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Perficient

Global digital consultancy delivering IT solutions

Lead AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeDallas, TX, USA$133.6k - $170.6k

About the Job

Requirements

  • At least 3 years of experience in AI/ML engineering, software engineering, or solution architecture, including at least 1 year focused on Generative AI, LLMs, or conversational AI.
  • Strong hands-on experience with Python, FastAPI, Google Cloud Platform (GCP), and Google ADK.
  • Experience designing and implementing enterprise chatbots and agentic AI solutions.
  • Deep expertise in RAG architectures, knowledge bases, embeddings, and vector databases.
  • Strong understanding of retrieval techniques, including hybrid search, semantic search, and BM25.
  • Experience building multi-agent and agent orchestration workflows using frameworks such as Google ADK, LangGraph, Copilot Studio, or similar.
  • Knowledge of AI evaluation methodologies (Evals), including techniques for measuring accuracy, grounding, hallucination rates, and response quality.
  • Familiarity with API design, integration patterns, observability, resiliency mechanisms, and circuit-breaker patterns.
  • Experience with prompt engineering and meta prompting.
  • Experience with approaches to fine-tuning or reinforcement learning.
  • Understanding of agent memory usage.
  • Experience with vector databases.
  • Ability to work across engineering, product, and business teams.

Responsibilities

  • Design, develop, and deploy scalable Generative AI and chatbot solutions for production environments, ensuring security, performance, and reliability.
  • Build Python-based APIs and agentic workflows using Google ADK, FastAPI, LangGraph, Copilot Studio, or similar frameworks.
  • Implement and optimize RAG architectures, vector databases, and knowledge retrieval systems to improve chatbot accuracy and reduce hallucinations.
  • Develop and maintain backend services that expose AI capabilities through secure, scalable APIs.
  • Design agentic AI patterns such as supervisor/orchestrator, fan-in/fan-out, retrieval, research, and evaluation workflows.
  • Establish observability, monitoring, and evaluation frameworks to measure chatbot performance, response quality, and business outcomes.
  • Evaluate emerging AI models, tools, and platforms and recommend best practices for enterprise adoption.
  • Collaborate with product, engineering, and business stakeholders in a spec-driven development environment.

Desired Qualifications

  • Experience in healthcare, patient engagement, or regulated industry environments.
  • Experience with production monitoring and continuous improvement of conversational AI systems using real-world interaction data.

About the Company

Perficient

Global digital consultancy delivering IT solutions

Perficient is a global digital consultancy that provides IT and business consulting services to large enterprises. It helps organizations design and deliver IT and digital solutions, with services spanning business analysis, portal development, and AI-powered digital initiatives. Its offerings are carried out through a global delivery network across the United States, Latin America, India, and Europe, combining strategists and technologists to execute projects from strategy through implementation. The company differentiates itself by leveraging a broad, multinational delivery footprint and pursuing strategic acquisitions to expand its capabilities and market reach, enabling it to serve Forbes Global 2000 and other large enterprise clients across multiple industries. The goal is to help enterprises transform digitally, using data analytics, cloud computing, and AI to achieve measurable business outcomes and improved performance.

Company size
1,001-5,000
Company stage
IPO
Headquarters
St. Louis, MO
Founded
1998

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