Description :

Job Title : Senior Prompt Engineer (Strong Python Coding)

Location : Hyderabad Onsite (5 Days)

Experience : 5+ Years (3+ in AI/LLMs)

Employment Type : Full-Time

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 :

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 Python

b. Async programming

c. Error handling & logging

d. Writing clean, testable code

3. 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. Accuracy

b. Faithfulness

c. Relevance

d. Latency

e. 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 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