Key Facts

Remote From:

Pakistan , India , Canada

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Communication
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Leadership
•
Mentorship

Roles & Responsibilities

5-8+ years of professional software engineering and AI/ML experience, focusing on autonomous AI agents
2+ years of hands-on experience in LLM-based application development
Hands-on experience with LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel; familiarity with OpenAI, Claude, Gemini, Mistral, or Llama2; embedding models and vector databases (FAISS, Pinecone, Weaviate)
Proven experience leading engineering teams and collaborating with enterprise clients; strong communication, documentation, and stakeholder management; serverless, Python and Node.js; cloud (AWS/GCP/Azure)

Requirements:

Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
Architect and implement multi-agent systems and integrate AI agents with APIs, databases, internal tools, and external SaaS products
Lead and mentor a cross-functional team across global time zones; collaborate with clients and senior stakeholders
Build reusable pipelines and modules to scale GenAI use cases; optimize performance, context retention, tool usage, and cost efficiency; ensure enterprise-grade security, privacy, and compliance

Job description

Role: Senior GenAI (Agentic) Engineer

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 a high-caliber Senior Generative AI Expert with proven hands-on experience in building Agentic AI applications.

This role is ideal for someone who has 5 to 7+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks.

Key Responsibilities:

Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, 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

Ideal Candidate Profile:

5 to 8+ years of professional experience in software engineering and AI/ML
2+ years of practical experience in LLM-based application development
Strong track record of delivering Agentic 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