Cogniter Technologies - Generative AI Expert - LLM

Description

• Job Title : Generative AI Expert
• Location : Chandigarh, India (On-site)
• Experience Required : 2+ Years
• Employment Type : Full-Time

About The Role

Cogniter Technologies is seeking a skilled Generative AI Expert to join our advanced AI/ML team. In this role, you will design, develop, and deploy scalable AI-driven solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, AI agents, and vector databases.

If you are passionate about creating intelligent, real-world AI applications that push the boundaries of innovation, we would love to hear from you.

Key Responsibilities

• Develop AI applications using state-of-the-art LLMs such as GPT-4, LLaMA, Mistral, and Falcon.
• Architect and implement Retrieval-Augmented Generation (RAG) systems.
• Build and deploy AI agents using frameworks like LangChain.
• Integrate vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and retrieval.
• Deploy and optimize real-time inference engines such as Groq.
• Enhance model performance through prompt engineering, token optimization, and effective context management.
• Collaborate with cross-functional teams to enable production-level AI integrations.
• Stay current with the latest advancements in Generative AI and multimodal AI technologies.

• Minimum 2 years of hands-on experience working on Generative AI, LLMs, or NLP projects.
• Strong understanding of LangChain, RAG architectures, and vector search systems.
• Proficiency in Python and/or Node.js for AI development.
• Experience with LLM fine-tuning, prompt engineering, and model deployment.
• Familiarity with AI platforms such as OpenAI, Hugging Face, or Anthropic.
• Excellent analytical, problem-solving, and debugging skills.

• Experience working with inference engines like Groq or similar hardware accelerators.
• Knowledge of Reinforcement Learning with Human Feedback (RLHF).
• Exposure to MLOps, CI/CD pipelines, and model lifecycle management.
• Experience with multimodal AI involving text, images, and speech.

• Opportunity to work on cutting-edge AI projects with real-world impact.
• Collaborative and innovation-driven team environment.
• Access to advanced AI tools, frameworks, and infrastructure.
• Play a key role in shaping the future of AI and automation technologies.

(ref:hirist.tech)