Job Description

We are seeking a highly motivated GenAI / LLM Engineer with 1–3 years of experience to design, develop, and optimize cutting-edge generative AI solutions. The ideal candidate will have hands-on experience building end-to-end GenAI systems, including LLM-based applications, prompt engineering pipelines, RAG architectures, and multi-step autonomous agent workflows. This role requires strong problem-solving skills, practical experience with modern AI frameworks, and the ability to integrate APIs, vector databases, and external tools to build scalable and reliable AI systems.

KEY RESPONSIBILTIES:

• Design, develop, and optimize GenAI solutions using LLMs (OpenAI, Claude, open-source models, etc.)
• Build and fine-tune prompt engineering pipelines
• Develop RAG (Retrieval-Augmented Generation) systems
• Design and implement multi-step agent workflows using frameworks like LangChain, LangGraph, or similar
• Build autonomous agents capable of tool usage, reasoning, and decision-making
• Integrate APIs, vector databases, and external tools into agent pipelines
• Debug and optimize agent behavior for reliability and scalability
• Develop and deploy ML models where required
• Perform data preprocessing, feature engineering, and dataset validation
• Work with embeddings, vector databases (Milvus, Pinecone, Weaviate, etc.)

QUALIFICATIONS, SKILLS AND EXPERIENCE:

• 1–3 years of experience in AI/ML development or related software engineering roles
• Hands-on experience building at least one end-to-end GenAI or LLM-based project
• Experience with LangChain / LangGraph / LLM orchestration frameworks
• Understanding of LLMs, prompt engineering, RAG architectures
• Familiarity with REST APIs and microservices
• Basic knowledge of ML fundamentals (supervised/unsupervised learning)
• Strong logical reasoning and debugging capabilities
• Ability to break down complex problems into structured solutions