Job Description
Job Description
Only US Citizen & Green Card holder
Position: GenAI Engineer
Location: Remote
Duration: Contract until EOY + likely extensions
**Notes**
- Really wants a candidate that has had a career as a full stack or back-end developer/lead and their most recent experience being in GenAI Engineering (ideally the past 3 years of their career)
- Has previously hired for GenAI engineers with a data science type background but now he wants someone who is very much been focused on Full SDLC ownership, having taken products from requirements through design, implementation, testing, CI/CD, deployment, and production operations.
Overview:
We are looking for a seasoned GenAI Engineer who brings deep engineering experience across the full software lifecycle and has pivoted into Generative AI — building production-grade AI systems, not just prototypes. You are a thought leader who can shape how AI capabilities are architected and delivered at scale. You operate independently, drive decisions with conviction, and elevate the teams around you without needing to manage them.
Must Haves:
- 10+ software engineering with strong fundamentals — distributed systems, API design, data pipelines, cloud-native architecture
- Full SDLC ownership is non-negotiable: you have taken products from requirements through design, implementation, testing, CI/CD, deployment, and production operations — repeatedly
- Extensive hands-on cloud experience — GCP preferred; deep familiarity with managed services, IAM, networking, event-driven architecture, and infrastructure as code
- Strong CI/CD discipline — you have built, maintained, and owned pipelines end to end
- You are hands-on first. You are not an architect who stopped coding. You write code, review code, and debug production issues yourself
- Generative AI — Required (3+ years)
- Deep hands-on experience with LLMs in production — shipped systems, not experiments
- Multi-agent systems are a core strength: you have designed and built orchestration across multiple agents with memory, planning, tool use, and inter-agent communication — using frameworks such as LangGraph, AutoGen, CrewAI, or equivalent
- Strong RAG implementation experience: chunking strategies, embedding models, vector databases (Pinecone, Weaviate, pgvector, etc.), hybrid search, re-ranking, and evaluation
- Solid command of agentic frameworks and the architectural tradeoffs between them
- Understanding of Transformer internals — attention mechanisms, tokenization, context windows, fine-tuning vs. prompting tradeoffs — and how that informs real system design decisions
- LLM evaluation, observability, guardrails, and cost management in production
- Self-starter who defines their own agenda and executes without hand-holding
- Thought leader — you bring structure to ambiguous problems, advocate for architectural approaches, and can communicate them clearly to engineering and leadership alike
- Individual contributor by choice — you want to go deep, not wide into management
Day to Day:
- Own the end-to-end architecture of GenAI systems — from ingestion pipelines and vector stores through to agentic orchestration and production deployment
- Design and build multi-agent systems, RAG pipelines, and complex orchestration workflows that are production-hardened, not proof-of-concept
- Architect and operate these systems on cloud-native infrastructure with full ownership from design through go-live and post-release observability
- Define patterns for LLM integration, prompt engineering, context management, and evaluation that the broader engineering org can adopt
- Translate complex business problems into concrete AI architectures — connecting stakeholders, engineers, and platform teams
- Own the full SDLC on AI initiatives — requirements, design, implementation, CI/CD, testing, deployment, and production monitoring
- Stay close to the research frontier — you understand what's happening inside a Transformer, why attention works the way it does, and what that means for system design tradeoffs
- Serve as a technical anchor across AI initiatives — not a project manager, not a people manager, but the engineer others come to when the problem is hard
\nCompany Description
Beacon Staffing Alternatives, Inc. is a women-owned, strategic staffing organization that specializes in administrative staffing, IT staffing and logistics support. Headquartered in Central Maryland, Beacon Staffing utilizes state-of-the-art portals enabling employees and job seekers 24-7 online access to resources.
Beacon Staffing promises quality, integrity and reliability. Our personal knowledge and experience in the local community, combined with a contemporary approach to staffing management, makes Beacon Staffing a trusted guide with proven results.
We have maintained professional relationships with some clients for more than two decades. And, we welcome new employers regularly. We are proud to be the area’s most reputable, well-connected and accomplished temporary staffing company.
Company Description
Beacon Staffing Alternatives, Inc. is a women-owned, strategic staffing organization that specializes in administrative staffing, IT staffing and logistics support. Headquartered in Central Maryland, Beacon Staffing utilizes state-of-the-art portals enabling employees and job seekers 24-7 online access to resources.\r\n\r\nBeacon Staffing promises quality, integrity and reliability. Our personal knowledge and experience in the local community, combined with a contemporary approach to staffing management, makes Beacon Staffing a trusted guide with proven results.\r\n\r\nWe have maintained professional relationships with some clients for more than two decades. And, we welcome new employers regularly. We are proud to be the area’s most reputable, well-connected and accomplished temporary staffing company.