Build intelligent AI solutions using Large Language Models (LLMs) and multi-agent frameworks for automation, reasoning, and advanced workflows.
Key Responsibilities:
Develop LLM-powered applications using GPT, Llama, Claude, or similar.
Build multi-agent systems using LangChain, AutoGen, or custom frameworks.
Integrate LLMs with external tools, APIs, and enterprise systems.
Optimize prompts, fine-tune models, and manage vector databases.
Ensure security, compliance, and performance of AI pipelines.
Requirements:
Strong experience in generative AI, LLMs, and prompt engineering.
Familiarity with LangChain, LlamaIndex, AutoGen, or similar frameworks.
Proficiency in Python, REST APIs, and cloud AI services (Azure OpenAI, AWS Bedrock, etc.).
Understanding of embeddings, vector databases (FAISS, Pinecone, Chroma), and RAG.
Experience with MLOps or AI orchestration tools is a plus.
Job Types: Full-time, Permanent
Application Question(s):
Are you familiar with LangChain, LlamaIndex, AutoGen, or similar frameworks. ?
What is your expected salary?
What is your earliest availability to join?
Education:
Bachelor's (Required)
Experience:
LLM & Multi-Agent Solutions Engineer: 3 years (Preferred)
generative AI, LLMs, and prompt engineering: 2 years (Preferred)
* Python, REST APIs, and cloud AI services: 2 years (Preferred)
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