Lead AI Engineer
Full-time
InfiCare Technologies
Role Description
As a Lead AI Engineer, you will be responsible for designing and implementing multi-agent AI systems and autonomous business workflows. Your key responsibilities include:
- Design and implement multi-agent AI systems and autonomous business workflows
- Develop and deploy LLM-based applications using LangChain, LlamaIndex, and Hugging Face ecosystem
- Build and maintain RAG (Retrieval-Augmented Generation) pipelines and vector databases
- Integrate LLMs with external systems and enterprise applications via APIs
- Perform LLM fine-tuning, prompt engineering, and model performance optimization in production
- Build conversational AI interfaces, chatbots, and AI-powered applications
- Advise on best practices for AI agent development and enterprise AI integration
- Manage stakeholder communication regarding AI capabilities, limitations, and project timelines
- Produce AI system architecture and technical design documentation
Qualifications
- 4-6 years of experience in AI engineering
- Bachelor's degree in Computer Science, AI/ML, or equivalent experience required
Requirements
- Python, FastAPI, Flask
- LangChain, LlamaIndex, Transformers library, PyTorch
- OpenAI API, Azure OpenAI, Anthropic Claude
- AWS Bedrock, Google Vertex AI / Google Cloud AI
- Vector databases: Pinecone, Weaviate, ChromaDB
- JavaScript / TypeScript for AI frontend integration
- Git, Docker, Kubernetes
- SQL / NoSQL databases for AI data management
- MLOps tools and practices
- API development and Postman for API testing
Location & Work Model
- Fully remote with a preference for candidates based in the Eastern region of the U.S. to support overlap with international teams
- Virtual interviews
Engagement Details
- Contract engagement approximately 3 months
- Early shift availability preferred to accommodate collaboration with teams in India and the UK
Vacancy posted 20 hours ago
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