The Role
Build and lead production AI software solutions using large language models, RAG, vector search, embeddings, and enterprise data integrations. Define technical direction, design cloud architectures on Azure, develop evaluation and monitoring systems, manage cost and security, and support deployed solutions. Collaborate with business, enterprise applications, quality, and regulatory stakeholders to deliver auditable tools that address organizational needs.
Summary Generated by Built In
The Lead Software Engineer will build software solutions that address key business needs across Advita’s global organization using large language models and AI principles. This role will collaborate with functional teams to define business requirements, identify appropriate opportunities for enhanced tools and AI, and design, build, and deploy solutions.
The role is responsible for setting technical direction, writing production code, and supporting solutions after they go live.
The role is responsible for setting technical direction, writing production code, and supporting solutions after they go live.
Key Responsibilities
- Collaborate with functional teams across any area of the business to understand their requirements, define the problem to be solved, and co-develop the solution.
- Assess where a large language model is the right tool and where conventional software or a data solution serves the business better.
- Design and build retrieval-augmented generation (RAG) solutions, including embedding, vector search, and orchestration, and select the models and services behind them.
- Build evaluation and monitoring that gates each release and tracks quality and cost once solutions are in service.
- Design for auditability, working with quality and regulatory stakeholders so that solutions hold up under inspection.
- Build the integrations and data pipelines that these solutions depend upon, working against enterprise systems of record.
- Own cloud architecture, cost management, security, and access control on Azure.
- Partner with the enterprise applications team so that these solutions reach the people who need them.
Skills Knowledge and Expertise
Education:
- Bachelor's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience.
Experience:
- 5+ years building and shipping production software.
- Experience delivering production applications built on large language models, including retrieval-augmented generation (RAG), prompt and context design, and evaluation.
- Experience integrating with enterprise systems of record and working with the data they hold.
- Experience building and deploying machine learning models on proprietary data. Preferred.
- Experience in a regulated industry such as medical device or life sciences. Preferred.
- Experience with document-heavy and unstructured data problems, including extraction, classification, and coding. Preferred.
Functional/Technical Knowledge, Skills and Abilities Required:
- Python, Node.js, and TypeScript.
- Hands-on experience with vector databases and embedding models.
- Hands-on experience on Azure, including Azure AI Foundry, along with data services, compute, identity, and networking.
- Judgment about when a large language model is the right solution and when it is not.
- Cost consciousness — weighing model, token, and infrastructure cost as part of the design, and keeping it under control once a solution is running.
- Written and verbal communication skills – ability to present potential solutions, pros and cons to senior stakeholders.
- Collaborative mindset with ability to work directly with stakeholders across the business.
- Able to run several efforts at once without dropping quality.
- Project management: scoping, sequencing, estimating, and reporting progress against commitments.
About
At Advita Ortho, everything we do is focused on innovation. Whether creating revolutionary ways to optimize the surgical experience, developing the latest in orthopedic implants and instruments, or using cutting-edge technology to improve efficacy and outcomes. These advancements transform the very experience of mobility and allow you to lead your patients to greater freedom. It’s innovation in every step, every moment, every move.
Skills Required
- Bachelor's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience
- 5+ years building and shipping production software
- Experience delivering production applications using large language models, including RAG, prompt and context design, and evaluation
- Experience integrating with enterprise systems of record and working with their data
- Proficiency in Python, Node.js, and TypeScript
- Hands-on experience with vector databases and embedding models
- Hands-on Azure experience, including Azure AI Foundry, data services, compute, identity, and networking
- Ability to determine when large language models are appropriate versus conventional software or data solutions
- Written and verbal communication skills for presenting solutions to senior stakeholders
- Ability to collaborate directly with stakeholders across the business
- Ability to manage several efforts simultaneously while maintaining quality
- Project management skills including scoping, sequencing, estimating, and progress reporting
- Experience building and deploying machine learning models on proprietary data
- Experience in a regulated industry such as medical device or life sciences
- Experience with document-heavy and unstructured data problems, including extraction, classification, and coding
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The Company
What We Do
Advita Ortho is a global medical-device company focused on high-quality orthopedic implants and integrated surgical technologies. Its solutions use data, artificial intelligence, and machine learning to support surgeons and improve patient outcomes. The company’s mission is to empower surgeons with transformative orthopedic innovations that help patients regain mobility, live healthier and more active lives, and improve quality of life worldwide.
