Job Description

We specialize in building intelligent AI agents that transform the way businesses operate. Our focus is on designing AI-driven solutions tailored to real-world use cases across industries – from customer engagement and sales automation to knowledge management and workflow optimization.

Architecture & System Design

• Designing multi-agent architectures (supervisor, hierarchical, collaborative patterns)
• Building fault-tolerant, production-grade agent systems with error recovery, fallback strategies, and human-in-the-loop escalation
• Architecting scalable RAG systems (hybrid search, query decomposition, agentic retrieval)
• Designing agent evaluation and benchmarking frameworks from scratch
• Security and safety patterns for autonomous agents (sandboxing, permission scoping, content filtering)

Advanced Agent Capabilities

• Complex workflow orchestration — agents that plan, delegate, self-correct, and iterate
• Multi-modal agent development (vision, audio, document understanding)
• Implementing advanced reasoning patterns (ReAct, reflection, tree-of-thought, self-critique loops)
• Building custom tool ecosystems — MCP servers, plugin architectures, dynamic tool selection
• Knowledge graph integration and structured knowledge management for agents
• Fine-tuning and distillation of models for domain-specific agent behaviors

Qualifications

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field

• 2- 5 years of experience in AI/ML engineering, with a focus on LLMs or agent-based systems

• Strong experience in system design and scalable architecture

• Proficiency in Python and modern AI frameworks

• Hands-on experience with RAG pipelines and vector databases

• Familiarity with model fine-tuning, evaluation, and deployment