Sr AI Developer

Kaleris•Alpharetta, GA

About The Position

We are seeking an Sr. AI Developer who approaches every challenge with an AI-first mindset. As a senior-level member of our IT AI team, you will drive enterprise application modernization by designing, building, and operationalizing AI-powered solutions that replace legacy systems, reduce SaaS costs, and accelerate our digital transformation. This role blends hands-on development, technical architecture, strategic consulting, and executive stakeholder engagement to deliver transformative business outcomes. Every SaaS subscription replaced with an AI-enhanced, purpose-built internal tool delivers measurable ROI and greater control over data, workflows, and product roadmap. You will directly shape Kaleris's technology strategy and bottom line through cutting-edge AI-driven applications. This is a rare opportunity to build from the ground up, with executive sponsorship and the autonomy to innovate.

Requirements

5+ years in software/web engineering roles with progressive responsibility
Deep understanding of REST, GraphQL, OAuth, JWT, SSO, and secure integration patterns
Production experience with AWS, GCP, or Azure
Demonstrated ability to build business cases with ROI analysis
Experience presenting technical solutions to senior leadership (Director level or above)
Process discovery and solution consulting background
Track record driving user adoption of new technologies
Exceptional written and verbal communication skills
Ability to translate complex technical concepts into business value
Experience mentoring technical teams

Nice To Haves

Platform-specific development: Salesforce (Apex/LWC), NetSuite (SuiteScript/SuiteCloud), Atlassian (Forge/Connect apps)
Advanced AI infrastructure: Vector databases (Pinecone, Weaviate, Chroma), knowledge graphs, semantic search
Experience with RAG pipelines, embeddings, and AI agent frameworks
GraphQL expertise
Container orchestration (Kubernetes)
SSO and advanced security implementations
Expert-level proficiency: JavaScript/TypeScript, React, Next.js, Node.js, and modern web frameworks
Proven AI/ML experience: Hands-on work with LLMs (OpenAI, Anthropic, Google), prompt engineering, RAG, embeddings, and AI agent frameworks
Enterprise integration expertise: Track record integrating with platforms like Salesforce, NetSuite, Atlassian, SAP, or ServiceNow via APIs, SDKs, and webhooks
Change management certification or formal training
Background in supply chain, logistics, or enterprise software domains
TCO modeling and cost optimization analysis experience
Experience with SaaS contract negotiations
Training delivery and curriculum development

Responsibilities

Design and implement generative AI features using LLMs (GPT-4+, Claude, Gemini, etc.)
Build intelligent automation, predictive analytics, and conversational interfaces into business applications
Orchestrate multi-step agentic workflows with function calling and retrieval-augmented generation (RAG) pipelines
Architect AI infrastructure including vector databases, embeddings, knowledge graphs, and semantic search
Champion AI-assisted development practices using AI code assistants, prompt engineering, and agentic workflows to accelerate delivery
Build custom applications using JavaScript/TypeScript, React, Next.js, Node.js, and modern web frameworks to replace and consolidate SaaS tools
Architect scalable, secure, maintainable solutions with enterprise-grade integrations (Salesforce, NetSuite, Atlassian)
Design cloud-native solutions (AWS, GCP, or Azure) leveraging serverless, containerization, CI/CD pipelines, and enterprise security protocols
Develop and maintain data integrations that unify workflows and eliminate manual processes
Create comprehensive technical documentation for maintainability, knowledge transfer, and team enablement
Lead requirements discovery and collaborate with business stakeholders to map, optimize, and reimagine processes across departments
Evaluate SaaS contracts and identify strategic replacement opportunities with compelling business cases
Present technical roadmaps, architecture decisions, and ROI analyses to executive audiences in clear, business-focused terms
Challenge and validate solution strategies, ensuring scalability, robustness, and measurable business impact
Mentor developers, analysts, and solution engineers in multidisciplinary squads
Foster collaboration and technical excellence through workshops, code reviews, and knowledge sharing
Drive user adoption and change management by articulating business value, delivering training, and collecting actionable feedback
Establish best practices and architectural patterns for AI-driven application development