Artificial Intelligence Engineer

InstantServe LLC; California; Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

Employer premium coverage for employee

Dependent premium coverage (70%)

Flexible Spending Account

Paid time off

Holidays

Job summary

InstantServe LLC is seeking a hands‑on AI engineer to turn business needs into practical AI applications. You’ll partner with data science leadership to identify opportunities, build intelligent tools and deploy reliable solutions used daily by stakeholders.

The role emphasizes applying existing AI tech with strong engineering judgment, ownership from discovery to deployment, and collaboration with analysts, data scientists and business teams.

Qualifications

• Bachelor’s degree in CS/DS/IS or related field.
• 5+ years in software dev, data engineering or data science.
• 2+ years hands‑on applied AI/LLM experience.
• Delivery of production AI apps used by stakeholders.
• Strong Python and SQL skills.
• Experience with agent orchestration/workflow frameworks.
• Knowledge of RAG, embeddings and vector stores (Pinecone, ChromaDB, Weaviate, pgvector).
• Experience integrating LLM APIs (OpenAI, Anthropic, Google, or open‑source).
• Ability to analyze data and communicate actionable findings.
• Strong communication for nontechnical audiences.
• Ability to own projects from discovery through delivery with limited supervision.
• Commitment to evidence‑based public health and scientific research.
• Willingness to attend San Diego area office Tue‑Thu.

Responsibilities

• Design and deploy AI‑powered applications, multi‑agent systems, RAG pipelines and analytical workflows.
• Build automation using tools such as LangGraph, LangChain, CrewAI, AutoGen, n8n and Copilot Studio.
• Connect AI services to enterprise data and applications via APIs, MCP and controlled tool use.
• Develop Python and SQL solutions with Snowflake integrations.
• Translate requirements into scoped projects, interfaces, and maintainable architecture.
• Develop prompts, system instructions and evaluation frameworks.
• Select models and platforms based on capability, reliability, cost and needs.
• Build knowledge bases, embedding pipelines, vector stores and retrieval services.
• Analyze datasets, identify patterns and present findings to leadership.
• Collaborate with analysts, data scientists, visualization developers and stakeholders.
• Maintain documentation, testing and knowledge transfer for sustainable operation.

Skills

Python

SQL

LLM experience

AI development

Data analysis

Communication

Independent ownership

Education

Bachelor's in CS/DS/IS

Master's degree

Tools

LangGraph

LangChain

CrewAI

AutoGen

n8n

Microsoft Copilot Studio

Snowflake

ChromaDB/Weaviate/povec/vector stores

Job description

Join a mission-driven organization using research, data and technology to improve healthcare access, affordability and independence for older adults.

We are seeking a hands-on AI engineer who can turn business needs into working applications. You will partner with data science leadership to identify valuable opportunities, develop intelligent tools and deliver reliable solutions that stakeholders can use every day.

This position emphasizes practical application of existing AI technologies, strong engineering judgment and ownership from initial discovery through deployment and support.

Key Responsibilities

• Design and deploy AI-powered applications, multi-agent systems, retrieval-augmented generation pipelines and analytical workflows.
• Build automation using tools such as LangGraph, LangChain, CrewAI, AutoGen, n8n and Microsoft Copilot Studio.
• Connect AI services to enterprise data and applications through APIs, MCP and controlled tool-use patterns.
• Develop Python and SQL solutions, including integrations with Snowflake and other data platforms.
• Translate loosely defined requirements into scoped projects, intuitive interfaces, documented implementations and maintainable architecture.
• Develop prompts, system instructions and evaluation frameworks that improve output quality and consistency.
• Select appropriate models and platforms based on capability, reliability, cost and organizational needs.
• Build knowledge bases, embedding pipelines, vector stores and retrieval services for approved organizational information.
• Analyze datasets, identify patterns and communicate findings that support leadership decisions.
• Collaborate with analysts, data scientists, visualization developers and business stakeholders.
• Maintain documentation, testing and knowledge transfer to support sustainable operation.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems or a related discipline.
• At least five years of professional experience in software development, data engineering or data science.
• At least two years of professional, hands‑on applied AI or LLM experience.
• Demonstrated delivery of production AI applications used by real stakeholders.
• Strong Python and SQL skills.
• Experience with agent orchestration or workflow frameworks.
• Working knowledge of RAG, embeddings and vector databases such as Pinecone, ChromaDB, Weaviate or pgvector.
• Experience integrating LLM APIs or platforms, including OpenAI, Anthropic, Google or open‑source alternatives.
• Ability to independently analyze data and communicate actionable findings.
• Strong communication skills and the ability to explain technical decisions to nontechnical audiences.
• Ability to own projects from discovery through delivery with limited supervision.
• Commitment to evidence‑based public health and scientific research.
• Ability to attend the San Diego‑area office Tuesday through Thursday.

Preferred Qualifications

• Master’s degree in a related field.
• Snowflake experience.
• Microsoft Copilot Studio, Power Automate or comparable enterprise automation experience.
• MCP and secure tool integration experience.
• A portfolio or live demonstration showing deployed applications, engineering decisions and stakeholder value.

Compensation and Benefits

• Annual salary of $140,000–$180,000.
• Up to 10% annual performance bonus.
• Medical, dental, vision, disability and life insurance.
• Full employer premium coverage for the listed employee insurance benefits and 70% dependent premium coverage for medical, dental and vision.
• Flexible Spending Account.
• 15 days of paid time off and 16 paid holidays.