Lead AI Engineer
Full-time
InfiCare Technologies
Role Description
The Lead AI Engineer will be responsible for designing and implementing 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
- Proficiency in Python, FastAPI, Flask.
- Experience with LangChain, LlamaIndex, Transformers library, PyTorch.
- Familiarity with OpenAI API, Azure OpenAI, Anthropic Claude.
- Knowledge of AWS Bedrock, Google Vertex AI / Google Cloud AI.
- Experience with vector databases: Pinecone, Weaviate, ChromaDB.
- JavaScript / TypeScript for AI frontend integration.
- Experience with Git, Docker, Kubernetes.
- Knowledge of SQL / NoSQL databases for AI data management.
- Familiarity with MLOps tools and practices.
- API development and Postman for API testing.
Benefits
- Contract engagement approximately 3 months.
- Early shift availability preferred to accommodate collaboration with teams in India and the UK.
- Fully remote work model with a preference for candidates based in the Eastern region of the U.S.
Vacancy posted 7 hours ago
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