We are looking for an experienced AI/ML Engineer with strong expertise in LangChain, RAG architectures, vector databases, and multi-agent systems. The role involves building intelligent pipelines, optimizing LLM workflows, and developing predictive models using Python.
- Design and implement multi-agent architectures using LangChain
- Build autonomous agent systems with secure data and SQL access
- Develop agent orchestration workflows for complex operations
- Implement Retrieval-Augmented Generation (RAG) pipelines
- Design embedding strategies and vector database structures for efficient retrieval
- Optimize retrieval quality, context windows, and model responses
- Build predictive models related to performance analytics and scoring
- Create models & Develop algorithms for business
- Craft and optimize prompts for LLM-based features and automations
- Implement few-shot, chain-of-thought, and structured prompting techniques
- Evaluate, test, and iterate on prompt performance across different use cases
Requirements
- Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related field
- 3+ years of experience in AI/ML engineering with hands-on LLM development
- Strong proficiency in Python
- Experience with TensorFlow, PyTorch, or scikit-learn
- Practical experience with LangChain, LlamaIndex, or similar LLM frameworks
- Experience designing and deploying RAG systems
- Hands-on experience with vector databases such as Pinecone, Weaviate, or Opensearch
- Strong understanding of transformer architectures and modern LLM capabilities
Preferred Qualifications
- Experience working with cloud-based AI/ML services
- Experience developing multi-agent or agentic workflows
- Familiarity with model deployment, monitoring, and MLOps practices
Work Location: Remote
