Senior Ai Engineer

Description:

This role is ideal for a Lead Software Engineer with 7+ years of experience in software development, especially in autonomous AI agents and LLM frameworks like LangChain, LangGraph, or AutoGPT, and a track record of leading teams of 5-8 engineers. As we scale our capabilities in AI, ML, CV, LLM applications, and agentic AI systems, you will play a key role in enhancing our delivery processes, optimizing engineering performance, and ensuring technical excellence while leading high-performing teams.

What You'll Do:

* Design and develop Agentic AI applications using LLM frameworks (LangChain, LangGraph, LangSmith, Semantic Kernel, or similar)

* Architect and implement multi-agent systems for enterprise-grade solutions

* Integrate AI agents with APIs, databases, internal tools, and external SaaS products

* Lead and mentor a cross-functional team across global time zones

* Optimize performance, context retention, tool usage, and cost efficiency

* Build reusable pipelines and modules to support GenAI use cases at scale

* Ensure enterprise-grade security, privacy, and compliance standards in deployments

* Collaborate directly with clients and senior stakeholders

Required Skills:

* 7+ years of professional experience in software engineering and AI/ML

* 2-3 years of practical experience in LLM-based application development

* Strong track record of delivering Agentic AI systems (not just chatbots)

* Hands-on experience with:

* LangGraph, LangChain, ReAct, Semantic Kernel

* OpenAI, Claude, Gemini, Mistral, or Llama models

* Worked with any one voice agents such as Elevenlabs, Vapi, LiveKit

* Embedding models, vector databases (Qdrant, Pinecone, Weaviate, etc.)

* Prompt engineering, RAG, memory/context engineering

* Serverless, Python, Node.js, AWS/GCP/Azure cloud

* Experience leading engineering teams of 5-8 people and working with clients

* Excellent communication, documentation, and stakeholder management skills