AI Application Engineer
Job Description
About the Role:
As an AI Application Engineer at Rearc, you will help design, build, and deploy production-ready AI and GenAI solutions. You’ll work closely with cross-functional teams to deliver intelligent systems that align with business goals and customer needs.
What You’ll Do:
- Design, build, and deploy GenAI and ML-powered applications
- Develop LLM-based systems using modern orchestration frameworks (e.g., LangGraph)
- Implement RAG (Retrieval Augmented Generation) solutions
- Integrate LLMs with tools, APIs, and knowledge bases
- Evaluate AI models using human-in-the-loop and LLM evaluation methods
- Work with cloud services (AWS / Databricks) to deploy scalable AI systems
- Collaborate with teams to translate business problems into AI solutions
- Stay updated with the latest AI tools, frameworks, and best practices
- Share knowledge through internal talks, blogs, and documentation
What You Bring:
- 2+ years experience in AI Engineering / ML / GenAI
- Strong understanding of LLMs, text generation, and foundation models
- Experience with prompt engineering, fine-tuning, and model adaptation
- Hands-on experience with RAG architectures
- Knowledge of vector databases (OpenSearch, Pinecone, pgvector, etc.)
- Experience with AI orchestration tools (LangGraph, CrewAI, Bedrock Agents, etc.)
- Strong Python programming skills
- Familiarity with CI/CD, MLOps, and model deployment
- Experience using Amazon Bedrock or Databricks AI is a plus
Nice to Have:
- Containerization and orchestration (Docker, Kubernetes)
- Cloud security best practices
- Experience with MCP servers
- ML or LLM model training / fine-tuning experience
Why Rearc:
- Engineer-first culture with high ownership and freedom
- Learn and experiment with cutting-edge AI tools
- No bureaucracy, strong collaboration, and continuous learning
- Inclusive and diverse workplace
Industry: IT Services & Consulting
Employment Type: Full Time, Permanent
Education: Any Graduate / Postgraduate