Specialist, Application Developer

L3HHCM20•Melbourne, UT

10d•$69,000 - $146,500•Onsite

About The Position

This position is responsible for developing, implementing, and maintaining AI-powered applications and automation solutions that drive business value across the enterprise. This role combines application development expertise with data engineering and artificial intelligence capabilities to build intelligent systems that enhance operational efficiency and enable data-driven decision-making. The selected candidate will work closely with software application development, data engineering, IT, and business stakeholders to deliver secure, scalable, and business-relevant solutions.

Requirements

Bachelor’s Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.

Nice To Haves

Strong programming skills and experience with at least one modern programming language (Python, Java, C#, JavaScript, etc.)
Hands-on experience working with LLMs and generative AI APIs
Demonstrated experience building and deploying applications that integrate AI capabilities
Experience with software integration, REST APIs, and service-based architectures
Proficiency in data manipulation and analysis using pandas, SQL, and data warehousing concepts
Familiarity with version control (Git), automated builds, testing processes, and modern development workflows
Experience with Palantir Foundry platform for building data applications and workflows
Knowledge of agentic AI frameworks (LangChain, LangGraph, AutoGPT, CrewAI, etc.)
Experience with vector databases and RAG architecture
Familiarity with prompt engineering techniques and LLM fine-tuning approaches
Front-end development skills (React, Vue, or similar) for building AI application interfaces

Responsibilities

Design, develop, test, and maintain AI-powered applications and automation solutions using modern development frameworks and cloud platforms
Work within Palantir Foundry (or similar platforms) to build data-driven applications and analytical workflows
Support end-to-end software development activities, including requirements analysis, architecture, coding, integration, testing, and deployment
Build and integrate LLM-based applications leveraging generative AI technologies for business use cases
Develop agentic AI systems that can autonomously perform tasks, make decisions, and interact with multiple tools and APIs
Create and maintain data pipelines for AI model integration, feature engineering, and real-time inference
Implement AI solutions for classification, prediction, natural language processing, and computer vision applications
Build automation workflows that integrate AI capabilities with existing enterprise systems and business processes
Develop APIs, microservices, and supporting components to expose AI functionality to downstream applications and users
Perform model evaluation, validation, and performance analysis using appropriate technical metrics
Optimize application performance, scalability, and cost-efficiency of AI workloads
Ensure compliance with software development standards, cybersecurity requirements, data protection policies, and responsible AI practices
Collaborate with cross-functional teams to translate business and technical needs into effective solutions
Evaluate and integrate emerging AI technologies and frameworks to maintain competitive advantage
Prepare and maintain technical documentation, design artifacts, user guides, and test results
Troubleshoot and resolve issues in production AI systems, implementing monitoring and alerting solutions
Support lifecycle sustainment of deployed capabilities including defect resolution and performance improvements
Participate in agile development processes including sprint planning, daily standups, retrospectives, and technical reviews
Contribute to the development of reusable AI components and internal libraries
Contribute technical solutions within established architectures and development processes
Identify risks and recommend mitigation strategies
Stay current with the rapidly evolving AI landscape and share knowledge with the broader team