Verified Job
IT / Software / Data Analyst
AI Agent Factory Developers
IT / Software / Data Analyst
#594489
Remote / WFH
Job Description
Title: AI Agent Factory Developers
Location: Pan India
Experience: 3-8 years
Must-Haves:Python , AI Agent / Multi Agent / RAG / Hugging Face OR LangChain OR OpenAI API OR Transformers
Key Responsibilities
LLM Integration Development:
Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation.
AI Agent Engineering
Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals.
GenAI Use Case Implementation
Deliver GenAI-powered solutions such as chatbots, summarizers, document QA systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex.
System Integration
Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution.
Performance Tuning
Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems.
Collaboration Documentation
Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases.
Required Qualifications
• 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs.
• Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers).
• Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models.
• Understanding of prompt engineering, agent architectures, and conversational AI flows.
• Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field.
Preferred Qualifications
• Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes).
• Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA).
• Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems.
• Knowledge of model safety, evaluation, and compliance standards in GenAI."""
This job is provided by Shine.com
Location: Pan India
Experience: 3-8 years
Must-Haves:Python , AI Agent / Multi Agent / RAG / Hugging Face OR LangChain OR OpenAI API OR Transformers
Key Responsibilities
LLM Integration Development:
Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation.
AI Agent Engineering
Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals.
GenAI Use Case Implementation
Deliver GenAI-powered solutions such as chatbots, summarizers, document QA systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex.
System Integration
Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution.
Performance Tuning
Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems.
Collaboration Documentation
Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases.
Required Qualifications
• 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs.
• Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers).
• Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models.
• Understanding of prompt engineering, agent architectures, and conversational AI flows.
• Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field.
Preferred Qualifications
• Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes).
• Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA).
• Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems.
• Knowledge of model safety, evaluation, and compliance standards in GenAI."""
This job is provided by Shine.com
