Strong proficiency in Python (FastAPI, Flask) and JavaScript/TypeScript (React, Next.js, Node.js).

2. Hands-on experience with LLM APIs (Anthropic, OpenAI) and agentic frameworks (LangChain, LangGraph).

3. Experience building and deploying REST APIs and microservices in production.

4. Working knowledge of vector databases (ChromaDB, Pinecone) and/or graph databases (Neo4j).

5. Familiarity with Docker, Linux, and cloud platforms (GCP, AWS, Azure).

6. Experience with PostgreSQL and basic DevOps practices (CI/CD, SSL, Nginx).

7. Strong ML/DL fundamentals, including model training, evaluation, and deployment lifecycle.

8. Comfortable working in a fast-paced startup environment.

Good-to-Have Skills:

1. Experience with Speech AI, including Whisper, Whisper.cpp, TTS engines, and real-time voice pipelines.

2. Experience with edge/offline AI deployment (Raspberry Pi, GGUF/ONNX, Ollama).

3. Knowledge of geospatial data processing (GeoJSON, QGIS, satellite imagery).

4. Familiarity with document generation libraries (python-docx, docx-js).

5. Experience with .NET/C# or e-commerce platform development.

6. Experience building agentic systems, including email orchestration, reconciliation automation, and multi-agent architectures.

7. Familiarity with LLM observability tools (Langfuse, Arize Phoenix).

8. Experience with 3D visualization (Three.js, Unity) for digital twin use cases.