Full Stack Engineer

Status: Must be legally eligible to work where you live. Resume must be in English

Location: Remote - some travel to Atlanta, GAEngagement: Contract, Long Term, Full TimeAbout the RoleWe 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 at the intersection of cloud infrastructure, modern AI frameworks, and production-grade software engineering — owning the full lifecycle from prototype to deployment. This is a high-impact, individual-contributor role for someone who is passionate about autonomous AI systems 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 backend services and agent orchestration layers using Node.js and Python. 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.

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.

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. AWS certifications (e.g., AWS Certified Machine Learning — Specialty) are a plus.

What We're Looking For: 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.