About the Company

Design and develop AI agents and multi-agent systems for enterprise use cases (workflow automation, copilots, decision systems).

Responsibilities

Build agent orchestration frameworks leveraging LLMs and tool integrations
Develop solutions for document processing, summarization, classification, and knowledge retrieval systems
Experience in building Harness 0-1 and enhancing current with AI agents and tools orchestrations
Application Engineering & Platform Integration
Develop end-to-end AI-enabled applications integrating: Backend systems APIs and microservices, Data platforms
Ensure seamless integration with enterprise systems across claims platforms, document hubs, and workflow engines
Software Engineering & Architecture

Qualifications

8–12 years of experience in software engineering with focus on AI/ML or platform development

Required Skills

Programming: Python (mandatory), strong backend development experience
Database: SQL (data modeling, querying, performance tuning)
Architecture: Microservices architecture, RESTful APIs
Application Engineering: End-to-end solution design (backend + integrations)
AI / ML & Automation
Experience with AI/ML solutions in production environments
Experience with LLM frameworks (LangChain, Semantic Kernel, or similar)
Knowledge of prompt engineering, RAG architecture, vector databases
Hands-on experience with: AI-driven automation platforms, Copilot / Agent-based systems, Document processing or NLP-based applications
Leverage and develop Harness frameworks and AI Tools (mandatory)

Preferred Skills