GEN AI Developer

Job Requirements

• GenAI Application Development: Build and integrate LLM-powered features using commercial and open-source APIs (e.g., OpenAI, Anthropic Claude, Google Gemini, or Llama).
• RAG & Search Pipelines: Assist in building and optimizing Retrieval-Augmented Generation (RAG) architectures, document chunking strategies, vector searches, and embeddings.
• Prompt & Context Engineering: Write, test, and refine system prompts, structured outputs, and in-context learning frameworks to improve response accuracy.
• Prototyping & Testing: Rapidly build proof-of-concept (POC) applications, run evaluation tests, and check model outputs against reference sources to minimize hallucinations.
• Software Integration & APIs: Write clean, modular Python code to connect AI models with backend services, REST APIs (FastAPI/Flask), and databases (SQL/Vector DBs).
• Collaboration & Maintenance: Participate in code reviews, maintain documentation via Git/GitHub, and help monitor service reliability and basic guardrails under senior mentorship.

Work Experience

2-5Years