Job Title: Software Engineer
Duration: 6 Months (CTH)
Location: Coppell, TX / Tampa, FL / Jersey City, NJ – Hybrid

Job Description

Software Engineering

• 5–8 years of professional software development experience.
• Strong programming skills in Python and/or Java, SQL.
• Experience building scalable, maintainable, and production-grade applications.
• Strong understanding of:
  • REST APIs
  • Microservices
  • Event-driven architecture
  • Databases
  • Git-based development
  • Automated testing
  • CI/CD pipelines
• Strong knowledge of software design principles and architectural patterns.

Generative AI & Large Language Models

• Hands-on experience building applications using Generative AI and LLM technologies.
• Experience with prompt engineering and structured LLM interactions.
• Knowledge of:
  • Retrieval Augmented Generation (RAG)
  • Embeddings
  • Vector search and vector databases
  • Context management and grounding techniques
• Experience integrating LLMs through APIs and SDKs.
• Experience with at least one cloud AI platform such as:
  • AWS Bedrock
  • Snowflake Cortex

Agentic AI Development

• Hands-on experience designing and implementing AI agents and agentic workflows.
• Strong understanding of:
  • Planning and task decomposition
  • Tool and function calling
  • Multi-agent systems
  • Memory and context management
  • Human-in-the-loop workflows
  • Agent orchestration
  • Reflection and validation patterns
  • Error handling and recovery strategies
• Experience with agent orchestration technologies.
• Experience building agents that integrate with enterprise applications, APIs, databases, and developer tools.

AI-Assisted Development

• Minimum 2 years of practical experience using AI-powered development assistants.
• Strong hands-on experience with Kiro and Claude for software development.
• Demonstrated ability to effectively use AI assistants for:
  • Requirements analysis
  • Specification Generation
  • Solution architecture
  • Code generation
  • Refactoring
  • Test generation
  • Debugging
  • Documentation
  • Code reviews
  • Developer productivity automation
• Proven ability to validate and enhance AI-generated code rather than relying solely on generated outputs.

Preferred Qualifications

• Experience with Model Context Protocol (MCP) and MCP server/tool development.
• Experience with AWS services such as:
  • Bedrock
  • EC2
  • S3
• Experience with vector databases and enterprise search technologies.
• Knowledge of observability and evaluation frameworks for LLM and agent-based applications.
• Experience implementing AI security, governance, and responsible AI practices.
• Experience building enterprise data and analytics solutions.
• Experience working in Agile/Scrum environments.

What We Are Looking For

• A strong hands-on engineer who can build and deliver production-ready solutions.
• Ability to translate business challenges into practical AI-powered solutions.
• Strong understanding of both traditional software engineering and modern AI development approaches.
• Ability to determine when an AI agent is appropriate versus a conventional software solution.
• Exceptional problem-solving, analytical, and debugging skills.
• Self-starter with strong ownership and accountability.
• Comfortable working in a rapidly evolving AI ecosystem.
• Excellent communication, collaboration, and stakeholder management skills.
• Demonstrated ability to improve engineering productivity through AI-assisted development while maintaining high standards for quality, security, and reliability.

Education, Training &/or Certification

• Bachelor’s degree (or higher) in a technical discipline (e.g. Comp Sci or Engineering).