Roles & Responsibilities:
Implementation & validation of AI-powered solutions with modular, reusable components using Python, REST APIs & in-house developed AI framework/s.
Contribute to the development of AI pipelines, from data ingestion to model deployment and monitoring.
Collaborate across domains to integrate AI/LLM capabilities to realize use cases such as AI-powered ASPICE assessments, Artefacts evaluation, etc.
Optimize agent behavior for safety, efficiency, and explainability.
Technical Skills:
Strong programming background in Python with experience in AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
Knowhow of RAG concept.
Understanding of LLMs, Embeddings, and multi-model reasoning.
API orchestration, and GenAI prompt engineering.
Familiarity with tools like Git,GITHUB ,versioning concepts.
Strong analytical and problem-solving skills with a user-centric design mindset.
Familiarity of A2A,MCP protocols.+
Workflow Management: Experience with workflow automation tools like PowerAutomate, n8n,
Hands-on experience with GenAI foundation models and vector databases, leveraging foundational AI models for advanced capabilities.
Familiarity with automotive standards such as ASPICE PAM model .(Good to have)