AI Engineer

Remote • Posted 11 hours ago • Updated 11 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
6 Months
No Travel Required
Remote
Depends on Experience
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Fitment

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Job Details

Skills

  • Multi-agent orchestration
  • LLM
  • RAG workflows
  • SLM fine-tuning
  • Python
  • Docker
  • Kubernetes
  • CI/CD
  • GraphQL

Summary

Senior Forward Deployed Engineer – Agentic AI / LLM / RAG
Contract
Remote

 
Must Haves:
Multi-agent orchestration, LLM, RAG workflows, SLM fine-tuning, Python, Docker, Kubernetes, CI/CD, GraphQL
 
Job Description: 
A fast-growing enterprise AI company is looking for a Senior Forward Deployed Engineer to take technical ownership of strategic AI solution deployments for enterprise customers. This role combines hands-on engineering, solution architecture, customer partnership, and delivery leadership, with a focus on building customer-specific applications on an Agentic AI platform.
 
You will lead the architecture, prototyping, implementation, and post-deployment optimization of large-scale Agentic and Knowledge AI solutions. The role involves working across enterprise data pipelines, multi-agent orchestration, RAG workflows, SLM fine-tuning, platform customization, full-stack delivery, and production-grade AI systems. You will collaborate closely with customers, Product, Platform Engineering, and cross-functional teams to translate ambiguous business needs into scalable engineering plans and successful deployments.
 
 
Requirements
Required Skills
  • 10+ years of engineering experience, including at least 2 years in customer-facing, field engineering, solutions engineering, or forward deployed engineering roles
  • Proven experience building and deploying AI/ML, data-intensive, or enterprise-grade applications in production
  • Strong full-stack development experience with Python, Node.js or Go, and React or Vue
  • DevOps experience with Docker, Kubernetes, CI/CD, and modern cloud-based deployment practices
  • Experience designing and implementing enterprise data pipelines and system integrations
  • Strong knowledge of REST APIs, Python, SQL, GraphQL, Webhooks, and enterprise integration patterns
  • Solid understanding of LLMs, prompt engineering, prompt tuning, vector databases, RAG pipelines, and agentic workflows
  • Experience with vector databases such as AstraDB, Pinecone, or Weaviate
  • Familiarity with RAG frameworks such as LlamaIndex or Haystack
  • Experience with agent and workflow orchestration tools such as LangChain, LangGraph, or CrewAI
  • Ability to lead technical solution design and implementation for strategic enterprise customers
  • Experience customizing platform components, integrating APIs, building reusable tooling, or extending platform logic
  • Strong understanding of observability, monitoring, versioning, telemetry, and trustworthy AI deployment practices
  • Ability to translate ambiguous customer needs into clear, actionable engineering plans
  • Strong project ownership, mentoring, communication, and collaboration skills across technical and business stakeholders
  • Undergraduate degree, master’s degree, or PhD in Computer Science, Data Science, or a related technical field.
Bonus Skills
  • Knowledge of SLM fine-tuning, model distillation, and model optimization techniques
  • Experience building and delivering enterprise Agentic AI solutions
  • Experience working with Agentic development platforms
  • Familiarity with graph databases, multimodal AI systems, evaluation frameworks, security, guardrails, and GPU infrastructure trends
  • Experience contributing to reusable assets, technical best practices, internal frameworks, and documentation
  • Prior experience supporting post-deployment optimization and production adoption for enterprise customers
  • Experience partnering with Product and Platform Engineering teams to identify feature gaps, customer pain points, and product improvement opportunities.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91165302
  • Position Id: 377-41837-1786986598
  • Posted 11 hours ago

Company Info

About InvestM Technology LLC

InvestM is an IT-focused workforce solutions firm that provides consulting, project-based staffing, contingent staffing, and remote staffing services to Fortune 5000 companies and US Government Agencies. To identify top talent, our screening and hiring process uses a quantitative, data-driven methodology that is cost-efficient, scalable, and applicable across all industries in need of qualified technology talent.

Geographic regions we service: USA | Canada | UK | European Union | Latin America | Asia Pacific

Industry Verticals that we cater to: Banking Capital Markets Consumer Goods and Distribution Communication, Media, and Technology Education Energy, Resources, and Utilities Healthcare High Tech Insurance Life Sciences Manufacturing Government Services Retail Travel and Logistics

Functions that we support: Software Development Quality Assurance & Testing Project & Program Management Business & Functional Analysis System & Solution Architecture Infrastructure & Operations Cloud Services Cybersecurity Data Analytics Enterprise Applications

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