Agent AI Engineer

Required Qualifications

• 3–6+ years of software engineering experience, with at least 2 years focused on AI/ML systems.

• Proficiency in Python; experience with async programming, data structures, and OOP principles.

• Hands-on experience invoking LLM APIs (Anthropic, OpenAI, Google, Cohere, or equivalent).

• Practical knowledge of CrewAI, Google Gemini Enterprise Agents, LangChain, or similar agent frameworks.

• Experience building and deploying RAG pipelines in production environments.

• Working knowledge of at least one vector database (Pinecone, Chroma, Weaviate, Qdrant, pgvector).

• Familiarity with embedding models, semantic similarity, and text representation techniques.

• Experience with REST APIs, microservices architecture, and containerization (Docker, Kubernetes).

• Strong understanding of software engineering practices: version control (Git), testing, and code review.

Preferred Qualifications

• Experience with Google Gemini Enterprise Agents or Vertex AI Agent Builder.

• Familiarity with additional agentic frameworks: AutoGen, LangGraph, Semantic Kernel, or Haystack.

• Knowledge of advanced RAG patterns: HyDE, FLARE, Self-RAG, or agentic RAG.

• Experience with fine-tuning or RLHF processes for domain-specific LLM customization.

• Background in NLP, information retrieval, or data engineering.

• Experience building conversational AI or chatbot systems at scale.

• Familiarity with cloud AI services: AWS Bedrock, Google Vertex AI, or Azure OpenAI Service.

• Contributions to open-source AI/ML projects.