AI Application Engineer
Job Description
Rearc is looking for an experienced AI Application Engineer to build, deploy, and operationalize next-generation AI and GenAI systems. You’ll work with cutting-edge tools, collaborate with global teams, and deliver production-ready AI applications that are scalable, secure, and impactful.
🔧 What You’ll Do
- Design & deploy GenAI and LLM-powered applications
- Build LLMOps workflows focusing on reliability & performance
- Implement RAG architectures, vector search, tool-calling, and AI agents
- Collaborate closely with technical & business teams
- Integrate AI solutions with cloud services like AWS, Bedrock, Databricks
- Stay updated with modern AI frameworks and contribute to internal knowledge sharing
- Promote AI best practices through articles, talks, and internal sessions
🎯 What You Bring
- 2+ years in AI engineering, ML, or related fields
- Strong understanding of LLMs, Generative AI, text generation, NLP
- Experience with AI orchestration tools (LangGraph, CrewAI, smolagents, Bedrock Agents, etc.)
- Experience in fine-tuning, prompt engineering, and model evaluation
- Hands-on experience with RAG pipelines & vector stores (Pinecone, Opensearch, pgvector, etc.)
- Knowledge of ETL patterns and data ingestion
- Strong skills in Python, AI application development & integration
- Familiarity with CI/CD, MLOps, cloud platforms, and containerization (nice to have)
🧰 Bonus Skills (Nice-to-Have)
- Docker / Kubernetes
- Cloud security best practices
- MCP server development
- Training or fine-tuning ML/LLM models
🎓 Education
UG: Any Graduate
PG: Any Postgraduate
⭐ Key Skills
Python | AI Engineering | GenAI | LLMOps | Leadership | Application Development | RAG | Vector Databases | AWS | Databricks | LangGraph | NLP