Froward Deployment Engineer

Intersources Inc.
Charlotte, NC, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$26,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Information Engineering Python (Programming Language) Machine Learning Software Deployment Software Engineering Data Streaming Unstructured Data
+12 more
Data Logging Cloud Platform System Large Language Models Multi-Agent Systems Generative AI Kubernetes Optimization Algorithms Machine Learning Operations Virtual Agents Data Pipelines Docker Microservices

Job description

We are seeking a highly skilled and client-facing Forward Deployed AI Engineer with a powerful mix of Python development, classical AI/ML expertise, and advanced Generative AI engineering capabilities. In this role, you will bridge the gap between our cutting-edge AI technologies and enterprise customer deployment. You will build, adapt, and deploy production-grade AI solutions directly within client environments, turning ambiguous business problems into highly scalable, intelligent systems. As a Forward Deployed Engineer, you act simultaneously as a product engineer, an AI specialist, and a solution architect. Key Responsibilities

  • End-to-End AI Deployment: Architect, deploy, and scale high-performance GenAI and AI/ML solutions into client enterprise environments-from initial technical discovery to final delivery.
  • Prototype to Production: Rapidly design and build functional Proof of Concepts (PoCs) and live interactive demos under time-sensitive customer engagements.
  • Pipeline & Agent Engineering: Construct resilient data processing pipelines handling both structured and unstructured data, using Retrieval-Augmented Generation (RAG) and multi-agent system workflows.
  • Cross-Functional Collaboration: Partner directly with the core engineering and product teams to translate field insights, edge-case bugs, and customer feedback into product roadmaps.
  • Client Advisory & Trust: Serve as the technical point of contact for customer stakeholders, explaining complex LLM behaviors, inference constraints, and engineering tradeoffs clearly.

Requirements

  1. Core Software Engineering & Python * Expertise in Python: Deep proficiency in building production-grade applications, APIs, and microservices using clean, maintainable Python syntax. * Data & Cloud Infrastructure: Practical experience building containerized applications using Docker/Kubernetes and working with major cloud ecosystems (AWS, GCP, or Azure). * Data Engineering: Experience designing large-scale pipelines using vector databases and event-driven data streaming layers.

  2. Advanced Generative AI & Agentic AI * LLM Orchestration: Mastery of foundational GenAI frameworks such as LangChain, LangGraph, LlamaIndex, or CrewAI. * RAG & Context Management: Proven success implementing semantic search, custom context windows, embeddings, and prompt optimization techniques. * Agentic Frameworks: Hands-on experience developing autonomous AI agents with bounded tool use, self-reflection, and structured output patterns.

  3. Classical AI/ML Background * Machine Learning Fundamentals: Deep understanding of classical ML models for forecasting, predictive analytics, anomaly detection, and classification. * MLOps & LLMOps: Familiarity with the model lifecycle, utilizing instrumentation tools for logging, tracing, evaluation, cost tracking, and model observation (e.g., MLflow, Kubeflow, Weights & Biases).

About the company

InterSources Inc, a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 19 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.

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