Forward Deployed Engineer (FDE)

Job Description

• Work hands-on with Product, Architecture, Engineering, QA, and UX teams to operationalize AI-DLC practices.
• Enable Mob Construction, AI-assisted development, prompt engineering, and context-driven delivery.
• Establish reference architectures, AI coding standards, reusable prompts, and semantic knowledge assets.
• Coach teams on validation frameworks, AI quality practices, and human-in-the-loop controls.
• Support brownfield semantic modeling and legacy system knowledge extraction.
• Introduce AI engineering toolchains, evaluation pipelines, and MLOps/LLMOps practices.
• Capture delivery learnings and convert them into reusable best practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field
• 8+ years of software engineering, architecture, QA, DevOps, or platform engineering experience
• Hands-on experience delivering cloud-native and enterprise applications
• Experience with AI-assisted development tools and modern software engineering practices
• Strong coding and solution architecture background
• Preferred: Experience with LLMs, Agentic AI, RAG, semantic search, or AI platform
• Preferred: AWS/Azure/GCP certifications
• Preferred: Experience in AI platform engineering and MLOps/LLMOps
• Preferred: Financial Services domain experience

Technical & Soft Skills

• Prompt engineering and context engineering
• Python, Java, JavaScript, or modern cloud development stack
• DevOps, CI/CD, GitHub, GitHub Copilot, Cursor, Replit, etc.
• GenAI platforms and LLM integration, MLOps / LLMOps
• Semantic modeling and knowledge graph concepts
• Coaching and mentoring experience
• Collaboration across cross-functional teams
• Strong verbal and written communication