AI Application Engineer

Posted 2 Months Ago
Be an Early Applicant
11 Locations
Remote
Mid level
Information Technology • Professional Services • Software
The Role
Design and implement agent frameworks and orchestration for enterprise clients, integrating LLMs, retrieval, tools, and APIs. Build multi-step reasoning, evaluate agent performance, maintain reusable reasoning templates, and guide engineering teams on orchestration best practices while collaborating with clients.
Summary Generated by Built In

We are looking for an AI Application Engineer based in Latin America to work on a long-term project for one of our clients, a Software Development company based in Atlanta, Georgia.

Our client is building a secure, bank-grade AI infrastructure and developing cutting-edge applications designed to power the next generation of modern banking and financial services.

The person in this role will be responsible for designing, creating, and improving AI agents and orchestration for our client’s customers.

Responsibilities

  • Architect agent frameworks capable of reasoning across multiple steps and data sources.
  • Collaborate directly with enterprise clients to understand reasoning needs, workflows, and tool integration requirements.
  • Design planning and decision-making loops that integrate retrieval, tool use, and external APIs.
  • Implement strategies for multi-hop reasoning, synthesis, and constraint-based problem-solving.
  • Ensure retrieval outputs are structured for optimal reasoning use.
  • Evaluate agent performance across reasoning benchmarks, accuracy metrics, and task completion rates.
  • Guide engineering teams on agent orchestration platforms and best practices.
  • Maintain playbooks and reusable reasoning templates for client-specific workflows.


Requirements

  • Advanced Level of English.
  • 4+ years of experience working with Python.
  • 2+ years of experience designing and deploying agentic AI systems or complex orchestration flows.
  • 2+ years of experience working with agent frameworks (LangChain, PydanticAI, AutoGen, Semantic Kernel).
  • Deep understanding of reasoning patterns (e.g., chain-of-thought, self-critique, reflection loops).
  • Strong grasp of LLM integration patterns with tools, APIs, and knowledge bases.
  • Ability to translate client problem requirements into modular reasoning flows.
  • Excellent communication skills for cross-functional and client-facing collaboration.

Bonus Points

  • Bachelor’s Degree in Computer Science, Systems Engineering or related fields.

What we offer

  • Long term positions
  • Compensation in USD
  • Paid time off
  • Cool clients and products
  • Work with great engineers

4tech

Skills Required

  • Advanced Level of English
  • 4+ years of experience working with Python
  • 2+ years designing and deploying agentic AI systems or complex orchestration flows
  • 2+ years working with agent frameworks (LangChain, PydanticAI, AutoGen, Semantic Kernel)
  • Deep understanding of reasoning patterns (chain-of-thought, self-critique, reflection loops)
  • Strong grasp of LLM integration patterns with tools, APIs, and knowledge bases
  • Ability to translate client problem requirements into modular reasoning flows
  • Excellent communication skills for cross-functional and client-facing collaboration
  • Bachelor's Degree in Computer Science, Systems Engineering or related fields
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The Company
119 Employees
Year Founded: 2017

What We Do

Prediktive is a technology business partner and engineering services company that helps tech-enabled companies build and scale digital products. It provides software product development execution, engineering talent, and global remote support for startups, midsize businesses, and enterprises. Established in Silicon Valley, the company works across fields and time zones, connecting qualified professionals with client projects and helping organizations grow with confidence.

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