AI Lead

Job Description: AI Innovation Lead

About the Role

We are seeking an experienced AI Innovation Lead to design and implement sophisticated

multi-agent AI systems for our clients across various industries. You'll lead the development of

intelligent assistants and complex reasoning agents that deliver exceptional user experiences

through advanced natural language processing and agentic workflows.

We're looking for a visionary leader who doesn't just execute-but innovates, experiments with

new approaches, and constantly asks 'what else is possible?' This role requires someone who

pushes boundaries, explores alternative solutions beyond conventional methods, and works

closely with teams and clients to identify transformative use cases and rapidly prototype

solutions.

Key Responsibilities

• Lead the design and implementation of multi-agent conversational AI systems with

advanced reasoning capabilities

• Architect and oversee the development of intelligent assistants and chatbots tailored to

client requirements, including complex reasoning agents and specialized automation

tools

• Build and optimize large-scale AI architectures supporting concurrent user interactions

and complex workflows

• Guide technical strategy for implementing RAG and GraphRAG solutions for

domain-specific knowledge integration, using best practices like MCP & A2A

• Deploy and fine-tune large language models (LLMs) for specialized use cases across

different domains

• Lead team initiatives in developing custom agents using frameworks such as

LangGraph, AutoGen, and Crew AI for orchestrated multi-agent workflows

• Build robust query processing and resolution mechanisms with context-aware response

generation

• Enable continuous performance monitoring and observability using frameworks like

LangFuse and LangSmith

• Mentor team members and drive best practices in AI/ML engineering
• Integrate large numbers of APIs using tool calling and function integration patterns
• Collaborate with stakeholders to translate business requirements into technical solutions Required Qualifications: •Bachelor's or Master's degree in Computer Science, AI/ML, or related technical field
• 8+ years of proven experience building and shipping production-level AI/ML applications
• 2-3+ years in a lead or senior technical role with demonstrated leadership capabilities
• Strong programming and debugging skills in Python
• Hands-on experience with OpenAI, Anthropic, Hugging Face, LangChain, or similar

frameworks

• Deep understanding of LLMs, prompt engineering, agentic orchestration, knowledge

graphs, MCP, vector databases, and retrieval-augmented generation (RAG)

• Proven track record of leading technical teams and delivering complex AI projects
• Product mindset with strong sense of ownership and responsibility
• Excellent communication skills for client interactions and team collaboration Bonus: •Experience with cloud infrastructure, DevOps, or full-stack development
• Previous experience in consulting or client-facing role