Principal AI Engineer – Automation & AI

Your day to day:

Building & Shipping AI Systems

Design and deploy agentic AI workflows and automation solutions across enterprise functions including R&D, Engineering, Professional Services, IT, Finance, Sales, and Marketing
Build production-grade systems such as:
Multi-agent workflows
RAG-based applications
Document intelligence and summarization pipelines
Workflow and process automation solutions
Use modern AI tools and frameworks including:
Codex, Claude Code, Gemini, NotebookLM
LangChain, LangGraph, LlamaIndex (or equivalents)
Rapidly prototype, validate, and deploy solutions in weeks, not months
Owning End-to-End Delivery

Translate business problems into working AI systems
Design lightweight architectures and iterate quickly
Develop and implement:
Prompt engineering strategies
Orchestration logic
API integrations and data pipelines
Testing, validation, and monitoring frameworks
Partner directly with stakeholders to refine outputs and drive adoption
Driving High-Velocity Execution

Deliver continuous output with weekly or bi-weekly releases
Prioritize use cases based on:
ROI and business impact
Technical feasibility
Speed to value
Operate with minimal process and high accountability in a fast-paced environment
Contributing to Scalable AI Foundations

Build and maintain reusable assets including:
Prompt templates
Agent design patterns
Integration utilities
Contribute to lightweight standards for:
Security and data handling
Responsible AI practices
Evaluation and performance monitoring
Technical Leadership & Mentorship

Provide technical guidance to a small team of AI engineers and automation specialists
Lead by example through hands-on contribution
Support the evolution of the AI engineering function as it scales
Take the first step towards your dream career. Here is what we are looking for in this role.

Qualifications:

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
6–10+ years of software engineering experience with recent hands-on work in AI/LLM systems
Proven experience building and deploying:
LLM-powered applications
Agentic workflows
Automation solutions in production environments
Strong hands-on experience with tools such as:
Codex, Claude Code, Gemini, NotebookLM (or similar AI-assisted development tools)
LangChain, LangGraph, LlamaIndex, or equivalent frameworks
Proficiency in:
Python
API development and system integration
Cloud platforms (AWS, Azure, or GCP)
Preferred

Experience with:
RAG architectures and vector databases
AI evaluation frameworks, guardrails, and monitoring
Workflow automation tools and enterprise integrations
Experience working in regulated environments (e.g., life sciences, healthcare, financial services)
Familiarity with clinical data, CDISC standards, or clinical development workflows
Experience in high-growth or PE-backed SaaS environments

Skills Required
Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
6-10+ years of software engineering experience with recent hands-on work in AI/LLM systems
Proven experience building and deploying LLM-powered applications, agentic workflows, and automation solutions in production
Hands-on experience with AI-assisted development tools (e.g., Codex, Claude Code, Gemini, NotebookLM) or equivalents
Experience with framework/tooling such as LangChain, LangGraph, LlamaIndex (or equivalents)
Proficiency in Python
API development and system integration experience
Experience with cloud platforms (AWS, Azure, or GCP)
Experience with RAG architectures and vector databases
Familiarity with AI evaluation frameworks, guardrails, and monitoring
Experience with workflow automation tools and enterprise integrations
Experience working in regulated environments (life sciences, healthcare, financial services)
Familiarity with clinical data, CDISC standards, or clinical development workflows
Experience in high-growth or PE-backed SaaS environments