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Software Engineer

Job Location:

Jersey, NJ - USA

Hourly Salary: USD 70 - 75

Posted: 28 October 2026 (11 hours ago)

Application Deadline: 25 January 2027

Vacancies: 1 Vacancy

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

Job Description

Software Engineering

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.