AI Engineer

Job Description:

Skillsets Required:

Core Programming:

Python Intermediate/Advanced - async programming

API Development - FastAPI

Writing production-grade, scalable code

Testing (unit, integration)

Debugging complex distributed system

LLM Fundamentals

Prompt Engineering

Tokenization, context windows

Model selection

Handling hallucinations and grounding responses

Retrieval-Augmented generation (RAG)

Document Ingestion and preprocessing

Chunking Strategies (semantic, recursive, sliding window)

Embeddings

Vector database - pgvector

Hybrid search (keyword (BM25) + semantic)

Re-ranking and relevance tuning

Agentic Frameworks and Orchestration

Multi-agent coordination

Memory Management

Workflow orchestration

Evaluation and Observability

LLM Evaluation metrics (accuracy, faithfulness and relevance)

Prompt/version tracking

Logging and Tracking

Human in the loop (HITL) feedback loops

Deployment and MLOps

Containerization (Docker)

CI/CD pipelines

Monitoring