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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack software engineering with a focus on AI engineering and machine learning. Proficient in developing generative AI solutions and applying data science methods to deliver effective prototypes and automation workflows.
Highest-signal resume keywords
Full-Stack Software EngineeringPython ProgrammingGenerative AI Solutions DevelopmentMachine Learning Methods ApplicationAgentic Workflows Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTypeScriptJavaScriptGoMachine Learning EngineeringData AnalysisFeature EngineeringModel TrainingModel EvaluationPrompt Engineering
Soft Skills
CollaborationRelationship BuildingMentorshipCommunication
Tools & Technologies
Claude CodeGitHub CopilotDatabricks AI AssistantAI Coding Assistants
Industry Keywords
Regulated IndustryBiopharmaHealthcareFinancial ServicesEmbedded Engineering
Tech Stack
Tools & technologiesJavaScriptPythonTypeScriptGo
About the role
Key responsibilities & impact- Contribute to business unit use-case engagements through prototyping, demoing, and refining under senior FDE direction
- Embed with business unit teams alongside Lead or Senior FDEs
- Build working relationships with business unit engineers and product owners
- Operate AI agent workflows and contribute to multi-agent prototype delivery
- Use AI coding assistants as the default mode of building, including Claude Code, GitHub Copilot, and Databricks AI Assistant
- Contribute to agentic workflows, delivery bot meshes, and developer automation
- Contribute to clean handoff packages for the Solutions Engineer, including documentation, runbooks, and working software
- Apply existing FDE pattern-library patterns and contribute refinements
- Support Code Orange, Responsible AI, and Accountability Report conversations during prototyping
- Learn the FDE practice through mentorship, feedback, and hands-on engagements
- Ship working AI proofs of concept with business unit teams and hand off proven solutions for productionisation
Requirements
What you’ll need- 1+ years of experience in full-stack software engineering, AI engineering, machine learning engineering, or a related field
- Experience programming in Python and at least one additional programming language, such as TypeScript, JavaScript, Go, or a similar language
- Experience developing generative AI solutions using large language models, agents, multi-agent orchestration, retrieval-augmented generation (RAG), or prompt engineering
- Experience applying AI, machine learning, or data science methods, such as supervised or unsupervised learning, model training, model evaluation, feature engineering, or data analysis
- Preferred: experience in a customer-facing, embedded engineering, startup, laboratory, consulting, or innovation-team environment
- Preferred: experience building agentic workflows, developer automation, or multi-agent delivery systems
- Preferred: experience working in a regulated industry such as biopharma, healthcare, or financial services
- Preferred: experience contributing to reusable engineering patterns, shared libraries, templates, or internal developer platforms
Benefits
Comp & perks- Annual bonus
- Eligibility to participate in the share based long term incentive program
- Health care and other insurance benefits for employee and family
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental and medical leave
- Accommodation or other assistance available for applicants with disabilities