TensorRT, LoRA / QLoRAAgentic AI & LLM Tools : LangChain, LangGraph, RAG, CrewAI, AutoGenPreferred Experience (Projects or Similar Work) :
Retail AI Solutions : Automated product recognition and billing systems using VLLM and segmentation models.Conversational AI : Voice-enabled NLP chatbots for customer support using transformer models and Eleven Labs.Financial AI Systems : Multi-agent loan processing systems integrating OCR, NLP, and reinforcement learning for underwriting.Qualification :
B.Tech in Computer Science or related field (preferred : AI / ML specialization).1–2 years of hands-on experience in AI / ML software development.Note : We are looking for immediate joiner.