Software/AI Engineer

Pond & Company

Atlanta (GA)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Pond & Company is seeking a Software Engineer to join our growing software development team. You will work across the full software development lifecycle, applying modern AI technologies to solve real‑world business problems and automate workflows.

You will collaborate with a small, highly‑collaborative team to design, develop, test, and deploy software applications and agentic AI systems enhancing internal and external client solutions.

Qualifications

  • Bachelor's degree in a technical field or related discipline.
  • 3+ years of professional software engineering experience.
  • Experience building web apps, APIs, or enterprise software solutions.
  • Experience with relational and/or NoSQL databases.
  • Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
  • Experience with Git and collaborative development workflows.
  • Understanding of OO design and modern software development methodologies.
  • Strong analytical, problem‑solving and debugging skills.
  • Excellent communication within a collaborative team.

Responsibilities

  • Design, develop, test, deploy, and maintain scalable software applications.
  • Collaborate with AI engineers and stakeholders to translate requirements into technical solutions.
  • Support AI-enabled software solutions and workflows.
  • Contribute to AI agent workflows and integrations with cloud services.
  • Develop and optimize RAG pipelines, vector databases, and prompt engineering tasks.
  • Write clean, testable code following best practices and perform code reviews.
  • Participate in agile ceremonies and support CI/CD pipelines and DevOps practices.
  • Stay current on emerging AI technologies and best practices.

Skills

Communication
Analytical thinking
Problem solving
Team collaboration
Time management
Agile/Scrum experience

Education

Bachelor's degree in Computer Science or related field

Tools

Git
Cloud platforms (Azure/AWS/GCP)
Docker
Kubernetes
CI/CD

Job description

We are seeking a talented Software Engineer to join our growing software development team. This role is ideal for an engineer with a strong software engineering foundation who is excited about applying modern AI technologies to solve real-world business problems. The successful candidate will work closely with a small, highly collaborative team to design, develop, test, and deploy software applications and next-generation agentic AI systems that improve business processes, automate workflows, and create innovative solutions for internal and external clients.

This position offers the opportunity to work across the full software development lifecycle while gaining hands‑on experience with emerging AI technologies, including large language models (LLMs), AI agents, retrieval‑augmented generation (RAG), and intelligent workflow automation. Candidates who are passionate about continuous learning, software craftsmanship, and building practical AI‑enabled solutions will thrive in this role.

Responsibilities
  • Design, develop, test, deploy, and maintain scalable software applications using modern programming languages and development frameworks
  • Collaborate with software engineers, AI engineers, product stakeholders, and business users to translate requirements into high‑quality technical solutions
  • Support the development and implementation of AI‑enabled software solutions, including agentic AI applications, intelligent automation, and generative AI capabilities
  • Contribute to the design, development, and continuous improvement of AI agents and multi‑agent workflows that automate business processes and enhance decision‑making
  • Integrate AI models, APIs, and cloud‑based AI services into existing and new software platforms
  • Assist with the development of retrieval‑augmented generation (RAG) pipelines, vector databases, prompt engineering, and orchestration frameworks as needed
  • Write clean, maintainable, well‑documented, and testable code following software engineering best practices
  • Participate in code reviews, design discussions, and technical planning sessions
  • Troubleshoot software defects, identify root causes, and implement effective solutions
  • Support DevOps practices, CI/CD pipelines, version control, and automated testing processes
  • Stay current on emerging software engineering trends, AI technologies, and industry best practices, recommending new tools and approaches where appropriate
  • Work effectively within an agile development environment, contributing to sprint planning, daily stand‑ups, retrospectives, and continuous improvement initiatives
  • Support the ongoing enhancement, maintenance, and optimization of existing software applications and AI systems
Qualifications & Requirements
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field
  • 3+ years of professional software engineering or software development experienc
  • Experience developing web applications, APIs, or enterprise software solution
  • Experience working with relational and/or NoSQL database
  • Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platfor
  • Experience with Git, source control management, and collaborative development workflow
  • Understanding of software architecture, object‑oriented design principles, and modern software development methodologie
  • Strong analytical, problem‑solving, and debugging skill
  • Excellent communication skills and ability to work effectively within a collaborative team environment
Preferred Qualifications
  • Experience developing or integrating AI‑enabled application
  • Exposure to Large Language Models (LLMs), agentic AI systems, generative AI, or machine learning application
  • Experience with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar AI orchestration framework
  • Familiarity with retrieval‑augmented generation (RAG), vector databases, embeddings, or prompt engineering
  • Experience consuming AI APIs from providers such as OpenAI, Anthropic, Google, or Azure OpenA
  • Experience building AI‑powered automation tools or intelligent workflow solution
  • Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud‑native application development
  • Experience working in Agile/Scrum software development environments
Knowledge, Skills & Attributes
  • Passion for developing innovative software solutions using modern engineering practices
  • Curiosity and enthusiasm for learning rapidly evolving AI technologies
  • Ability to balance experimentation with disciplined software engineering practices
  • Strong collaboration skills with both technical and non‑technical stakeholders
  • Self‑motivated with excellent organizational and time management abilities
  • Ability to adapt quickly in a fast‑paced, startup‑like engineering environment
  • Commitment to producing high‑quality, maintainable, and secure software solutions
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