**Urgent**Edge AI Engineer | Edge AI Platforms| Embedded Programming| RAG|LLM| Vector DB| 4-6Yrs...

About Senzcraft:

Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. Senzcraft vision is to Radically Simplify Today's Work. And Design Business Process For The Future. Using intelligent process automation technologies.

We have a suite of SaaS products and services, partnering with automation product companies.

Please visit our website - https://www.senzcraft.com for more details

• Our AI Operations SaaS platform – https://MagicOps.ai
• Senzcraft on linkedin -> https://www.linkedin.com/company/senzcraft

Senzcraft is awarded by Analytics India Magazine in it’s report “State of AI in India” as a “Niche AI startup”. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider.

About the Opportunity:

We are looking for an engineer experienced in deploying and optimizing Large Language Models on edge devices, preferably NVIDIA Jetson platforms. The role is not limited to model inference; the candidate should be able to design practical LLM-based solutions for real-world scenarios using prompt engineering, input preprocessing, caching strategies, data creation, and model fine-tuning when required.

The ideal candidate should understand how to make LLM applications reliable, efficient, and context-aware under edge-device constraints such as limited compute, memory, latency, and power.

Location: Bangalore (Hybrid)

Experience: 4-6 Years

Mandatory Skills

• Hands-on experience with LLMs, prompt engineering, and scenario-specific prompt design.
• Experience running AI/ML models on edge devices with compute and memory constraints.
• Practical knowledge of preprocessing techniques for text, speech transcripts, and structured inputs.
• Experience implementing caching, context management, and optimization techniques for LLM applications.
• Ability to create datasets and fine-tune or adapt models for domain-specific use cases.
• Strong Python programming skills.
• Understanding of NLP tasks such as intent handling, entity extraction, and text classification.
• Experience with model evaluation, latency optimization, and debugging AI behavior.
• Familiarity with NVIDIA Jetson or similar edge AI platforms.

Good to Have Skills

• Experience with speech processing, speech-to-text systems, and audio preprocessing.
• Knowledge of noise handling, speech enhancement, and robust voice input pipelines.
• Experience with NER models and entity extraction pipelines.
• Familiarity with TensorRT, ONNX, PyTorch, Hugging Face, or similar model deployment tools.
• Experience with quantization, pruning, distillation, or other model compression techniques.
• Knowledge of retrieval-augmented generation, vector databases, or local knowledge caching.
• Experience building real-time AI applications on embedded Linux systems.
• Familiarity with multilingual or domain-specific language processing.
• Experience integrating LLMs with sensors, robotics, industrial systems, or IoT devices.