Overview
Build LLM-powered intelligent agents and autonomous AI workflows for embedded and edge platforms in automotive/connected ecosystems.
What you'll do
- Design and develop LLM-powered agentic workflows for embedded/edge platforms.
- Build AI agents and orchestration pipelines using LangChain/LangGraph.
- Develop multimodal AI systems using text, logs, and sensor-based inputs.
- Implement RAG pipelines and prompt engineering strategies.
- Optimize edge AI inferencing, including TensorFlow Lite or similar frameworks.
- Develop microservices-based architectures for scalable AI deployment.
- Integrate AI agents into distributed and service-oriented platforms.
What you'll need
- 1 to 3 years of experience in AI/ML and software development.
- Hands-on experience in LLM-based application development.
- Hands-on experience with agentic AI workflows and orchestration frameworks (e.g., LangChain).
- Good understanding of multimodal AI systems.
- Knowledge of RAG pipelines and prompt engineering.
- Experience in edge AI deployment, including TensorFlow Lite or similar.
- Understanding of microservices architecture, distributed systems, and service-oriented design.
Nice to have
- Experience in automotive embedded systems.
- Exposure to CI/CD integration for AI pipelines.
- Experience with AI-driven SDLC automation tools.
- Experience building AI solutions for debugging, testing, or requirement automation.
Details
- Expected to work 5 days a week in office.
Read the full description and apply on the company’s own careers page.
