Full Stack Engineer

Pinnacle Talent Placement; United States; A distancia; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

Pinnacle Talent Placement is seeking a hands-on AI Full Stack Engineer to join our AI Center of Excellence. You will design, build, and operationalize autonomous AI agents and LLM-powered solutions that drive real business impact, working at the intersection of cloud infrastructure and production‑grade software.

This role emphasizes end-to-end ownership from prototype to deployment, collaboration with product and engineering teams, and a strong focus on responsible AI, model evaluation, and

Descripción del empleo

Status: Must be legally eligible to work where you live.

Resume must be in English

Location: Remote - some travel to Atlanta, GA

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 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.

Required Qualifications

3+ years of professional software engineering experience, including hands‑on experience building AI/LLM‑powered applications.

• 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.

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.