Intellectt Inc
Website:
intellectt.com
Job details:
Job Title: Prompt Engineer (Strong Python Coding)
Location: Remote
Shift Timings: 2-11PM
Experience: 4+ Years (2+ in AI/LLMs)
Role Summary:
We are hiring a highly technical Prompt Engineer with strong Python backend expertise. This is not a content-writing role. This role requires deep understanding of LLM behavior, prompt optimization, guardrails, structured outputs, evaluation pipelines, and production-grade AI system design. If you cannot write scalable Python code, this is not the role.
Core Responsibilities:
Advanced Prompt Engineering:
· Design multi-step, system-level prompts.
· Build structured output prompts with strict JSON schema enforcement.
· Implement few-shot, chain-of-thought, self-consistency, tool-calling patterns.
· Reduce hallucinations using grounding strategies.
· Optimize token usage and latency.
Strong Python Development (Mandatory):
· Build AI microservices using FastAPI / Flask.
· Implement streaming responses and async pipelines.
· Write modular, production-grade Python code.
· Handle retries, fallbacks, rate limiting, caching.
· Integrate LLM APIs (OpenAI, Claude, Gemini, Bedrock).
Must be comfortable with:
· OOP in Python
· Async programming
· Error handling & logging
· Writing clean, testable code
Guardrails & Validation:
· Implement response validation layers.
· Build automated moderation and safety filters.
· Enforce schema validation before response delivery.
· Create deterministic output pipelines.
Evaluation Frameworks:
· Build automated evaluation pipelines.
· Define and measure:
· Accuracy
· Faithfulness
· Relevance
· Latency
· Cost per request
· Run A/B prompt testing.
RAG & Tool Integration:
· Implement Retrieval-Augmented Generation pipelines.
· Work with vector databases (FAISS, Pinecone, Weaviate).
· Build tool/function calling integrations.
· Design multi-agent workflows (LangChain / LangGraph).
Required Technical Skills:
· Expert-level Python
· LLM API integration
· JSON schema design
· Prompt debugging & optimization
· FastAPI / REST APIs
· Git & version control
· Cloud exposure (AWS / Azure / GCP)
Must-Have Experience:
· Building LLM systems in production
· Structured output enforcement
· Handling hallucination mitigation
· Working with evaluation frameworks
· Performance optimization
What We Do NOT Want:
· Candidates who only “use ChatGPT”
· Pure frontend developers
· Data scientists with no backend coding
· Prompt writers without engineering background
Preferred:
· Experience with healthcare/insurance AI systems
· Multi-agent orchestration
· MCP protocol exposure
· Voice/real-time AI systems
Click on Apply to know more.