Lead Developer - Python , Gen AI
Lead Developer - Python , Gen AI
Posted yesterday
SENIORITY
Lead
About the role
- Strategic Partnership: Collaborate with teams outside of Technology to identify and implement novel AI solutions that solve real-world challenges.
- AI Integration: Embed Generative AI into workflows for developing enterprise data products and ML platforms to drastically improve efficiency and developer velocity.
- Technical Excellence: Design, develop, and maintain high-quality Python applications and services while promoting best practices for testing, documentation, and maintainability.
- Mentorship: Provide technical guidance and oversight to junior developers and offshore delivery resources.
- Governance & Security: Partner with security, risk, and compliance teams to ensure all solutions meet enterprise standards for governance, privacy, and ethics.
- Technology Evaluation: Proactively evaluate emerging technologies in the data and AI space to determine their practical viability and business value. Education, Experience, & Skill Requirements
- 6–9 years of professional software development experience with a strong emphasis on Python.
- Strong familiarity in applying Generative AI capabilities, including common patterns such as prompt design, Retrieval-Augmented Generation, embeddings & vector stores, and agentic AI.
- Data centric engineering experience building services and tools within a data engineering organization. A "data-first" Python developer who understands the challenges of enterprise data systems.
- Proven experience building and scaling software solutions in cloud environments (AWS preferred).
- An enthusiasm for staying current with AI trends and the pragmatic ability to apply them.
- Solid background in DevOps workflows, including Infrastructure as Code, containerization (Docker/Kubernetes), and CI/CD pipelines. Key Metrics
- Platform Impact: Success of tools and capabilities that measurably improve Analyst and Data Scientist productivity and speed-to-market.
- Solution Delivery: Successful deployment of high-quality GenAI solutions that drive internal efficiency and business value.
- Operational Productivity: Demonstrated commitment to improving the team's development lifecycle and automation.
- AI Advocacy: Active contribution to the organization's AI maturity through successful adoption and peer education.
Before you apply
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Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
