Qureos Mentor

Inovola

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 Job Overview
 
 
 
 We are looking for a talented
 
 AI Engineer
 
 with over three years of experience in Large Language Models (LLMs), Conversational AI, and Generative AI. The ideal candidate will have hands-on experience building intelligent systems with LangChain and LangGraph, with a focus on AI agents, retrieval-augmented generation (RAG), and autonomous reasoning pipelines.
 
 
 You'll collaborate with cross-functional teams to design, implement, and optimize AI-driven solutions that enhance business processes and user experiences.
 
 
 
 Roles &amp; Responsibilities
 
 
 
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 Design, fine-tune, and deploy LLMs for production-ready applications.
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 Build AI agents and multi-agent systems using LangChain, LangGraph, and related frameworks.
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 Develop and integrate Conversational AI pipelines that deliver seamless, human-like interactions.
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 Implement Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and document retrievers.
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 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
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 Develop and maintain APIs and backend services using FastAPI and modern software engineering practices.
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 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
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 Optimize model inference, latency, and scalability in cloud and containerized environments
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 Optimize model inference, latency, and scalability in cloud and containerized environments.
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 Stay current with advancements in LLMs, Agentic AI, and Generative AI ecosystems.
 
 
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 Required Skills
 
 
 
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 Strong proficiency in Python and experience with LangChain and LangGraph for AI agent orchestration.
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 Experience integrating LLMs via APIs such as OpenAI, Anthropic, or Google Vertex AI.
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 Solid understanding of prompt engineering, RAG pipelines, and tool-using AI agents.
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 Proficiency with PyTorch, Transformers (Hugging Face), and vector databases (e.g., Qdarnt, FAISS, Chroma).
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 Experience designing multi-agent systems or workflow-based AI agents using LangGraph or similar frameworks.
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 Knowledge of LLM evaluation, prompt optimization, and context management strategies.
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 Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
 
 
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 Preferred Qualifications
 
 
 
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 Familiarity with MLOps and continuous integration/deployment pipelines for AI systems.
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 Understanding of generative AI models for text, image, or multimodal outputs.
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 Familiar with traditional ML and computer vision.
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 Strong problem-solving, collaboration, and communication skills.
 
 
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 Qualifications
 
 
 
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 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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 3+ years of hands-on experience in AI/ML model development and deployment.
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Mid/Senior AI Developer

Join Inovola and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Inovola

ABOUT_COMPANY

Mid/Senior AI Developer