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Sr AI Engineer
Key Details
- full time Jobs
- 6+ years experience
Top Skills Required
Predictive AnalyticsRetrieval-Augmented GenerationFeature Stores +19 more
Top Benefits
Description
Job Summary
Purpose Serves as the senior hands-on technical builder within AI Engineering — translating business opportunities into production-ready AI solutions and reusable AI capabilities, while raising the engineering bar through code review and mentorship of junior AI engineers.
What You'll Do:
- Design, build, and deploy machine learning, generative AI, and agentic solutions — RAG, knowledge assistants, enterprise copilots, predictive analytics, and workflow automation agents
- Act as the primary code reviewer for the AI engineering team, owning code quality standards, review turnaround, and merge approval for AI solution and agent codebases
- Provide structured mentorship and technical coaching to junior AI Engineers, AI Cloud Developers, and contractor developers — pairing, design walkthroughs, and skill development plans
- Partner day to day with the AI Architect, converting architecture patterns and reference designs into working, scalable implementations and feeding practical build constraints back into architecture decisions
- Own technical solution delivery end to end: solution design input, experimentation, production deployment, and post-deployment technical ownership
- Implement MLOps and deployment standards — CI/CD for AI, model monitoring, retraining, version and lifecycle management — in partnership with AI Platforms & Operations
- Contribute to reusable AI assets: shared prompts, AI frameworks, enterprise AI services, and agent orchestration patterns
- Apply Responsible AI guardrails and technical standards in every solution delivered
What You'll Bring:
- 6+ years in software/ML engineering with 3+ years delivering production AI/ML or GenAI systems
- Deep Python plus modern AI stack: LLM orchestration frameworks, vector databases, feature stores, RAG pipelines, agent frameworks
- Strong cloud engineering background (model hosting, AI development environments, containerized deployment) and MLOps/CI-CD depth
- Demonstrated record of leading code reviews and mentoring engineers in a delivery team
- Proven ability to work shoulder-to-shoulder with architects to take a pattern from design to production
What You'll Get:
- Purpose-Driven Work – Make an impact as part of a global team feeding the future and support farmers locally and around the world
- Excellent Benefits – Comprehensive medical, dental and vision coverage, plus a retirement program with generous employer matching for your future
- Grow Your Career– Tuition assistance for future education and ongoing learning and training opportunities for career advancement pathways across the organization
- Support When it Matters – Employee Assistance Programs, inclusive leaves, and paid time for holidays, volunteering, vacation, and wellness
- Thrive in a Strong Culture– Guided by our core values we put safety first, act with integrity, are stronger together, and deliver with excellence in a collaborative, high-performing environment
Job Details
- Job Type
- full time
- Experience
- 6+ years
Required Skills
Predictive AnalyticsRetrieval-Augmented GenerationFeature StoresModel Lifecycle ManagementTechnical CoachingContainerizationMentorshipVector DatabasesModel MonitoringAI Agent OrchestrationLarge Language Model OrchestrationPythonCloud EngineeringModel RetrainingMachine LearningAgent FrameworksResponsible AIWorkflow AutomationCI/CDCollaborationMLOpsGenerative AI
Daily digest
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