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Perficient

Global digital consultancy delivering IT solutions

AI/LLM Java Lead Technical Consultant

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeIndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of software development experience.
  • Strong background in AI/LLM-based application development.
  • Experience developing backend services using Java and Spring Boot.
  • Strong experience in generative AI and LLM integrations.
  • Hands-on experience with OpenAI, Anthropic, Gemini, prompt engineering, and fine-tuning.
  • Experience with agent frameworks such as LangChain, LangGraph, AutoGen, or CrewAI.
  • Strong coding skills in Java and Spring Boot.
  • Good experience with Python.
  • Database experience with Oracle.
  • Experience building microservices and enterprise applications.
  • Knowledge of Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
  • Good understanding of system security, resiliency, and enterprise architecture.

Responsibilities

  • Participate in all aspects of the software development lifecycle, including estimating, technical design, implementation, documentation, testing, deployment, and support of client applications.
  • Work with solution architects and developers to interpret and translate wireframes and creative designs into functional requirements and then into technical design.

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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