Full Stack Developer – AI Consultant

Mandatory Skills: Java, Spring Boot, Angular, Azure, Microservices, Agentic AI workflows using LangGraph, LangChain, or comparable frameworks, P&C Insurance.

Application Requirements: Candidates must include their LinkedIn and Github profiles to go along with their applications.

Position Summary

We are seeking a hands-on Full Stack AI Consultant to accelerate our AI-in-SDLC strategy, establish agentic workflow orchestration capabilities, and embed modern engineering best practices across the organization.

Key Responsibilities

• Assess current engineering practices and deliver a prioritized modernization roadmap with AI integration at its core.
• Build Enterprise Shared Services and APIs that could be reused across different product teams.
• Define and execute an AI-in-SDLC strategy embedding intelligent automation across code generation, automated testing, code review, release notes, and deployment.
• Design and implement agentic workflow orchestration using LangGraph, including multi-agent collaboration, tool integration, memory management, and human-in-the-loop patterns.
• Build reusable reference implementations, libraries, and playbooks for AI-augmented engineering.
• Drive adoption of DevOps, CI/CD, and observability practices with AI-driven enhancements.
• Advise on engineering policies and standards that embed AI-first principles.
• Upskill existing engineers on agentic AI patterns and AI-integrated development practices.

Qualifications & Experience

Core Engineering & Architecture:

• 15+ years in software engineering with advisory experience.
• Technical implementation experience that strictly aligns with the high seniority and depth required for this position.
• Expertise in Java, Spring Boot, Angular, and cloud-native architectures on Microsoft Azure.
• Strong background in microservices, Docker/Kubernetes, API-first design, and event-driven architectures.

AI & Agentic Systems (Strict Requirements):

• Demonstrated, hands-on Agentic AI implementation experience.
• Proven experience building, deploying, or operationalizing AI agents in production environments.
• Demonstrated effective use of AI tools for software development and code review activities.
• Ability to clearly explain AI-generated code, agent architectures, or multi-agent systems you have worked on.
• Broad AI engineering expertise (experience that is highly platform-specific rather than demonstrating broader AI engineering expertise will not advance).
• Hands-on experience orchestrating agentic AI workflows using LangGraph, LangChain, or comparable frameworks.
• Proven ability to design multi-agent systems with tool use, planning, and RAG patterns.
• Experience embedding AI into the SDLC like AI-assisted coding, intelligent test generation, automated documentation, and release automation.
• Strong understanding of LLM orchestration, prompt engineering, and AI observability.

Domain & Soft Skills:

• Insurance P&C domain experience strongly preferred.
• Excellent communication skills with the ability to influence from engineering teams to senior leadership.
• Track record of delivering measurable outcomes within time-bound engagements.

Education

• Bachelor’s or Master’s in Information technology, Computer Science or related field.

Work Environment

This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.

Physical Demands

This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

EEO

Saama provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall,…