Role: AI Engineer (Junior)
Year: 2026
Qualification: Bachelors
Experience (years): 5-10
Job description:
4–5 years of proven development experience in AI/ML for embedded device
Strong expertise in deep learning frameworks (TensorFlow, PyTorch, ONNX, TensorRT).
Expert proficiency with open-source infrastructure tools like llama.cpp, vLLM, Ollama, and NVIDIA Triton Inference Server for local model serving, high-throughput inference, and quantization.
Hands-on experience building complex, stateful workflows and tracking applications using LangChain, LangGraph, and Langfuse.
Expertise in selecting, benchmarking, and adapting state-of-the-art open-source architectures (such as Llama 3, gemma, Qwen, and Kimi) for enterprise tasks
Practical experience with edge/embedded AI (NVIDIA Jetson, Qualcomm, ARM).
Proficiency in NLP / Conversational AI / Speech interfaces ( ASR, TTS )
Solid programming skills in Python and C++/Java for optimization and integration.
Solid understanding of application development in embedded Linux / Android
Familiarity with automotive standards, protocols such as CAN
Familiarity with cloud ML services like AWS SageMaker or Azure ML
Good communication skills and great team spirit.
Experience working with embedded Linux, Automotive Android
Knowledge of vehicle data interfaces (CAN, OBD-II, sensors).
Exposure to LLMOps & MLOps pipelines and cloud platforms (AWS/GCP/Azure).

Technical skills: Python, C++, Java, TensorFlow/PyTorch, vLLM, Ollama, LangChain, LangGraph, NLP, AWS/Azure, MLOps
Soft skills: Communication, Problem Solving