Soar is a global fintech startup that specializes in financing and investment. Currently headquartered in Saudi Arabia, Soar is growing throughout the region with a mission to help people achieve their financial goals with innovative financial and property investment solutions and tools through its multi-purpose platform, designed to offer a simple and seamless user experience.

Company: Soar Software Development Company

Role: AI Systems Engineer (Agentic Development)

Location: Bengaluru, India, Chennai, India, Madrid, Spain, Poland (Remote, Full-time)

Experience:

Hands-on experience with LLM-based tools and workflows (e.g., Anthropic Claude or similar)
Experience building or managing AI-assisted or agent-driven systems
Experience with Google Cloud Platform (GCP) or similar cloud environments
Experience with prompt engineering, evaluation loops, and model tuning

Key Skills:

LLM-based tools and workflows
AI-assisted or agent-driven systems
Google Cloud Platform (GCP) or similar cloud environments
Prompt engineering
Evaluation loops
Model tuning
Multi-agent systems and orchestration frameworks
Vector databases
RAG pipelines
Knowledge systems

Role Focus:

Design and manage agent-based development workflows
Oversee AI-generated code: validate, test, refactor, and productionize
Build systems to evaluate agent output quality and reliability
Fine-tune prompts, tools, and pipelines to improve outcomes
Integrate AI agents into the software development lifecycle (SDLC)
Translate business problems (mortgage, real estate workflows) into AI-driven solutions
Establish best practices for multi-agent collaboration and orchestration
Monitor performance, cost, and accuracy of AI systems
Work across product and business teams to identify automation opportunities

Nice to have:

Experience with multi-agent systems and orchestration frameworks
Familiarity with real estate or mortgage workflows
Experience with vector databases, RAG pipelines, or knowledge systems
Exposure to tools like 'antigravity'-style AI workflows or similar emerging platforms

Other:

Build an AI-first company from the ground up
Work on real-world, high-impact problems in real estate and mortgage
Operate in a fast, experimental, innovation-driven environment
Shape how engineering is done—not just what is built
Development cycles reduced significantly through AI leverage
High-quality outputs from agents with minimal rework
Clear frameworks for agent validation and monitoring
Engineers spend more time on problem-solving and innovation, less on manual coding

AI Systems Engineer (Agentic Development)

Skills Required

Description

Experience:

Key Skills:

Role Focus:

Nice to have:

Other:

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