Senior AI/ML Engineer

• 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.

• →GenAI Solution Development: Design, develop, and optimize GenAI solutions using LLMs (OpenAI, Claude, open-source models, etc.).
• →Prompt Engineering & Optimization: Build and fine-tune prompt engineering pipelines
• →RAG System Development: Develop RAG (Retrieval-Augmented Generation) systems
• →Agent Workflow Architecture: Design and implement multi-step agent workflows using frameworks like LangChain, LangGraph, or similar
• →Autonomous Agent Development: Build autonomous agents capable of tool usage, reasoning, and decision-making
• →API & Tool Integration: Integrate APIs, vector databases, and external tools into agent pipelines
• →Performance Optimization & Debugging: Debug and optimize agent behavior for reliability and scalability
• →Machine Learning Model Development: Develop and deploy ML models where required
• →Data Processing & Feature Engineering: Perform data preprocessing, feature engineering, and dataset validation
• →Embeddings & Vector Database Management: Work with embeddings, vector databases (Milvus, Pinecone, Weaviate, etc.)

A Culture of Belonging: At our core, we value diversity and inclusion. As an equal opportunity employer, we are dedicated to creating a workplace where every voice is heard, every person is respected, and everyone has the opportunity to succeed.