Prompt Engineer

#Prompt Job Title: Prompt Engineer   Location: 100% Remote Hire type: Contract Job Description: Design, develop, and deploy LLM-powered applications using Python Integrate and manage OpenAI APIs (GPT-4+, embeddings, function calling, assistants, fine-tuning) Create, test, and optimize prompt engineering strategies for accuracy, reliability, and cost-efficiency Build pipelines for retrieval-augmented generation (RAG) using vector databases (e.g., FAISS, Pinecone, Weaviate) Implement LLM evaluation, monitoring, and observability techniques (prompt versioning, output scoring, hallucination detection) Optimize latency, token usage, and cost for production LLM workloads Develop APIs, backend services, and microservices to support AI solutions Collaborate with product managers, data scientists, and stakeholders to translate business needs into AI-driven features Ensure AI solutions follow security, privacy, and responsible AI best practices Stay current with the latest developments in LLMs, prompt techniques, and AI tooling Required Qualifications Strong proficiency in Python (data structures, async programming, APIs) Hands-on experience with OpenAI APIs or comparable LLM providers (Azure OpenAI, Anthropic, Google) Practical experience with prompt engineering techniques (few-shot, chain-of-thought, system prompts, guardrails) Experience building production-ready applications using LLMs Familiarity with REST APIs, JSON, and backend frameworks (FastAPI, Flask, Django) Solid understanding of NLP concepts and LLM limitations Experience with version control systems (Git) Best Regards, Ayishika Deb Choudhury Email: [Upgrade to PRO to see contact]