AI Engineer - Tror - Alpharetta, GA, US | Dice.com

Tror

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AI Engineer

Alpharetta, GA, US • Posted 1 hour ago • Updated 1 hour ago

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Tror

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Job Details

Skills

Business Requirements
Artificial Intelligence
Unit Testing
RESTful APIs
Performance Tuning
ReactJS
Infrastructure Management
Application Programming Interfaces (APIs)
Testing Skills
Agile Methodology
Automation of Tests
Continuous Integration
Workflows
Problem Solving
Systems Integration
Java (Programming Language)
Python (Programming Language)
Open Source Technology
Large Language Models
Triage
Backend
Software Engineering
Software Debugging
Innovation
Machine Learning Operations
Generative AI
Multi-Agent Systems
Microsoft Windows
Software Systems
Technology Roadmaps
Operational Excellence
Database Administration
Systems Engineering
Language Modelling
Prompt Engineering
Systems Thinking

Summary

Job Role: AI Engineer

Job Location: Alpharetta, GA (Day 1 onsite) Need Locals

Job Role: Contract

H1b,required

We need 11+years of experience resumes

***Need to attend for Inperson Interview***

Job description:

We are looking for a driven AI Engineer to join our engineering team. In this role, you will focus on building, testing, and deploying autonomous AI agents and multi-agent systems. You will bridge the gap between traditional software engineering and modern Generative AI, working to enable LLMs (Large Language Models) to interact with external tools, APIs, and data sources.

What you'll do

Agent Development & Testing: Perform development activities focused on AI Agents, including designing prompt chains, implementing tool-calling logic (function calling), and conducting unit tests for stochastic AI outputs. Work on projects involving RAG (Retrieval-Augmented Generation) and contribution to agent frameworks.
Performance Optimization: Participate in the estimation process for AI features. Diagnose and resolve specific AI performance issues, such as latency in LLM responses, token usage optimization, and reducing hallucination rates in agentic workflows.
Documentation & Knowledge Sharing: Document agent architectures, prompt templates, and "chains of thought" so that other developers can understand and iterate on the AI logic with minimal effort.
Full-Stack AI Integration: Develop and operate scalable AI applications from the backend logic (Python/Lang Chain) to the API layer, focusing on security (Guardrails) and operational excellence. Ensure agents can reliably execute tasks in a production environment.
Modern AI Practices: Apply modern software and AI engineering practices, including LLMOps, evaluation pipelines (Evals), vector database management, and standard CI/CD/Infrastructure-as-code.
System Integration: Work across teams to integrate AI Agents with existing internal systems, Data Fabric, and third-party APIs to enable agents to perform "actions" rather than just generating text.
Innovation & Agile: Participate in technology roadmap discussions to turn business requirements into functional autonomous agent solutions. Collaborate within a tight-knit engineering team employing agile practices.
Debugging & Triage: Triage product issues related to unpredictable model behaviour. Debug, track, and resolve issues by analysing traces (e.g., Lang Smith, Arize) to understand the root cause of agent failures or loop errors.
Implementation: Able to write, debug, and troubleshoot code in mainstream open-source AI technologies (specifically Python). Lead efforts for Sprint deliverables and solve problems of medium complexity regarding context management and memory.

What experience you need

Bachelor's degree or equivalent experience
2+ years of IT engineering experience
Languages: Proficiency in Python is mandatory. Experience with JAVA is a plus.
Frameworks: Familiarity with Agentic frameworks (e.g., ADK, LangChain, LangGraph).
GenAI Fundamentals: Understanding of how LLMs work, including Context Windows, Temperature, Embeddings, and Vector Stores (e.g., Pinecone, Milvus, Weaviate).
APIs: Experience building and consuming RESTful APIs (assistants interacting with software).

What could set you apart

Prompt Engineering & Optimization: Advanced techniques (Chain-of-Thought, ReAct, Tree of Thoughts).
Cognitive Architectures: Designing memory systems (short-term vs. long-term) for agents.
AI Evaluation: Building automated test suites to grade agent performance.
Systems Thinking: Understanding how non-deterministic AI components fit into deterministic software systems.
Agile Engineering Best Practices.

Thanks Regards,

N Sai AKhil

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91135853
Position Id: 2025-207
Posted 1 hour ago

Company Info

About Tror

TROR is an artificial intelligence consultancy specializing in developing powerful and customized Al solutions for business. With top Al Experts we take pride in providing the best cutting-edge Al consultancy. Our years of experience in various industries helps us to develop and implement bespoke Al solutions for businesses. Our on demand Al products have helped over 100 companies drive transformational results.

The solutions we bring on your table meet the highest industry standards and quality, effectively and efficiently resolving your issues and optimizing the way you want to move forward in the market. Through our customer centric approach, we ensure that we are always there for our valuable customers by offering them satisfactory solutions for guaranteed results.

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