Sr AI Developer

BravoTech

$120K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of software development experience
  • 3+ years building and deploying machine learning or AI solutions in production
  • Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience with LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)
  • Solid understanding of data engineering fundamentals
  • Experience with cloud-native AI deployment (Azure ML, AWS SageMaker, Vertex AI, etc.)
  • Ability to communicate complex technical ideas clearly and confidently

Responsibilities

  • Design, build, and deploy scalable AI/ML solutions
  • Architect production-ready pipelines from data ingestion through model monitoring
  • Develop and fine-tune LLM-based applications
  • Write high-quality, production-grade code
  • Implement MLOps best practices
  • Work across cloud platforms to deploy secure, enterprise-grade solutions
  • Translate ambiguous business problems into structured AI solution designs
  • Mentor junior developers and help elevate AI literacy across the organization

Benefits

  • Health and wellness programs
  • Flexible working hours and remote work options
  • Professional development opportunities
  • Collaborative team culture
  • Work on cutting-edge AI technology
Full Job Description
Job Description

Responsibilities:
70% - Hands-On AI Development & Engineering
  • Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation)
  • Architect production-ready pipelines from data ingestion through model monitoring
  • Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
  • Write high-quality, production-grade code (Python required; additional languages a plus)
  • Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
  • Work across cloud platforms (Azure, AWS, or GCP) to deploy secure, enterprise-grade solutions
  • Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
  • Optimize performance, scalability, and cost-efficiency of AI workloads

30% - Business Partnership & Solution Leadership
  • Translate ambiguous business problems into structured AI solution designs
  • Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
  • Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
  • Lead solution design workshops and whiteboarding sessions
  • Quantify expected ROI and define measurable success metrics
  • Influence prioritization of AI initiatives based on business value and feasibility
  • Mentor junior developers and help elevate AI literacy across the organization

What Success Looks Like
  • AI solutions deployed into production that generate measurable business impact
  • Reduced time-to-value from idea to implementation
  • Business leaders who trust and understand the AI solutions being delivered
  • Scalable architecture that enables repeatable AI delivery across functions

Required Qualifications
  • 7+ years of software development experience
  • 3+ years building and deploying machine learning or AI solutions in production
  • Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience with LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)
  • Solid understanding of data engineering fundamentals
  • Experience with cloud-native AI deployment (Azure ML, AWS SageMaker, Vertex AI, etc.)
  • Ability to communicate complex technical ideas clearly and confidently
  • Demonstrated experience working directly with business stakeholders

Preferred Qualifications
  • Experience implementing enterprise-scale AI governance frameworks
  • Background in analytics, optimization, or decision intelligence
  • Experience designing AI copilots or intelligent automation solutions
  • MBA or strong business acumen
  • Experience in regulated or complex operational environments

Competencies
  • Builder mindset with production discipline
  • Systems thinker who designs for scale
  • Commercially oriented technologist
  • Comfortable in ambiguity
  • Strong executive communication skills
  • Bias for measurable outcomes over experimentation


Meet Your Recruiter

Angela Hardemon

Text me about this job - 972-419-1615

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