Senior Agentic AI Engineer

ImagineX Consulting; United States; À distance; USD 150 000 - 190 000; Plein temps

Résumé du poste

ImagineX Consulting is seeking a Senior AI Software Engineer to design, build, and deploy production-grade agentic AI systems. You will architect autonomous multi-agent pipelines, implement memory and tool-use loops, and optimize latency and cost in enterprise environments.

The role is fully remote in the United States, offering high autonomy and leadership in shaping AI initiatives and client strategy. Required expertise spans Python, agentic frameworks, LLM tooling, and secure tool integration.

Qualifications

• Expert-level Python engineering with production-grade systems.
• Direct experience building agentic AI frameworks and productionizing them.
• Strong understanding of LLM tooling, function calling, and multi-step reasoning.

Responsabilités

• Design, build, and deploy autonomous agent systems and orchestration pipelines.
• Implement tool-use reasoning loops, memory architectures, and stateful components.
• Integrate enterprise tools, databases, and external execution environments securely.
• Develop production guardrails, observability, and HITL pathways for reliability.

Connaissances

Python

Async systems

Agentic AI

Production experience

Leadership

Formation

BS in CS

MS preferred

Outils

LangChain

LangGraph

AutoGen

LlamaIndex

Pinecone

Weaviate

Qdrant

Description du poste

ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.

We are seeking a Senior AI Software Engineer with deep hands‑on experience designing, building, and deploying Agentic AI systems in production. This is not an “AI-curious” or purely experimental role—we are looking for a practitioner who has shipped autonomous agentic architectures, understands the complex realities of productionizing LLM‑driven workflows (reasoning loops, state management, tool‑use orchestration, and guardrails), and can directly shape both technical and product direction.

100% Remote (Full-Time)

Key Responsibilities

1. Agentic System Architecture & Orchestration

• Design, build, and deploy production‑grade autonomous agent systems, multi‑agent frameworks, and stateful orchestration pipelines in Python.
• Implement tool‑use reasoning loops, dynamic planning, function‑calling patterns, and memory architectures (short‑term, long‑term, semantic memory).
• Evaluate, benchmark, and integrate state‑of‑the‑art foundation models (OpenAI, Anthropic, open‑weight models) with a focus on latency, cost, determinism, and reasoning capabilities.

1. Enterprise Integration & Tool Capabilities

• Connect autonomous agents securely to enterprise tools, databases, APIs, and external execution environments.
• Build robust retrieval pipelines, hybrid search systems, and vector databases to supply real‑time context to agentic workflows.

1. Productionization, Reliability & Observability

• Implement evaluation frameworks (evals), guardrails, tracing, and observability to monitor agent behavior, handle edge cases, prevent hallucinations, and ensure deterministic outputs in production.
• Design fallback mechanisms, human‑in‑the‑loop (HITL) execution paths, and retry logic for high‑reliability enterprise environments.

1. Technical Leadership & Client Strategy

• Own the end‑to‑end technical direction for AI initiatives, translating complex business challenges into production‑ready agentic architectures.
• Partner with client leaders and internal engineering teams to shape product roadmaps for enterprise AI execution.
• Lead rapid prototyping and continuous experimentation to validate novel agent capabilities before scaling.

Required Experience & Skills

• Core Python Engineering: Expert‑level Python skills with a track record of building scalable, asynchronous, production‑grade systems.
• Agentic AI & Orchestration: Direct experience building and productionizing agentic frameworks (e.g., LangChain/LangGraph, AutoGen, CrewAI, LlamaIndex, or custom in‑house agent loops).
• LLM Tooling & Function Calling: Strong understanding of structured outputs, JSON mode, tool calling, multi‑step reasoning, and context window management.
• Retrieval & Memory Architectures: Hands‑on experience with vector search engines (Pinecone, Qdrant, Weaviate, pgvector), embeddings, and RAG/advanced memory retrieval patterns.
• Production Guardrails & Evals: Practical experience evaluating agent performance, tracking telemetry (e.g., LangSmith, Phoenix, Weights & Biases), and implementing safety guardrails.
• High‑Autonomy Execution: Ability to navigate ambiguity, drive technical strategy, and deliver end‑to‑end features independently.

Nice-to-Have Experience

• Multi‑Agent Collaboration: Experience building systems where specialized agents collaborate, delegate, or critique outputs hierarchically.
• Cloud‑Native & Distributed Systems: Experience with event‑driven architectures, serverless functions, and cloud platforms (Azure AI, AWS Bedrock, GCP Vertex AI).
• Enterprise Security: Understanding of RBAC, data privacy, and secure execution sandboxes for code‑interpreter agents.

_ This role is based in the US and only open to citizens and permanent residents of the US who do not require visa sponsorship. _