Prompt Engineer

Role: Prompt EngineerExperience: 2+ YearsEmployment Type: ContractAbout the RoleWe are looking for a Prompt Engineer to join our AI team and build reliable, production-grade experiences powered by Large Language Models (LLMs).You will design and optimize prompts, build and evaluate AI agents, improve RAG and tool-calling workflows, and develop evaluation frameworks that ensure AI systems are accurate, safe, consistent, and production-ready.This is a hands-on engineering role for someone who understands both prompt engineering and the underlying GenAI/LLM application stack.What You'll DoDesign, test, and optimize prompts for LLM applications and AI agents.Build system prompts, guardrails, evaluation prompts, and reusable prompt templates.Develop and evaluate AI agents using RAG, tool calling, memory, and multi-agent workflows.Create synthetic datasets and evaluation benchmarks for LLM applications.Build automated evaluation pipelines to measure accuracy, quality, latency, reliability, and safety.Analyze LLM and agent failures and continuously improve system behavior.Work with AI engineers to integrate prompts and agent workflows into production APIs.Translate product and business requirements into precise AI behaviors.Implement techniques for hallucination reduction, prompt-injection protection, and secure agent design.Work with structured outputs, function calling, and JSON Schema.Experiment with MCP, AI gateways, model routing, and different LLM inference approaches.Document prompt strategies, evaluation methodologies, and AI engineering best practices.What We're Looking For2+ years of hands-on experience with LLMs and Generative AI in production.Strong expertise in Prompt Engineering across reasoning, extraction, summarization, classification, and agentic workflows.Strong experience building AI agents with RAG, tool calling, and memory.Hands-on experience with LangChain, LangGraph, LlamaIndex, or equivalent frameworks.Experience with synthetic data generation and LLM evaluation.Strong understanding of hallucination mitigation, AI safety, guardrails, and prompt injection risks.Experience with structured outputs and JSON Schema.Strong Python programming skills and ability to work with AI/ML APIs.Experience with evaluation and observability platforms such as LangSmith, DeepEval, Ragas, or similar.Understanding of MCP, AI gateways, and model routing.Understanding of cloud vs. local LLM inference, including latency, scalability, security, and cost considerations.Strong communication and collaboration skills with product and engineering teams.Nice to HaveExperience with OpenAI, Anthropic, Gemini, Llama, Mistral, or similar models.Experience with vector databases and embedding models.Experience building production-grade GenAI APIs.Experience with multi-agent architectures and agent orchestration.Experience in financial services, trading, Forex, or other regulated environments.