GenAI Software Engineer (Forward Deployed) - Remote

Baanyan Software Services, Inc.

Rockville (MD)

Hybrid

USD 96,000 - 124,000

Full time

2 days ago
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Job summary

Baanyan Software Services, Inc. in Rockville, MD, seeks a technically accomplished Software Engineer with a passion for GenAI to identify, develop, and implement AI-driven solutions within the software development lifecycle.

The role requires hands-on experience with GenAI tools and the ability to advise on AI adoption across projects. You will collaborate with Enablement teams, engineers, and customers to prototype, validate, and integrate AI-enabled SDLC solutions, translate complex AI

Qualifications

  • 5+ years SDLC experience with Agile, DevOps, CI/CD, version control, testing, and deployment practices.
  • Hands-on software development experience with coding proficiency.
  • Experience integrating AI tools into SDLC and working with cross-functional teams.

Responsibilities

  • Collaborate with Enablement team, engineers, and customers to identify needs and develop AI-driven SDLC solutions.
  • Prototype and validate AI-driven solutions as tools evolve.
  • Communicate architectural decisions clearly to technical and non-technical stakeholders.

Skills

SDLC expertise
Agile methodologies
DevOps
CI/CD pipelines
Git version control
Testing strategies
Deployment practices
Software development
AI integration in SDLC
AI tool familiarity

Tools

AWS Kiro CLI

Job description

Location: Rockville, MD (mostly remote – 2 days onsite per month)

Duration: 6-month base contract; long-term extensions

Interview: 1 virtual; 1 final onsite F2F interview

Must attend a final round in-person interview in Rockville, MD.

Job Description:

Technically accomplished Software Engineer with a passion for GenAI technologies who will identify, develop, and implement AI-driven solutions within Client’s software development lifecycle. This role requires hands-on experience with GenAI tools, strong engineering judgment to discern high-value automation opportunities, and the ability to serve as a technical advisor on AI implementation. The ideal candidate combines deep software engineering expertise with excellent communication and presentation skills to effectively collaborate with cross-functional teams and drive adoption of AI-enhanced development practices across the organization through training, workshops and community building.

Core Responsibilities / AI Enablement & Solution Development

  • Collaborate with Enablement team, Engineers, and customers to identify needs and develop AI-driven SDLC solutions
  • Prototype and validate solutions as AI tools and processes evolve throughout the year
  • Demonstrates strong engineering taste and product judgment—discerning what to build (which automations truly add value), how to build it (balancing simplicity with sophistication), and the ability to communicate these decisions with clarity to both technical and non-technical stakeholders.
  • Apply problem-solving skills to address technical challenges in AI tool adoption and integration
  • Bridge the gap between emerging AI capabilities and practical implementation in Client’s SDLC
  • Rapidly incorporate new solutions into training materials and delivery as they are developed
  • Serve as technical advisor on AI tool selection, implementation patterns, and best practices

Required Skills / Technical Knowledge & Development Background

  • 5+ years Strong SDLC expertise including Agile, DevOps, CI/CD pipelines, version control (Git), testing strategies, and deployment practices
  • Developer background with hands-on software development experience and coding proficiency
  • AI integration in SDLC including AI-powered development tools (eg: AWS Kiro cli)
  • Capability to identify and correct low-quality AI-generated content
  • Solution development experience working with cross-functional teams to build and implement technical solutions
  • Deep understanding of development tools, cloud technologies, and deployment platforms
  • Advanced problem-solving skills to troubleshoot complex technical challenges and design innovative solutions
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