Highlights
Demonstrated experience building RAG systems: embeddings, vector stores (e.g., FAISS, pgvector, Pinecone, Chroma), and retrieval quality tuning. Working knowledge of SQL and cloud data platforms (Snowflake, Databricks, or equivalent), and comfort writing queries against enterprise schemas.
Numbers & Facts
| Location | AUSTIN, TX |
| Job Type | Temporary, Contractor, Full-time |
| Industry | Computer/IT Services |
| Salary | $82.20–$88.07 Per Hour |
| Company Size | 1 to 9 employees |
| Year Founded | 2016 |
| Website | https://www.shglobalsolutions.com |
Description
Title: Software Development Engineer 3
Client: AMD
Duration: 12 Months
Location: Austin, TX
Required Qualifications
Preferred Qualifications
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 GCP).
- 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.
About Company
SH Global Solutions is a certified Service Disabled Veteran Owned Small Business (SDVOSB) headquartered in Maryland. Established in 2016 to modernize commercial and government technology to mitigate cybersecurity threats and to secure data centers from increasingly more frequent cyber attacks, we specialize in providing Information Technology (IT) solutions and services to government and commercial organizations. Our core areas of core expertise are focused in:
● Datacenter consolidation/optimization - this includes designing, procuring, and installing turnkey secure, modern infrastructure solutions including scalable and modular systems
● Professional program and project management services for large and complex projects
● In-building wireless solutions to enable 5G technology and connect to the growing Internet of Things (IoT)
Our team is comprised of highly skilled and dedicated professionals, uniquely qualified in cutting-edge technology, and engineering, and in the rapid deployment and implementation of new technologies. Our CEO is a retired United States Air Force Colonel and entrepreneur with over 25 years supporting the DOD, US Government agencies, and NATO worldwide.