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Veridian Tech Solutions, Inc.

Data Scientist

Veridian Tech Solutions, Inc.
United States · Full-time · Mid-Senior
Role: Data Scientist

Locations: Richardson, TX / Austin, TX / Houston, TX / Tempe, AZ / Phoenix, AZ / Denver, CO / Charlotte, NC / Raleigh, NC / Alpharetta, GA / Tampa, FL / Palm Beach , FL / Sunnyvale, CA / Hartford, CT / New York, NY / Bridgewater, NJ / Washington, VA

Type of Hiring: FTE

Job Description

Client seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment.

Required Qualifications

  • Bachelor’s degree in Computer Science, AI/ML, or related field.
  • 5–8 years of experience in software engineering or data science, with 2–3 years in Gen AI or LLM-based systems.
  • Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
  • Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).
  • Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP).
  • Experience with REST API development (FastAPI, Flask) and containerization (Docker).
  • Solid understanding of AI governance, model safety, and prompt engineering.

Key Responsibilities

  • Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI).
  • Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT.
  • Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search.
  • Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
  • Work with unstructured data (PDFs, HTML, audio, images) and multimodal models.
  • Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking.
  • Evaluate model performance using tools like RAGAS, DeepEval, and FMeval.
  • Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions.
  • Mentor junior engineers and contribute to code reviews, design discussions, and best practices.

Preferred Data Scientist Qualifications

  • Exposure to agentic workflows and autonomous agents.
  • Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform).
  • Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs.
  • Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems.
  • Experience with multimodal models and perception systems (e.g., vision + language).

Key Skills

Ranked by relevance

ai cloud aws containerization typescript angular jenkins graphql fastapi python devops react flask cicd gcp ux
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United States

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Posted
Aug 25, 2025
Type
Full-time
Level
Mid-Senior
Location
Richardson
Company
Veridian Tech Solutions, Inc.

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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