Senior AI/ML Engineer
Job Overview
We are seeking a highly skilled Senior AI Engineer specializing in agent-based systems and advanced AI architectures. The ideal candidate will have deep expertise in designing scalable, production-grade multi-agent systems, implementing advanced reasoning capabilities, and building robust, secure, and intelligent AI solutions.
Key Responsibilities:
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
Additional Information
Why Join Us
- Work on cutting-edge AI agent technologies
- Opportunity to design next-generation intelligent systems
- Collaborative and innovation-driven environment