Senior Backend Engineer (Python, AWS)

Job Title : Senior Prompt Engineer (Strong Python Coding)Location : Hyderabad Onsite (5 Days)Experience : 5+ Years (3+ in AI/LLMs)Employment Type : Full-TimeRole 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 : 1. 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.2. 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 : a. OOP in Pythonb. Async programmingc. Error handling & loggingd. Writing clean, testable code3. Guardrails & Validation : - Implement response validation layers.- Build automated moderation and safety filters.- Enforce schema validation before response delivery.- Create deterministic output pipelines.4. Evaluation Frameworks : - Build automated evaluation pipelines.- Define and measure : a. Accuracyb. Faithfulnessc. Relevanced. Latencye. Cost per request- Run A/B prompt testing.5. 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 optimizationWhat We Do NOT Want : - Candidates who only use ChatGPT- Pure frontend developers- Data scientists with no backend coding- Prompt writers without engineering backgroundPreferred : - Experience with healthcare/insurance AI systems- Multi-agent orchestration- MCP protocol exposure- Voice/real-time AI systems (ref:hirist.tech)