Quick Overview
Job Description
Job Role: Forward Deployed Engineer
Experience: 10+ Years
Location: NY/ NJ/ Delaware/ Colomb Plano/ Houston / Chicago
Visa: Except GC
Job Description:
• Strong knowledge of AWS, Bedrock and Java is mandatory, Client operates primarily on AWS and Java, this is a key requirement.
• Banking domain experience is mandatory.
• Work with frontier foundation models (LLMs, multimodal models) and enterprise approved model stacks
• Perform context engineering:
- Prompt design and prompt chaining
- Tool grounding and retrieval augmented generation (RAG)
- Knowledge graph and memory integration
• Exposure to AI governance, model risk, and compliance frameworks
• Prior experience in customer facing engineering roles (FDE, Solutions Engineer, Field Engineer)
• Experience contributing to platform blueprints, accelerators, or internal frameworks
• Experience with CI/CD pipelines, infrastructure as code, and cloud platforms
• Understanding of DevSecOps and automated control enforcement
• Familiarity with MLOps concepts for model lifecycle and monitoring
• Practical experience using Cursor, GitHub Copilot, or similar AI coding tools
• Familiarity with AI assisted testing, documentation, and code review
• Ability to design AI first developer workflows
• Hands on experience with agentic AI frameworks and orchestration patterns (n8n, LangGraph, Semantic Kernel, CrewAI, etc.)
• Experience working with LLMs / foundation models in enterprise settings (Claude, Gemini, OpenAI)
• Strong skills in prompt engineering, context engineering, and tool integration
• Understanding of RAG, memory systems, and knowledge grounding
• Spec driven development - Architecture, Security and Application frameworks.
• Strong background in software engineering (backend, APIs, distributed systems)
• Experience building production grade cloud native platforms/applications
• Proficiency in at least one modern programming language (Python, Java, Go, or similar)
• Solid understanding of system design, scalability, and reliability
• Skilled in hyperscale platforms (AWS, Google Cloud Platform, Azure, OpenShift)
• Leverage AI assisted development tools to accelerate delivery: o Cursor, o GitHub Copilot, o AI assisted testing, code review, and refactoring tools.
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