
Software Engineer
2 days ago
Who are we?
HID powers the trusted identities of the world’s people, places, and things, allowing people to transact safely, work productively and travel freely.
We are a high-tech software company headquartered in Austin, TX, with over 4,500 worldwide employees. Check us out here: and this video.
As our Machine Learning Engineer, you’ll support HID’s success by:
- Designing and implementing machine learning pipelines and models, including LLM-based solutions
- Translating prototypes and research into production-grade code and deployable components
- Developing and fine-tuning foundation models and LLMs for specific use cases
- Training and optimizing numeric machine-learning models
- Applying prompt engineering and building agent-based architectures for complex task automation
- Integrating models into backend systems and supporting real-time/batch inference services
- Working with guardrails and observability tools to ensure safe and robust use of generative AI
- Staying up to date with advances in AI and emerging LLM ecosystems to bring innovative capabilities to the team
Your Experience and Background include:
- Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field
- 3+ years of experience building and deploying machine learning models in production
- Hands-on experience with LLM solution development and integration
- Solid understanding of modern LLM tools and frameworks such as:
- – LangChain, LangGraph, CrewAI, Autogen
- – Azure OpenAI Studio, Gemini Studio
- – LangSmith or equivalent observability/debugging platforms
- Proficiency with Python and ML libraries like PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers
- Deep understanding of agent architectures, prompt engineering, and LLM guardrails
- Experience with CI/CD practices, version control, testing, and model governance
- Comfortable working with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes)
- Bonus: Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) or orchestration tools (e.g., MLflow, Airflow)
What we can offer you:
- Competitive salary and rewards package
- Competitive benefits and annual leave offering, allowing for work-life balance
- A vibrant, welcoming & inclusive culture
- Extensive career development opportunities and resources to maximize your potential
- To be a part of a global organization pioneering the hardware, software, and services that allow people to confidently navigate the physical and digital worlds
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