Avenue 45 · 8 hours ago
Senior Applied AI Engineer
SD Metro Area
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $150K/yr
3+ years expAvenue 45 is seeking a Senior Applied AI Engineer to join their team in San Diego, CA. The role involves building and deploying AI solutions that support various business workflows and requires collaboration with different teams to ensure compliance and security in a regulated environment.
Staffing & Recruiting
No H1B
Hiring Manager
Rachel Steffens
Responsibilities
Build AI applications such as copilots, search assistants, document intelligence/generation, workflow automation agents, predictive models and decision-support tools
Implement RAG pipelines using enterprise data sources (SharePoint, data lake, document repositories, research systems, etc.)
Build and maintain end-to-end AI pipelines : data ingestion, feature engineering, model training, evaluation, deployment, and monitoring
Integrate LLMs via APIs and platforms (Azure OpenAI, OpenAI, Anthropic, AWS Bedrock) into business workflows
Develop prompt engineering, grounding, and evaluation frameworks to improve accuracy and reliability
Translate business use cases (e.g., medical affairs, regulatory, commercial, finance) into working AI prototypes and production apps
Collaborate with Data Scientists to translate models into scalable production systems
Collaborate with Product Owners and SMEs to refine requirements and success metrics
Build reusable AI components, prompt libraries, and solution patterns
Deploy and maintain AI solutions using cloud platforms and modern APIs
Implement basic MLOps and LLMOps : versioning, monitoring, logging, performance tracking
Integrate with identity, access control, and data-security platforms (RBAC, Purview, etc.)
Implement logging, observability, performance tracking, and cost optimization for AI workloads
Ensure reliability, scalability, and security of AI systems in production environments
Ensure AI solutions follow data classification, privacy, and AI governance policies
Support documentation for model usage, data sources, and risk assessments
Implement guardrails to prevent data leakage, hallucinations, and misuse
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Data Science, or related field
3–5 years of experience in software engineering, data engineering, or applied AI engineering
Strong proficiency in Python is required
Experience building and deploying applications using LLM APIs
Hands-on experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP)
Strong understanding of data engineering fundamentals, APIs, and distributed systems
Must be able to pass and clear background check and Drug Test prior to starting
The client Will Require 2 professional Work References to be completed prior to starting
Applicants must be authorized to work for ANY employer in the U.S. Must have permanent authorization to work in the U.S
The client is unable to sponsor or take over sponsorship of an employment Visa at this time
Preferred
Experience with RAG architectures, vector databases, and semantic search
Exposure to Azure OpenAI, Copilot Studio, LangChain, LlamaIndex, or similar frameworks
Familiarity with MLOps platforms (MLflow, SageMaker, Azure ML, Databricks)
Experience in regulated or data-sensitive environments (pharma, healthcare, finance)
Familiarity with AI governance, responsible AI, model explainability, and data classification
Experience building enterprise copilots or agentic AI solutions
Benefits
Bonus
Equity
Great Benefits
Company
Avenue 45
Avenue 45 | Rachel Steffens, President – S-Corp | Senior Technical Recruiter | Freelance & Contract I am an experienced Senior Technical Recruiter specializing in freelance and contract recruitment, partnering with multiple clients and consulting firms to deliver top talent solutions.
0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase