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Associate AI & LLM Systems Engineer
Electroglobal · Jaipur · onsite · Posted 47d ago
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About this role
About ElectroGlobal Solutions
ElectroGlobal Solutions Private Limited
Jaipur, Rajasthan
Recognized under the Startup India initiative and supported through the innovation ecosystem of the Government of Rajasthan, ElectroGlobal is committed to developing next-generation technology products that solve real-world industrial and business challenges. The company leverages startup ecosystem support from Microsoft and Amazon Web Services (AWS).
Role Overview
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
Embedded with our AI Research pod, collaborating closely with embedded systems engineers, product designers and the founding team.
What We Offer
ElectroGlobal Solutions Private Limited
Jaipur, Rajasthan
- Deep-Tech Product Company
Recognized under the Startup India initiative and supported through the innovation ecosystem of the Government of Rajasthan, ElectroGlobal is committed to developing next-generation technology products that solve real-world industrial and business challenges. The company leverages startup ecosystem support from Microsoft and Amazon Web Services (AWS).
Role Overview
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
- 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)
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
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Skills
Dockeropen-source LLM APIsrest api designgoogle cloud platformamazon web servicesWeaviateChromaDBvector databasespgvectorPytorchTensorfloworchestration frameworksasync PythonPythonPinecone DBPandasNumpyLangchainLlamaindex