Job Title: Executive - AI Engineer
Job Summary
You will spearhead development of cutting-edge enterprise RAG platforms and conversational AI agents using state-of-the-art frameworks and cloud technologies. This role drives innovation in scalable AI solutions that power next-generation business applications.
Duties and Responsibilities
Design and deploy advanced RAG pipelines with VectorDB integration for semantic search and retrieval at scale.
Build agentic conversational systems using LangGraph, LangChain, and OpenAI APIs.
Develop high-performance FastAPI backends with RBAC
Optimize LLM inference
Implement microservices architectures with containerization and cloud-native deployment.
Integrate GenAI capabilities via AWS Bedrock, SageMaker, and multimodal models.
Experiment with frontier techniques in hybrid search, multi-agent orchestration, and low-latency serving.
Qualifications and Requirements
Bachelor's degree in Computer Science, IT, or related field.
1+ years of hands-on AI engineering or building production AI products.
Proficiency in Python, PyTorch, FastAPI, and modern VectorDBs (e.g., pgvector, Milvus, etc).
Experience with agentic framework (Langgraph, Autogen, Langchain) and conversational AI
Experience working with MCP protocol
Strong skills in microservices design and comfortable with Linux.
Good to have
Familiarity with cloud native AI services
Experience optimizing LLM inference via LLoRA, PEFT, quantization and RLHF.
Performance Expectations
Deliver high-impact AI features on aggressive timelines.
Drive knowledge sharing through code, docs, and tech talks.
Stay ahead of AI trends to recommend and implement cutting-edge solutions.
Salary and Benefits
Competitive salary, commensurate with experience. Comprehensive benefits include health insurance, flexible PTO, and rapid career growth opportunities.
