FORWARD DEPLOYED ENGINEER

Bestinfo Systems LLC; Texas; Remote; USD 170,000 - 230,000; Full time

Benefits offered by this job

Fully remote within the United States

Job summary

Bestinfo Systems LLC seeks a Forward Deployed Engineer with 10+ years of professional experience across full-stack engineering, solution architecture, and enterprise technology delivery. You will work directly with CXOs to define value, build rapid Proofs of Value, and translate solutions into MVPs and scalable deployments.

This hands-on role emphasizes executive presence, architecture discipline, and rapid delivery of GenAI/agentic solutions.

Qualifications

• 10+ years of professional experience in full-stack engineering, solution architecture, technical consulting, or related technical disciplines.
• Significant client-facing enterprise delivery experience.
• Ability to build rapidly under ambiguity while maintaining strong architectural and engineering standards.
• Strong hands-on experience with modern AI technologies, including LLMs, agent orchestration, memory patterns, embeddings, knowledge retrieval, and retrieval evaluation.
• Experience with offline and online evaluations, regression testing, and AI safety testing.
• Strong software engineering fundamentals in APIs, enterprise integrations, and distributed systems.
• Proficiency in Python and at least one of: TypeScript, Java, or Go.
• Cloud-native experience with AWS, Azure, and/or GCP; containers, CI/CD, and observability.
• Exceptional communication skills for CXO-level stakeholders.

Responsibilities

• Lead executive discovery sessions with senior client stakeholders.
• Translate business challenges into an outcome thesis, KPI framework, and operating constraints.
• Identify high-value opportunities for rapid Proofs of Value.
• Define what should be automated versus human-in-the-loop.
• Communicate tradeoffs to executives with data-driven rationale.
• Design and build rapid PoVs demonstrating business value and feasibility.
• Develop agentic workflows with tools, APIs, and enterprise apps.
• Provide delivery teams with production-ready implementation plans and ensure PoV-to-MVP transitions.

Skills

Python

LLMs

Agent orchestration

Memory patterns

Embeddings

Knowledge retrieval

APIs

Enterprise integrations

Distributed systems

Cloud platforms

CI/CD

Observability

TypeScript

Java

Go

Tools

AWS/Azure/GCP

Job description

Work Location: Fully Remote – United States

Employment Type: Full-Time

Experience: 10+ Years

Work Model: Remote with occasional travel for client workshops, Proofs of Value (PoVs), and executive meetings

Role Overview

We are seeking a highly experienced Forward Deployed Engineer (FDE) with 10+ years of professional experience across software engineering, solution architecture, technical consulting, and enterprise technology delivery.

The FDE operates at the intersection of executive problem framing, rapid engineering, AI/agentic solution development, and scalable architecture.

You will work directly with CXOs and senior business and technology leaders to identify high-value business opportunities, rapidly build working Proofs of Value, and translate successful solutions into MVPs and scalable enterprise deployments.

This is a hands-on engineering role, not a purely advisory or consulting position.

Key Responsibilities

Executive-Facing Discovery & Value Shaping

• Lead CXO-level discovery and working sessions with senior client stakeholders.
• Translate business challenges into an outcome thesis, KPI framework, baseline, uplift hypothesis, and operating constraints.
• Identify high-value, measurable opportunities suitable for rapid Proofs of Value.
• Determine what should be automated versus assisted and where human-in-the-loop controls are required.
• Communicate technical, business, cost, risk, and scalability tradeoffs to executive stakeholders.
• Design and build rapid PoVs demonstrating business value and technical feasibility.
• Develop agentic workflows incorporating tools, APIs, enterprise applications, and lightweight user experiences.
• Build evaluation frameworks covering:
• Task success
• Accuracy
• Policy compliance
• Tool-call success
• Cost

Agentic Architecture & Path-to-Scale

Develop scalable agentic architectures covering:

• Agent roles
• Orchestration patterns
• Tools and APIs
• Data and knowledge strategies
• Guardrails
• Observability

Define:

• MVP backlog
• Identity and access management
• Audit logging

Provide delivery teams with a production-ready implementation plan and ensure successful transition from PoV to MVP and scaled deployment.

Required Qualifications

• 10+ years of professional experience in full-stack engineering, solution architecture, technical consulting, or related technical disciplines.
• Significant client-facing enterprise delivery experience.
• Proven ability to build rapidly under ambiguity while maintaining strong architectural and engineering standards.
• Strong hands-on experience with modern AI technologies, including:
• LLMs
• Agent orchestration
• Memory patterns
• Strong RAG experience, including:
• Embeddings
• Chunking
• Knowledge retrieval
• Retrieval evaluation
• Experience with:
• Offline and online evaluations
• Regression testing
• AI safety testing
• Basic red-teaming
• Strong software engineering fundamentals in:
• APIs
• Enterprise integrations
• Distributed systems
• Strong proficiency in Python and at least one of:
• TypeScript
• Java
• Go
• Strong cloud-native experience with AWS, Azure, and/or GCP.
• Experience with containers, CI/CD, and observability.
• Exceptional communication skills with the ability to translate complex technical concepts into measurable business outcomes for CXO-level stakeholders.

Preferred Qualifications

• Proven delivery of GenAI/agentic solutions in production, not just prototypes.
• Experience integrating with enterprise platforms such as:
• ServiceNow
• SAP
• Microsoft Graph / Microsoft 365
• Databricks
• Snowflake
• Experience with GenAI security and governance, including:
• Access control
• Auditability
• Compliance
• Familiarity with LLMOps / AgentOps, including:
• Telemetry
• Drift monitoring
• Cost governance
• FinOps
• Domain expertise in one or more of:
• Travel / Transportation / Hospitality
• Retail / CPG
• Manufacturing
• Media
• Relevant cloud, AI, security, or data certifications are a plus.

Core Competencies

Executive Presence

Credible with CXOs and senior stakeholders; able to lead executive discussions and drive decisions.

Structured Problem Solving

Quickly identifies the highest-value business opportunity and defines measurable success criteria.

Builder Mindset

Hands-on engineer who can rapidly turn an idea into a functioning solution.

Technical Judgment & Responsible AI

Understands where autonomous agents can safely operate and where guardrails and human oversight are required.

Repeatability

Creates reusable architectures, playbooks, accelerators, and implementation patterns from successful solutions.

Working Model

• Fully remote within the United States.
• Collaborate with distributed global engineering, product, sales, and delivery teams.
• Periodic travel may be required for:
• Proofs of Value
• Work within highly collaborative cross-functional teams.
• Strong emphasis on hands-on engineering and rapid solution delivery.
• This is not a purely advisory or strategy consulting role.

Ideal Candidate

The ideal candidate should have 10+ years of overall technology experience and be capable of independently taking a customer problem through the complete lifecycle:

Candidates whose experience is limited to traditional software development, AI research, prompt engineering, project management, business analysis, or strategy consulting without substantial hands-on GenAI/agentic engineering experience will not be considered a strong fit.