AI Engineer


InvestM Technology LLC
Dice Job Match Score™
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Job Details
Skills
- Multi-agent orchestration
- LLM
- RAG workflows
- SLM fine-tuning
- Python
- Docker
- Kubernetes
- CI/CD
- GraphQL
Summary
Contract
Remote
Multi-agent orchestration, LLM, RAG workflows, SLM fine-tuning, Python, Docker, Kubernetes, CI/CD, GraphQL
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10+ years of engineering experience, including at least 2 years in customer-facing, field engineering, solutions engineering, or forward deployed engineering roles
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Proven experience building and deploying AI/ML, data-intensive, or enterprise-grade applications in production
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Strong full-stack development experience with Python, Node.js or Go, and React or Vue
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DevOps experience with Docker, Kubernetes, CI/CD, and modern cloud-based deployment practices
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Experience designing and implementing enterprise data pipelines and system integrations
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Strong knowledge of REST APIs, Python, SQL, GraphQL, Webhooks, and enterprise integration patterns
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Solid understanding of LLMs, prompt engineering, prompt tuning, vector databases, RAG pipelines, and agentic workflows
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Experience with vector databases such as AstraDB, Pinecone, or Weaviate
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Familiarity with RAG frameworks such as LlamaIndex or Haystack
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Experience with agent and workflow orchestration tools such as LangChain, LangGraph, or CrewAI
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Ability to lead technical solution design and implementation for strategic enterprise customers
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Experience customizing platform components, integrating APIs, building reusable tooling, or extending platform logic
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Strong understanding of observability, monitoring, versioning, telemetry, and trustworthy AI deployment practices
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Ability to translate ambiguous customer needs into clear, actionable engineering plans
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Strong project ownership, mentoring, communication, and collaboration skills across technical and business stakeholders
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Undergraduate degree, master’s degree, or PhD in Computer Science, Data Science, or a related technical field.
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Knowledge of SLM fine-tuning, model distillation, and model optimization techniques
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Experience building and delivering enterprise Agentic AI solutions
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Experience working with Agentic development platforms
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Familiarity with graph databases, multimodal AI systems, evaluation frameworks, security, guardrails, and GPU infrastructure trends
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Experience contributing to reusable assets, technical best practices, internal frameworks, and documentation
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Prior experience supporting post-deployment optimization and production adoption for enterprise customers
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Experience partnering with Product and Platform Engineering teams to identify feature gaps, customer pain points, and product improvement opportunities.
- 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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