AI Dev Lead– LLM & Applied AI Solutions

AIS InfoSource; Dallas (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

AIS InfoSource, a Texas‑based fintech firm, seeks an AI Dev Lead to design and deploy AI solutions wrapping LLMs for real‑world business use. You will architect AI products, integrate with enterprise data pipelines, and ensure scalable, secure deployments across cloud environments.

Responsibilities include building AI‑driven web applications, integrating with APIs, and improving model performance through prompt engineering and data governance practices.

Qualifications

• 2+ years of AI development experience with deployed LLMs.
• Strong software engineering background and API integration skills.
• Experience with vector databases and AI workflows.

Responsibilities

• Wrap large language models for real‑world business use cases.
• Implement retrieval augmented generation with vector databases.
• Build and maintain API integrations between AI providers and systems.
• Structure SQL/NoSQL databases for knowledge retrieval and history.
• Collaborate with frontend engineers for AI chatbots and dashboards.
• Perform prompt engineering, evaluation, and tuning for reliability.
• Manage corpus ingestion and vectorization for proprietary data.
• Ensure data governance, security, and privacy in AI workloads.
• Document architecture decisions and support agile sprints.

Skills

AI development

Python

LLM APIs

RAG architecture

REST APIs

SQL databases

LangChain

Cloud platforms

Docker/Kubernetes

Web front ends

Embedding models

ETL pipelines

AI/ML certification

Git CI/CD

Education

Bachelor’s or Master’s degree in CS/AI/Data Eng

Tools

OpenAI API

Azure OpenAI

Hugging Face

RESTful APIs

Docker

Kubernetes

Job description

AI Dev Lead – LLM & Applied AI Solutions

EXPERIENCE REQUIRED: 2+ Years

NUMBER OF POSITIONS: 07

DEPARTMENT: Information Systems

REPORTS TO: Department Head

LOCATION: Dallas Fort Worth, TX & Vadodara/Gurugram, IN

OVERVIEW

AIS is seeking to hire 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 NoSQL 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

SKILLS

• 2-3 years of professional experience in AI development, with at least one end‑to‑end deployed LLM or AI products
• 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 LangChain, LlamaIndex, 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 DevOps environments

QUALIFICATIONS

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

DISCLAIMER

The information in this job description is designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this position and may be changed at the company’s discretion to conform to business needs.

ABOUT THE COMPANY

AIS is a Texas‑based fintech firm committed to lowering operating costs, improving quality and reducing cycle time with back‑office automation, highly skilled talent and standardized reporting and analytics solutions. AIS manages the day‑to‑day work so our clients can focus on growing their business. We review client processes, eliminate non‑value adds, and enhance productivity. We build financial and legal technology to automate and optimize workforce performance. We recruit, train, and manage specialized human resources to meet staff augmentation needs. We equip decision makers with deep data sets and forward‑thinking analytics so they can make smarter business decisions and create better customer experiences. We serve a variety of industries including banking, automotive finance, credit card, mortgage, insurance and telecommunications.