TPI Global (formerly Tech Providers, Inc.)
TPI Global (formerly Tech Providers, Inc.)

Urgent Need_Software Development Engineer 3_Austin, TX

Austin, TX, US • Posted 6 hours ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Software Development
  • Data Engineering
  • Generative Artificial Intelligence (AI)
  • Python
  • Testing
  • API
  • LangChain
  • LlamaIndex
  • Semantics
  • Prompt Engineering
  • Management
  • SQL
  • Snow Flake Schema
  • Databricks
  • Writing
  • Docker
  • Shipping
  • Continuous Integration
  • Continuous Delivery
  • Cloud Computing
  • Microsoft Azure
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Machine Learning (ML)
  • PyTorch
  • TensorFlow
  • Communication
  • Microsoft Certified Professional
  • Servers
  • Evaluation
  • LangSmith
  • Workflow
  • Orchestration
  • Analytics
  • Semiconductors
  • Computer Hardware
  • Manufacturing
  • Artificial Intelligence

Summary

Job Description

Title: Software Development Engineer 3
Client: AMD
Duration: 12 Months
Location: Austin, TX

Required Qualifications
  • 3-5 years of professional software, ML, or data engineering experience, including at least 1 year building LLM-based or GenAI applications.
  • Strong Python engineering skills -not just notebooks. Production code, testing, packaging, async patterns, and API development with FastAPI or similar.
  • Hands-on experience with at least one LLM orchestration framework (LangChain, LangGraph, LlamaIndex, Semantic Kernel, or an equivalent) in a shipped application.
  • Demonstrated experience building RAG systems: embeddings, vector stores (e.G., FAISS, pgvector, Pinecone, Chroma), and retrieval quality tuning.
  • Practical command of prompt engineering, structured output, function/tool calling, and context-window management.
  • Working knowledge of SQL and cloud data platforms (Snowflake, Databricks, or equivalent), and comfort writing queries against enterprise schemas.
  • Experience containerizing and deploying services with Docker and shipping through CI/CD on a major cloud (Azure, AWS, or Google Cloud Platform).
  • Solid grounding in ML fundamentals and familiarity with PyTorch, TensorFlow, or HuggingFace Transformers.
  • Clear written and verbal communication, and the judgment to escalate when a problem is under-specified rather than guessing.

Preferred Qualifications
  • Experience building or consuming Model Context Protocol (MCP) servers, or comparable agent tool-integration layers.
  • Production experience with multi-agent or agentic workflow systems, including human-in-the-loop checkpoints and approval gates.
  • Familiarity with LLM observability and evaluation tooling such as LangSmith, Langfuse, Weights & Biases, or MLflow.
  • Experience with workflow orchestration tools -Airflow, Dagster, Prefect -or analytics engineering with DBT.
  • Exposure to model fine-tuning or parameter-efficient adaptation (LoRA/PEFT) and knowing when it is -and is not -the right answer.
  • Background in a technical engineering domain (semiconductor, hardware validation, manufacturing, or similar) where agents operate over specialized data.
  • Experience with AI governance, responsible-AI review, or enterprise security requirements for LLM deployments.

Meet Your Recruiter

Sudheer Paswan
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10375359
  • Position Id: d29240a5371867f3124a09f0f6983b66
  • Posted 6 hours ago
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