Were looking for a Senior Generative AI Engineer with 7 years of experience in software development and a solid background in FastAPI LLM frameworks and large-scale AI systems.
- Build and deploy scalable GenAI applications using Python (FastAPI) and modern LLM frameworks.
- Design event-driven asynchronous microservices for chatbots copilots and agentic workflows.
- Implement secure REST/gRPC APIs and maintain clean modular code using Pydantic and dependency injection.
- Integrate databases (SQLAlchemy BigQuery) and ensure observability across services.
- Develop LLM-powered conversational interfaces using LangChain OpenAI Gemini or Claude.
- Create RAG pipelines and apply prompt engineering for grounded intelligent interactions.
- Fine-tune open-source LLMs (LLaMA variants) and optimize inference on multi-GPU clusters.
- Develop and orchestrate multi-agent systems using LangGraph ADK and Pydantic AI.
- Deploy on Cloud Run / GKE using Docker and CI/CD pipelines.
- Collaborate cross-functionally to deliver high-performance production-ready AI solutions.
Qualifications :
- FastAPI strong hands-on experience building scalable asynchronous microservices
- LLM Application Frameworks solid experience with LangChain LangGraph Pydantic AI or similar orchestration frameworks
- Google BigQuery experience integrating and querying large-scale datasets
- OpenAI APIs and REST/gRPC proven experience working with enterprise-grade LLM APIs (GPT-4 Gemini Claude Mistral)
Additional Information :
Preferred Tech Stack:
- Languages/Frameworks: Python FastAPI LangChain LangGraph Pydantic AI ADK
- LLMs & Agents: OpenAI (GPT-4) Claude Gemini Mistral LLaMA 3.2/4
- Databases: BigQuery Redis FAISS Pinecone SQLAlchemy Chroma GCP Vector Search
- APIs/Protocols: REST gRPC WebSockets OAuth2 OpenAPI MCP A2A
Remote Work :
Yes
Employment Type :
Full-time
Were looking for a Senior Generative AI Engineer with 7 years of experience in software development and a solid background in FastAPI LLM frameworks and large-scale AI systems.Build and deploy scalable GenAI applications using Python (FastAPI) and modern LLM frameworks.Design event-driven asynchrono...
Were looking for a Senior Generative AI Engineer with 7 years of experience in software development and a solid background in FastAPI LLM frameworks and large-scale AI systems.
- Build and deploy scalable GenAI applications using Python (FastAPI) and modern LLM frameworks.
- Design event-driven asynchronous microservices for chatbots copilots and agentic workflows.
- Implement secure REST/gRPC APIs and maintain clean modular code using Pydantic and dependency injection.
- Integrate databases (SQLAlchemy BigQuery) and ensure observability across services.
- Develop LLM-powered conversational interfaces using LangChain OpenAI Gemini or Claude.
- Create RAG pipelines and apply prompt engineering for grounded intelligent interactions.
- Fine-tune open-source LLMs (LLaMA variants) and optimize inference on multi-GPU clusters.
- Develop and orchestrate multi-agent systems using LangGraph ADK and Pydantic AI.
- Deploy on Cloud Run / GKE using Docker and CI/CD pipelines.
- Collaborate cross-functionally to deliver high-performance production-ready AI solutions.
Qualifications :
- FastAPI strong hands-on experience building scalable asynchronous microservices
- LLM Application Frameworks solid experience with LangChain LangGraph Pydantic AI or similar orchestration frameworks
- Google BigQuery experience integrating and querying large-scale datasets
- OpenAI APIs and REST/gRPC proven experience working with enterprise-grade LLM APIs (GPT-4 Gemini Claude Mistral)
Additional Information :
Preferred Tech Stack:
- Languages/Frameworks: Python FastAPI LangChain LangGraph Pydantic AI ADK
- LLMs & Agents: OpenAI (GPT-4) Claude Gemini Mistral LLaMA 3.2/4
- Databases: BigQuery Redis FAISS Pinecone SQLAlchemy Chroma GCP Vector Search
- APIs/Protocols: REST gRPC WebSockets OAuth2 OpenAPI MCP A2A
Remote Work :
Yes
Employment Type :
Full-time
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