Website:
3itechglobal.com
Job details:
Position Overview
We are seeking a highly experienced Forward Deployed Engineer (FDE) who is passionate
about building modern, scalable software solutions that solve complex business problems. This
role partners closely with business stakeholders to understand business needs, design innovative
technology solutions, and deliver enterprise-grade applications that drive measurable business
outcomes.
The successful candidate will be a hands-on software engineer with strong full-stack
development expertise, experience working directly with business users, and the ability to lead
technical delivery across cross-functional teams. The ideal candidate enjoys solving ambiguous
problems, rapidly prototyping solutions, and transforming successful concepts into secure,
scalable production applications.
Key Responsibilities
• Partner with business stakeholders to understand business processes, identify
opportunities for automation, and translate business needs into scalable technical
solutions.
• Design, develop, deploy, and support enterprise applications using modern backend and
frontend technologies.
• Build REST APIs, backend services, data integration solutions, and cloud-native
applications.
• Develop proof-of-concepts and rapidly iterate solutions based on business feedback
before production deployment.
• Build AI-powered applications leveraging Large Language Models (LLMs), Retrieval-
Augmented Generation (RAG), intelligent assistants, and workflow automation.
• Collaborate with Product Managers, Business Analysts, Architects, Data Engineers, and
Software Engineers throughout the software development lifecycle.
• Ensure applications meet enterprise standards for scalability, security, performance, and
maintainability.
• Mentor engineers, perform code reviews, and contribute to architecture and engineering
best practices.
• Coordinate technical delivery across distributed engineering teams.
• Create technical documentation and effectively communicate solution designs,
implementation approaches, and project status to technical and business stakeholders.
Required Qualifications
Education
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a
related discipline.
• Master's degree preferred.
Must Have
• 10+ years of software engineering experience developing enterprise applications.
• Strong hands-on programming experience with Python.
• Experience developing modern web applications using React and/or Next.js.
• Experience designing and developing REST APIs and microservices.
• Experience working with cloud platforms (AWS preferred).
• Experience working with enterprise databases and data platforms such as Snowflake,
Databricks, PostgreSQL, Microsoft SQL Server, or equivalent technologies.
• Experience designing scalable, secure, and maintainable enterprise applications.
• Strong understanding of software architecture, SDLC, CI/CD, and Agile development
methodologies.
• Proven experience working directly with business stakeholders to understand
requirements and deliver business-focused technology solutions.
• Experience providing technical leadership, mentoring engineers, and collaborating with
globally distributed development teams.
• Prior experience working within Financial Services is mandatory.
• Excellent communication, stakeholder management, and problem-solving skills.
Good to Have
• Experience building AI-powered enterprise applications using Large Language Models
(LLMs).
• Experience with LangChain, LlamaIndex, Semantic Kernel, or similar AI
orchestration frameworks.
• Experience implementing Retrieval-Augmented Generation (RAG) solutions.
• Experience with enterprise AI platforms such as AWS Bedrock, Azure
OpenAI, Anthropic Claude, or similar technologies.
• Experience building intelligent automation or AI agent workflows.
• Experience working with vector databases and semantic search technologies.
• Experience with streaming and event-driven architectures.
• Experience in Private Equity, Asset Management, Investment Banking, Capital
Markets, or other investment-focused financial institutions.
• Experience in an embedded engineering, consulting, or forward-deployed delivery model.
• Experience contributing to enterprise AI governance and responsible AI implementation.
Technical Skills
Programming & Frameworks
• Python
• React
• Next.js
• REST APIs
• Microservices
Data & Cloud
• AWS
• Snowflake
• Databricks
• PostgreSQL
• Microsoft SQL Server
AI & Modern Engineering
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• LangChain
• LlamaIndex
• AWS Bedrock
• Anthropic Claude
• Vector Databases
• Prompt Engineering
Tools & Practices
• Git
• CI/CD
• Agile / Scrum
Click on Apply to know more.