Prompt Engineer

Position - Prompt Engineer

Job Description:

Years of Experience Required: 5 years Top 3 Mandatory Skills and Experience: Programming & Architecture Java Python GenAI & LLM Engineering Hands on development of GenAI / LLM powered applications Prompt engineering structured outputs tool/function calling Agentic frameworks (LangChain LangGraph LangSmith) Retrieval Augmented Generation (RAG) and vector search Vector databases & embeddings (Azure) LLM evaluation latency optimization cost management hallucination mitigation AI governance PII handling security and enterprise compliance Describe a great candidate that you are looking for and what skills and experience they will have: Ideal Candidate Profile Senior GenAI & Contact Center Platform Engineer We are seeking a highly skilled forward thinking engineer who brings deep expertise across GenAI cloud-native architecture and contact center platforms combined with the ability to thrive in a globally distributed high-performing team spanning Hyderabad and DFW. Technical Excellence This candidate demonstrates strong proficiency in Java Python and TypeScript with a solid foundation in object-oriented design SOLID principles and clean architecture. They have a proven track record designing and building scalable distributed event-driven systems that operate reliably in cloud-native environments. They are hands-on with backend development (Spring Boot FastAPI) and experienced in building robust APIs (REST/GraphQL) and event-driven integrations using Kafka. Their data layer experience spans relational and NoSQL systems including PostgreSQL MongoDB Redis and CosmosDB. GenAI & LLM Engineering Leadership The ideal candidate has deep practical experience delivering LLM-powered applications at scale including: Designing RAG-based architectures with vector search (Azure AI Search OpenSearch Pinecone FAISS) Building agentic workflows using frameworks like LangChain LangGraph and LangSmith Implementing structured outputs tool/function calling and prompt engineering best practices Optimizing latency cost and response quality with strong focus on hallucination mitigation and evaluation frameworks They bring a strong understanding of AI governance including PII handling security controls and enterprise compliance requirements ensuring production-ready responsible AI solutions. Contact Center & Conversational Expertise The candidate has hands-on experience modernizing contact center ecosystems including: Integration with platforms such as Amazon Connect Twilio Azure Communication Services Genesys or NICE Designing real-time voice and chat solutions including IVR call routing and speech services Enabling omnichannel customer journeys across voice chat SMS and mobile Managing conversation context session state and transcript lifecycle They understand the operational realities of contact centers and build solutions that improve customer experience agent productivity and automation effectiveness. Cloud DevOps & Reliability Mindset They are highly proficient in AWS and Azure ecosystems with experience in: Containerization (Docker) and orchestration (Kubernetes) Infrastructure as Code (Terraform Bicep ARM) CI/CD automation (GitHub Actions Azure DevOps) Designing for high availability resiliency and disaster recovery They implement end-to-end observability using OpenTelemetry and modern logging/tracing tools to ensure reliability in production environments. Engineering Quality & AI Testing The candidate champions quality through: Strong use of automated testing frameworks (JUnit PyTest Cypress Playwright) Designing test strategies for deterministic and non-deterministic (AI) systems Establishing measurable benchmarks for LLM performance and system reliability Ways of Working & Global Collaboration This individual thrives in a product-centric outcome-driven environment operating effectively within Agile (Scrum/Kanban) teams. They bring: Strong communication skills across time zones (HYD DFW) ensuring clarity alignment and momentum A collaborative mindset partnering across engineering product and business stakeholders Cultural awareness and adaptability enabling seamless engagement across diverse distributed teams What Sets Them Apart Ability to bridge traditional backend engineering with cutting-edge GenAI innovation Experience delivering enterprise-scale conversational platforms Proven success working across global teams with shared ownership and accountability A mindset focused not just on building systems but on driving measurable customer and business outcomes What is the team environment and structure like: Highly Technical Highly collaborative Accelerated. Fold into an existing squad 6 engineers delivering high value business outcomes.