AI Integration Engineer
Company: Medlytix
Location: Roswell
Posted on: February 13, 2026
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Job Description:
Job Description Job Description We're seeking an AI Integration
Engineer with a strong data engineering foundation to design and
build the data infrastructure that powers our AI-driven automation
and business intelligence initiatives. This role sits at the
intersection of data engineering, API development, and AI, focusing
on creating robust data exchange systems and multi-agent AI
workflows that replace legacy processes. You'll build systems where
AI agents and humans collaborate through bidirectional work
delegation-both for our internal operations and the client
solutions we deliver. Key Responsibilities API Development & Data
Exchange Design, develop, and maintain scalable RESTful for data
exchange between systems Build real-time data pipelines and
streaming architectures to support AI agent operations Implement
API gateways, rate limiting, authentication, and security best
practices Create comprehensive API documentation and integration
guides for internal and external stakeholders Monitor API
performance, optimize response times, and ensure high availability
AI Agent Integration & Automation Integrate and orchestrate AI
agents (LLMs, ML models, autonomous agents) into business workflows
Design and implement agent-to-agent communication protocols and
data handoffs Build middleware and connectors to enable AI agents
to access enterprise data sources Develop feedback loops and
monitoring systems for AI agent performance Create automated
workflows that combine multiple AI capabilities (RAG systems,
function calling, multi-agent systems) Data Infrastructure Maintain
and optimize data warehouses, data lakes, and vector databases
Build ETL/ELT pipelines that prepare data for AI consumption
Implement data quality checks, validation, and governance
frameworks Design data models that support both analytical queries
and AI agent operations Manage structured and unstructured data
storage solutions Business Intelligence Support Collaborate with BI
teams to expose data through APIs for dashboards and reporting
Build data APIs that serve real-time metrics and KPIs Create data
aggregation services that support analytical workloads Enable
self-service data access through well-documented APIs and MCP
servers Required Qualifications Technical Skills Data Engineering:
3 years of experience with modern data stack (dbt, Airflow, Spark,
etc.) API Development: Strong proficiency in Python and similar
languages for API development Database Expertise: Deep knowledge of
SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, etc.) Cloud
Platforms: Experience with AWS, GCP, or Azure data and AI services
API Technologies: REST, GraphQL, gRPC, WebSockets, message queues
(Kafka, RabbitMQ) AI/ML Familiarity: Understanding of LLM APIs
(OpenAI, Anthropic, etc.), prompt engineering, RAG systems, and
vector databases (Pinecone, Weaviate, Chroma) Preferred Skills
Experience with AI agent frameworks (LangChain, LlamaIndex,
Pydantic AI, AutoGen, CrewAI) Knowledge of API management platforms
(Kong, Apigee, AWS API Gateway) Familiarity with containerization
and orchestration (Docker, Kubernetes) Experience with event-driven
architectures and microservices Understanding of data security,
encryption, and compliance requirements (GDPR, HIPAA, PHI, etc.)
Background in DataOps, MLOps, or DevOps practices Familiarity with
WASM based tools and design patterns.
Keywords: Medlytix, Roswell , AI Integration Engineer, IT / Software / Systems , Roswell, Georgia
