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Location:India (Remote)
About the Role:
Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring ahigh-caliber Senior Generative AI Expertwith proven hands-on experience in buildingAgentic AI applications.
This role is ideal for someone who has5to 7+ yearsof software engineering and AI/ML experience and is now focused onautonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks.
Key Responsibilities:Design and developAgentic AI applicationsusing LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
Architect and implementmulti-agent systemsfor 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-gradesecurity, privacy, and compliance standardsin deployments
Collaborate directly with clients and senior stakeholders
5 to 8+ years of professional experience in software engineering and AI/ML
2+ years of practical experience inLLM-based application development
Strong track record of deliveringAgentic AI systems(not just chatbot interfaces)
Hands-on experience with:
LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
OpenAI, Claude, Gemini, Mistral, or Llama2
Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
Prompt engineering, RAG, memory/context management
Serverless, Python, Node.js, AWS/GCP/Azure cloud
Experience leading engineering teams and working with enterprise clients
Excellent communication, documentation, and stakeholder management skills
Work on UAE Government AI initiatives
Lead cutting-edgeAgentic AI projectsat enterprise scale
Collaborate with senior teams across US, Canada, UAE, India, and Pakistan
Competitive compensation + long-term career roadmap
Salary:45-50 LPA (and benefits including PF, Medical Insurance, Paid Leaves)
Job ID: 137848175