AI Full Stack Engineer

Job Description — AI Engineer About the Role We are looking for a hands-on AI Full Stack Engineer to join our growing AI Center of Excellence. In this role, you will design, build, and operationalize intelligent AI agents and LLM-powered solutions that drive real business impact. You will work across the full stack — from cloud infrastructure and backend services to front-end interfaces and AI frameworks — owning the complete lifecycle from prototype to production deployment. This is a high-impact, individual-contributor role for someone who is equally comfortable building a React UI, designing a Python agent pipeline, and deploying it all on AWS — and has the scars to prove it. Key Responsibilities • Design and develop AI agents — including autonomous, multi-step, and tool-using agents — using AWS Bedrock and leading agentic frameworks. • Build, fine-tune, and integrate Large Language Models (LLMs) and Small Language Models (SLMs) into production workflows. • Develop full stack applications — from responsive front-end UIs to backend services and agent orchestration layers — using Node.js, Python, and modern front-end frameworks. • Implement agent monitoring, observability, and evaluation pipelines using tools such as Fiddler AI and comparable platforms. • Collaborate with product and engineering teams to translate business requirements into robust AI-powered features. • Establish best practices for responsible AI, prompt engineering, model evaluation, and agent safety. • Continuously evaluate emerging models, frameworks, and tooling to keep the platform at the cutting edge. • Contribute to internal documentation, architecture reviews, and knowledge sharing across the team. Required Qualifications Cloud & Infrastructure • AWS Bedrock — hands-on experience building and deploying models and agents on the Bedrock platform (foundation model access, Knowledge Bases, Agents for Bedrock). • Familiarity with broader AWS ecosystem (Lambda, S3, IAM, API Gateway, etc.). Agent Development • Proven, hands-on experience building AI agents — including autonomous agents, tool-calling agents, ReAct / plan-and-execute patterns, and multi-agent orchestration. • Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or AWS Bedrock Agents. • Strong understanding of agent memory, context management, and tool use. Languages & Frameworks • Python — proficient; used for ML pipelines, agent logic, data processing, and scripting. • Node.js — proficient; used for API development, backend services, and agent integration layers. • Front-end — working knowledge of a modern front-end framework (React, Next.js, or Vue) to build AI-powered user interfaces and chat/agent experiences. LLM / SLM Expertise • Hands-on experience working with Large Language Models (e.g., Claude, GPT-4, Llama, Mistral) and Small Language Models (e.g., Phi-3, Gemma, Mistral 7B). • Practical knowledge of prompt engineering, few-shot learning, RAG (Retrieval-Augmented Generation), and fine-tuning workflows. Monitoring & Observability • Experience with Fiddler AI or comparable agent/model monitoring tools (e.g., LangSmith, Arize, Weights & Biases, Helicone). • Ability to define and track agent performance metrics: accuracy, latency, hallucination rate, tool-call success, and cost. Preferred Qualifications • Experience with vector databases (Pinecone, pgvector, OpenSearch, Weaviate) for semantic search and RAG pipelines. • Familiarity with MLOps practices — CI/CD for models, model versioning, A/B evaluation. • Exposure to multi-modal models (vision + language). • Prior work in an AI product or platform team at scale, ideally in a full stack capacity. • Experience integrating AI capabilities (streaming responses, tool calls, agent UIs) into front-end applications. • AWS certifications (e.g., AWS Certified Machine Learning — Specialty) are a plus. What We're Looking For Trait What it means here Hands-on builder You write code, ship agents, and debug production issues — not just architect on whiteboards. Curiosity-driven You stay current with the fast-moving AI landscape and bring new ideas to the team. Ownership mindset You take a feature from idea to production and care about it long after launch. Clear communicator You can explain complex AI behavior to non-technical stakeholders without dumbing it down. Why Join Us • Work on cutting-edge agentic AI systems that are deployed at enterprise scale. • Be part of the AI Center of Excellence — a team dedicated to pushing the boundaries of what AI can do inside and outside the organization. • Collaborative, low-ego culture with a strong bias for shipping. • Competitive compensation, flexible work arrangements, and continuous learning support. *CirrusLabs is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.*