Senior GenAI & Contact Center Platform Engineer /// Fort Worth, Texas /// Longterm
vardhan
Prompt
Engineer
Fort Worth, Texas
Longterm Contract
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.