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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building AI workflows that integrate various systems, with a strong focus on production outcomes and model performance. Proficient in software engineering, particularly in Python, and experienced in AI/ML systems, including model evaluation and orchestration.
Highest-signal resume keywords
Python ProgrammingAI/ML Systems DevelopmentAPI IntegrationModel Evaluation and MonitoringWorkflow Orchestration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Production Systems DevelopmentAI AgentsRetrieval PipelinesDecision LogicModel Performance ImprovementSuccess Metrics DefinitionData HandlingDistributed SystemsPrompt DesignFeedback Loops
Soft Skills
Product OrientationAmbiguity ManagementTrade-off Decision Making
Tools & Technologies
TemporalAirflowStep FunctionsCI/CDData Pipelines
Industry Keywords
Regulated EnvironmentsEnterprise EnvironmentsMLOpsAI Best Practices
Tech Stack
Tools & technologiesAirflowDistributed SystemsPython
About the role
Key responsibilities & impact- Design and build production-grade AI workflows integrating HR, Finance, Operations, and CRM systems
- Implement orchestration logic including triggers, retries, fallbacks, and human-in-the-loop patterns
- Develop and maintain AI agents, prompts, retrieval pipelines, and decision logic
- Own production model behaviour, including accuracy, usefulness, failure modes, and edge-case handling
- Improve model performance using evaluation frameworks, feedback loops, and real-world usage data
- Define and track success metrics such as accuracy, resolution rate, and time saved
- Diagnose poor outcomes and improve system decision quality
- Partner with Data Engineering on infrastructure, CI/CD, data pipelines, security, governance, shared standards, schemas, and AI best practices
Requirements
What you’ll need- Strong software engineering background (Python or similar), with a track record of building production systems
- Hands-on experience with AI / ML systems (LLMs, classifiers, decision models, or similar)
- Experience integrating APIs and working with distributed systems
- Experience designing prompts, retrieval pipelines, or ML inference workflows
- Solid understanding of model evaluation, monitoring, and feedback loops
- Comfortable working with structured and unstructured data
- Product-oriented and focused on production outcomes
- Comfortable owning ambiguity and making trade-offs
- English language
- Workflow orchestration tools such as Temporal, Airflow, or Step Functions are a plus, but not required
- Experience building internal tools or agents is a plus, but not required
- Familiarity with regulated or enterprise environments is a plus, but not required
- Exposure to MLOps or AI evaluation frameworks is a plus, but not required
Benefits
Comp & perks- Hybrid work model with three days a week in the office
- Equal opportunity employer valuing diversity
- Reasonable accommodations for individuals to perform essential job functions