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AI Dev Lead– LLM & Applied AI Solutions

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: AIS InfoSource
Full Time position
Listed on 2026-08-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

AI Dev Lead – LLM & Applied AI Solutions EXPERIENCE

REQUIRED:

2+ Years NUMBER OF POSITIONS: 7 DEPARTMENT:
Information Systems

REPORTS TO:

IS Head

LOCATION:

Dallas Fort Worth, USA & Vadodra or Gurugram, India ROLE OVERVIEW:

We are seeking an experienced AI dev lead who has a strong foundation in modern AI technologies and hands-on experience wrapping and deploying LLMs for real-world applications. The ideal candidate understands both AI product architecture and software engineering, with the ability to design, integrate, and optimize intelligent systems using APIs, vector databases, and enterprise data pipelines.

This individual will collaborate with project managers, solution architects, and developers to build and maintain scalable AI-enabled web applications, while also managing the infrastructure and data layers that make these tools reliable and secure.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Design, build, and deploy solutions that wrap large language models (OpenAI, Anthropic, Claude, Gemini, etc.) for practical business use cases.
  • Implement and optimize retrieval-augmented generation (RAG) frameworks using vector databases (e.g., Quadrant, Pinecone, FAISS, Chroma, Milvus).
  • Build robust API integrations between AI providers, internal systems, and user interfaces.
  • Structure and maintain SQL or No

    SQL databases to support knowledge retrieval, model context, and user interaction histories.
  • Collaborate with front-end engineers to design user-friendly interfaces for AI chatbots, dashboards, and knowledge assistants.
  • Conduct prompt engineering, performance evaluation, and continuous tuning of model responses to improve accuracy and reliability.
  • Manage corpus ingestion, vectorization, and updating of proprietary datasets feeding the AI tools.
  • Ensure compliance with data governance, security, and privacy best practices related to AI and sensitive data.
  • Document architectural decisions, workflows, and model performance. Support agile sprints and cross-team communication.
SUPERVISORY RESPONSIBILITIES:

This position does not have supervisory responsibilities.

SKILLS:
  • 2-3 years of professional experience in AI development, with at least one end-to-end deployed LLM or AI product.
  • Strong programming background in Python (preferred) or C#.
  • Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc.).
  • Solid understanding of RAG architecture and vector database design.
  • Experience with RESTful API development and integration.
  • Proficiency in SQL (T-SQL, PostgreSQL, MySQL) and general database design.
  • Familiarity with Lang Chain, Llama Index, or similar AI orchestration frameworks.
  • Working knowledge of cloud platforms (Azure, AWS, or GCP) for hosting AI workloads.
  • Understanding of Docker, Kubernetes, or similar container orchestration tools.
  • Experience integrating AI with web front ends (React, Next.js, or Streamlit preferred).
  • Knowledge of embedding models, prompt engineering, and token optimization.
  • Exposure to data transformation pipelines and ETL tools.
  • AI/ML certification from a recognized institution (Microsoft, Google, Coursera, etc.).
  • Experience working with Git, CI/CD pipelines, and Dev Ops environments.
QUALIFICATIONS:
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Engineering, or related field
LANGUAGE

SKILLS:

Ability to read, analyze and interpret the most complex documents. Ability to respond effectively to the most sensitive inquiries or complaints. Ability to write emails, speeches and articles using original or innovative techniques or style. Ability to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public groups and clients.

REASONING ABILITY:

Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

CERTIFICATES, LICENSES, REGISTRATION:

Master’s degree in Computer Science, Artificial Intelligence, Data Engineering, or related field

WORK ENVIRONMENT:

The work environment characteristics described here are representative of those an…

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