• Design and implement AI/GenAI features across applications and SDLC workflows • Build AI solutions using platforms like Azure AI Foundry and LLM APIs • Develop agent-based workflows using frameworks such as LangChain, LangGraph, or Semantic Kernel • Implement RAG-based solutions and prompt engineering strategies • Leverage GitHub Copilot for AI-assisted development and productivity • Build full-stack applications using Python, JavaScript/TypeScript, and/or C# (.NET) • Develop APIs, backend services, and integrate with databases (SQL/NoSQL) • Ensure application quality through testing, monitoring, and observability • Collaborate with cross-functional teams (product, UX, data science) • Troubleshoot and optimize AI models, pipelines, and integrations

• Design and build the knowledge graph that represents structured content, its relationships, and its provenance. • Own the RAG retrieval pipeline end-to-end — chunking strategy, embeddings, hybrid retrieval, re-ranking, evaluation. • Drive measurable improvements in retrieval quality, hallucination rates, token economics, and latency. • Work directly with lighthouse customers to shape what "grounding" means in practice for enterprise AI deployments. • Contribute to the architectural foundations that the rest of Paligo's AI work will build on. • Partner with our CISO to keep what we build compliant with our security standards and data protection obligations.

• Collaborate with global cross-functional working groups (frontend/backend/ML engineers, design, product and operational teams) to design and build end-to-end AI powered product solutions to improve Airbnb’s customer service experience. • Use AI tooling to analyze data, build hypotheses, experiment, learn and iterate to improve the Integrated Knowledge Management services. • Optimize system availability, performance, and scalability while pushing enhancements for improved efficiency. • Advocate and participate in efforts to advance Airbnb’s engineering processes, technical foundations, and AI tooling.

Job Description: Location: Lemont, Illinois (Hybrid) Employment Type: Contract Duration: 6+ month contract w/extension Role Overview An opportunity is available for an AI Integration Developer to design, enhance, and maintain AI-assisted workflows supporting scientific data. This role involves collaborating with scientific domain experts to understand data structures, implement dataset taxonomies, and orchestrate the migration of datasets for computational analysis using approved LLMs. The position focuses on automation, orchestration, and data structuring to build impactful solutions for research scientists. Key Responsibilities - Collaborate with scientific domain experts to understand datasets, locations, and desired outcomes. - Design and implement AI-driven data workflows, including data preparation, metadata structuring, and LLM-enabled orchestration. - Filter, sanitize, normalize, and prepare data for long-term storage and sharing. - Package data with AI-enabling metadata into HDF5 format. - Create mechanisms to migrate and inventory data for easy retrieval. - Build accessible and user-friendly interfaces and workflows for research staff. - Develop solutions using revision control and adhere to cybersecurity and IT standards. - Deliver a minimum viable product (MVP) within the first 90 days, followed by further refinement and feature additions. Required Qualifications Education: An Associate or bachelor’s degree in computer science, information technology, system administration, or a closely related field, or equivalent experience is required. Experience: A minimum of two years of experience in software development and/or system administration is required. Technical Skills: - Strong understanding of AI, LLMs, and prompt engineering. - Proficiency in Python scripting for automation and workflow development. - Experience building data pipelines or ETL-like processes, including data cleansing, normalization, and transformation. - Working knowledge of REST APIs. - Familiarity with Git or other revision control systems. - Experience with CI/CD pipelines (e.g., GitLab/GitHub). - Strong skills in Linux (RHEL/Debian) command-line administration. - Familiarity with relational databases such as MySQL or Oracle. Preferred Qualifications - Experience with AI workflow orchestration tools like Dify. - Familiarity with GUI development using Python or web-based applications. - Understanding of data workflows within scientific or research environments. - Exposure to LLM-based data processing or automation use cases. Work Environment This is a full-time, 40-hour per week contract position. The work schedule is primarily remote, with a requirement to be on-site between 20-40% of the time. The role involves working with government-furnished equipment and adhering to all computer protection program policies and security requirements. Compensation The pay rate for this position ranges from $50.00 to $80.00 per hour. Compensation may vary based on factors including but not limited to experience, qualifications, and geographic location. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.