At ElectroGlobal, our AI & LLM Systems team is building intelligent products that go beyond demos — production-grade AI agents, automation pipelines and large-language-model integrations that solve real engineering and business problems.
You'll work at the intersection of cutting-edge AI research and practical deployment, shipping models and systems that are used by real customers from day one.
What You'll Build
• End-to-end LLM-powered agents using LangChain, LlamaIndex or custom orchestration layers
• RAG pipelines connecting proprietary knowledge bases to foundation models
• AI automation workflows integrating with external APIs, databases and hardware systems
• Fine-tuned models for domain-specific tasks in electronics, engineering and industrial contexts
• Evaluation frameworks and observability tooling for production AI systems
Skills & Requirements
• Python (expert level) — numpy, pandas, PyTorch or TensorFlow
• Hands-on experience with OpenAI, Anthropic, Mistral or open-source LLM APIs
• LangChain, LlamaIndex or similar orchestration frameworks
• Vector databases: Pinecone, Weaviate, Chroma or pgvector
• REST API design, async Python, Docker and basic cloud deployment (AWS / GCP)
Who You'll Work With
Embedded with our AI Research pod, collaborating closely with embedded systems engineers, product designers and the founding team.
What We Offer
• Competitive salary with ESOP participation
• Access to GPU compute for research and development
• Direct exposure to AI products shipping to real customers
• Mentorship from senior AI researchers and founders
• Flexible working hours with a high-autonomy culture