What are the responsibilities and job description for the Senior Software Lead (Remote - US) position at Hexagon Asset Lifecycle Intelligence?
Responsibilities
Hexagon’s Asset Lifecycle division (Hexagon) is seeking a Senior AI Developer with deep expertise in Retrieval-Augmented Generation (RAG) systems and prompt engineering to drive the development of cutting-edge AI applications. The ideal candidate will have extensive experience designing, optimizing, and fine-tuning AI models, with a strong focus on developing RAG-based architectures. Additionally, they should be proficient in Python and skilled in fine-tuning large language models (LLMs), vector databases, and AI pipeline optimization.
Prompt Engineering & RAG Development
About Hexagon
Hexagon is a global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications.
Hexagon’s Asset Lifecycle Intelligence division helps clients design, construct, and operate more profitable, safe, and sustainable industrial facilities. We empower customers to unlock data, accelerate industrial project modernization and digital maturity, increase productivity, and move the sustainability needle.
Our technologies help produce actionable insights that enable better decision-making and intelligence across the asset lifecycle of industrial projects, leading to improvements in safety, quality, efficiency, and productivity, which contribute to Economic and Environmental Sustainability.
Hexagon (Nasdaq Stockholm: HEXA B) has approximately 25,000 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at hexagon.com and follow us @HexagonAB.
Why work for Hexagon?
At Hexagon, if you can see it, you can do it. Hexagon’s Asset Lifecyle Intelligence division puts their trust in you so that you can bring your ideas to life. We have emerged as one of the most engaged and enabled workplaces*. We are committed to creating an environment that is truly supportive by providing the resources you need to fully support your ambitions, no matter who you are or where you are in the world.
At Hexagon, we believe that diverse and inclusive teams are critical to the success of our people and our business. Everyone is welcome—as an inclusive workplace, we do not discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all.
Respect is the cornerstone of how we operate, so speak up and be yourself. You are valued here.
Hexagon’s Asset Lifecycle division (Hexagon) is seeking a Senior AI Developer with deep expertise in Retrieval-Augmented Generation (RAG) systems and prompt engineering to drive the development of cutting-edge AI applications. The ideal candidate will have extensive experience designing, optimizing, and fine-tuning AI models, with a strong focus on developing RAG-based architectures. Additionally, they should be proficient in Python and skilled in fine-tuning large language models (LLMs), vector databases, and AI pipeline optimization.
Prompt Engineering & RAG Development
- Design and optimize prompts for LLMs in RAG-based systems to enhance response accuracy and relevance.
- Implement prompt chaining, dynamic prompt creation, and context-aware prompting techniques.
- Analyze LLM outputs and iterate on prompt design for better performance.
- Fine-tune retrieval strategies and improve the integration of LLMs with vector databases (e.g., FAISS, ChromaDB, Pinecone).
- Develop and fine-tune LLMs, transformers, and other NLP models for custom AI applications.
- Train and optimize models using transfer learning, LoRA, PEFT, and other fine-tuning techniques.
- Implement data augmentation and preprocessing pipelines to improve training data quality.
- Work with Hugging Face models, OpenAI APIs, and other LLM frameworks to customize and deploy AI solutions.
- Design and implement scalable AI pipelines for real-world applications.
- Optimize model performance through quantization, pruning, and model distillation.
- Work with APIs, microservices, and cloud platforms (AWS, GCP, Azure) for AI deployment.
- Develop MLOps workflows for continuous model improvement and deployment.
- 5 years of experience in AI/ML development with a focus on RAG systems and LLM applications.
- Strong expertise in prompt engineering and LLM customization for high-quality AI outputs.
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
- Hands-on experience with Hugging Face Transformers, OpenAI APIs, LangChain, and LlamaIndex.
- Experience with fine-tuning LLMs using LoRA, PEFT, and full fine-tuning techniques.
- Deep understanding of vector databases (e.g., FAISS, Pinecone, Weaviate) and retrieval strategies.
- Knowledge of cloud-based AI deployments (AWS) and MLOps best practices.
- Strong understanding of NLP concepts, attention mechanisms, and self-supervised learning.
- Ability to collaborate with cross-functional teams.
- Experience with Open Source LLMs.
- Knowledge of graph-based retrieval and knowledge graphs for enhanced AI reasoning.
- Familiarity with LLM security best practices and adversarial prompt defense techniques.
- Contributions to open-source AI projects or research publications in NLP/LLMs.
About Hexagon
Hexagon is a global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications.
Hexagon’s Asset Lifecycle Intelligence division helps clients design, construct, and operate more profitable, safe, and sustainable industrial facilities. We empower customers to unlock data, accelerate industrial project modernization and digital maturity, increase productivity, and move the sustainability needle.
Our technologies help produce actionable insights that enable better decision-making and intelligence across the asset lifecycle of industrial projects, leading to improvements in safety, quality, efficiency, and productivity, which contribute to Economic and Environmental Sustainability.
Hexagon (Nasdaq Stockholm: HEXA B) has approximately 25,000 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at hexagon.com and follow us @HexagonAB.
Why work for Hexagon?
At Hexagon, if you can see it, you can do it. Hexagon’s Asset Lifecyle Intelligence division puts their trust in you so that you can bring your ideas to life. We have emerged as one of the most engaged and enabled workplaces*. We are committed to creating an environment that is truly supportive by providing the resources you need to fully support your ambitions, no matter who you are or where you are in the world.
- In the recently concluded workplace effectiveness survey by Korn Ferry, a global HR advisory firm, Hexagon, Asset Lifecycle Intelligence division has emerged as one of the most Engaged and Enabled workplaces, when compared to similar organizations that Korn Ferry partners with.
At Hexagon, we believe that diverse and inclusive teams are critical to the success of our people and our business. Everyone is welcome—as an inclusive workplace, we do not discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all.
Respect is the cornerstone of how we operate, so speak up and be yourself. You are valued here.
