Generative AI Engineer
1 day ago
We are looking for a skilled LLM/GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks.
Responsibilities
- Lead the design and development of GenAI/LLM-based products and solutions.
- Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques.
- Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows.
- Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc
- Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents.
- Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends.
- Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals.
Requirements:
- 5+ years of total software development experience with a strong foundation in Python.
- 2–3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment.
- Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc
- Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search.
- Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma).
- Exposure to agent frameworks and multi-agent orchestration.
- Excellent written and verbal communication skills
- Proven ability to lead and mentor team members on technical and architectural decisions.
Natural Abilities
- Smart, self-motivated, responsible and out of the box thinker.
- Detail oriented and powerful analyzer.
- Great writing communication skills.
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