Senior AI Full Stack Java Developer

Job Description

About the Role

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.

Strategic AI Solutioning

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

Technical Leadership & Architecture

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

Business Partnership & Strategy

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

Team Leadership & Enablement

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

Required Qualifications

Experience & Technical Expertise:

5+ years in software/web engineering roles with progressive responsibility

API & security mastery: Deep understanding of REST, GraphQL, OAuth, JWT, SSO, and secure integration patterns

Cloud-native development: Production experience with AWS, GCP, or Azure

Strategic & Business Skills

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

Communication & Leadership:

Exceptional written and verbal communication skills

Ability to translate complex technical concepts into business value

Experience mentoring technical teams

NICE-TO-HAVE Qualifications

Technical Enhancements:

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

Business & Domain Experience

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

Key Competencies & Soft Skills

Intellectual curiosity and passion for emerging AI technologies

Critical thinking with strong independent judgment and problem-solving

Empathy and collaboration with ability to build trust across diverse teams

Adaptability to thrive in fast-paced, ambiguous environments

High accountability with proactive delivery and measurable-impact orientation

Technical evangelism with enthusiasm for teaching and enabling others

Positive spirit and integrity in all interactions

Why This Role Matters

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.

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.