Integrichain1

Integrichain1

AI Engineer, Forward Deployed

Philadelphia, PA, United States

Sponsorship not specifiedDetected 62 days ago
PythonReactFastAPIBackend DevelopmentCode ReviewGitSQLSnowflakeAWSDevOpsSite Reliability EngineeringData AnalysisData VisualizationLLMsProduct ManagementProduct StrategyForecastingBudgetingManual TestingPatient CareCommunicationCollaboration

About the role

  • IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers.
  • For more information, visit www.integrichain.com, or follow us on Twitter @ IntegriChain and LinkedIn.
  • You will serve as the critical bridge between our product team and internal operational departments, translating cutting-edge AI capabilities into practical, measurable outcomes for the business.

Responsibilities

  • Lead the end-to-end implementation of AI solutions within operational contexts: from scoping and design through build, testing, deployment, and iteration.
  • Provide hands-on troubleshooting and support for AI models running in production within internal team environments, ensuring reliability and performance.
  • Drive change management and adoption by training internal team members on new AI tools, workflows, and best practices.
  • Document operational AI use cases, implementation patterns, and lessons learned to inform the product roadmap and support scaling to additional teams.
  • Design, build, and maintain LLM-powered features for enterprise data applications, including natural-language analytics and AI-assisted workflows.
  • Implement agent loops that support multi-step reasoning, tool-calling, retry handling, tool-result summarization, and final response generation.
  • Build orchestration logic that maps LLM tool requests to backend functions, executes the tools, handles errors, and feeds summarized results back into the conversation.
  • Create traceable AI experiences where users can inspect tool steps, generated SQL, data outputs, chart recommendations, and final explanations.
  • Develop domain-aware system prompts, instruction templates, and response formats tailored to Managed Services workflows and broader pharmaceutical data analytics use cases.
  • Optimize prompts for reliability, concise responses, controlled formatting, and consistent behavior across Quick Mode, Agentic Mode, and AI Chat experiences.

Requirements

  • ICyte is the first and only platform that unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine.
  • This role offers flexibility, but candidates must reside in Pennsylvania, New Jersey, or New York and be within a reasonable travel distance of our Philadelphia office, as regular in-person collaboration is required.
  • The ideal candidate thrives in ambiguous, fast-moving environments and is equally comfortable writing production code, advising stakeholders, and redesigning workflows around AI-first thinking.

Nice to have

  • Define and maintain tool schemas for LLM tool-calling, including tool names, descriptions, required inputs, output contracts, and safe execution boundaries.
  • Understand LLM context windows, token budgeting, tool result truncation, conversation memory, and prompt injection risks.
  • Monitor and improve model performance through test cases, prompt evaluation, failure analysis, and iterative tuning.
  • Apply token and cost optimization techniques such as compact tool results, selective context inclusion, response constraints, and model selection tradeoffs.
  • Integrate chart recommendations, result tables, SQL expanders, and execution traces into the AI user experience.
  • Work with DevOps/SRE teams on environment configuration, secrets handling, observability, and runtime monitoring.
  • Contribute to reusable AI engineering standards for prompts, tools, evaluation, logging, and deployment.
  • Strong understanding of LLM application patterns, including model API calls, prompt engineering, tool/function calling, agent loops, and response parsing.

Benefits

  • Excellent and affordable medical benefits + non-medical perks including Student Loan Reimbursement, Flexible Paid Time Off and Paid Parental Leave
  • Robust Learning & Development opportunities including over 700+ development courses free to all employees
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