AI Agent Software Engineer

**About the Role** We're looking for a Software Engineer specializing in AI agent development to design, build, and deploy autonomous and semi\-autonomous AI systems. You'll work at the intersection of large language models, tool use, and software engineering to create agents that can reason, plan, and execute complex tasks. **Responsibilities** * Design and develop AI agents using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or the Anthropic/OpenAI SDKs * Build multi\-agent systems with orchestration, memory, and tool\-use capabilities * Integrate LLMs (Claude, GPT, Llama, etc.) with external APIs, databases, vector stores, and MCP servers * Implement RAG (Retrieval\-Augmented Generation) pipelines using vector databases like Pinecone, Weaviate, Chroma, or pgvector * Develop and optimize prompts, system instructions, and agent workflows * Build evaluation harnesses to test agent reliability, accuracy, and safety * Implement guardrails, observability, and monitoring for agents in production * Collaborate with product, design, and ML teams to translate requirements into agent capabilities * Handle latency, cost optimization, token usage, and model selection trade\-offs * Stay current with rapidly evolving AI tooling and best practices **Required Qualifications** * 3\+ years of professional software engineering experience * Strong proficiency in Python (and ideally TypeScript/JavaScript) * Hands\-on experience building applications with LLM APIs (Anthropic, OpenAI, Google, or open\-source models) * Experience with at least one agent framework (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, etc.) * Understanding of prompt engineering, function/tool calling, and structured outputs * Experience with RAG systems and vector databases * Familiarity with async programming, API design, and microservices * Solid understanding of software engineering fundamentals: testing, version control, CI/CD **Preferred Qualifications** * Experience deploying agents to production at scale * Knowledge of Model Context Protocol (MCP) and tool integration patterns * Background in ML/NLP or fine\-tuning techniques (LoRA, RLHF basics) * Experience with evaluation frameworks (LangSmith, Braintrust, custom evals) * Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) * Contributions to open\-source AI projects * Understanding of AI safety, alignment, and responsible AI practices **Tech Stack You'll Work With** * Python * TypeScript * FastAPI * LangGraph * Anthropic/OpenAI SDKs * vector databases * PostgreSQL * Redis * Docker * AWS/GCP * observability tools (Langfuse, Helicone, etc.) Work Location: Remote