AI Engineer : Claude AI Factory Builder (TX Remote only)

**Only direct W2 candidates, please**

Claude AI Factory Builder

Seeking highly execution-oriented builders to design, develop, and deploy AI-enabled tools, agents, and workflows that scale across consulting delivery. This contractor role focuses on shipping working artifacts, iterating quickly, and operating effectively in ambiguous environments.

Role Type: Contractor

Location: Flexible (Remote preferably from Dallas, TX or Austin, TX)

Start Date: ASAP

Initial Duration: 6–12 months (extendable based on performance)

The AI Factory Builder will break apart real consulting workflows, identify leverage points for automation or augmentation, and build AI-powered solutions, including Claude Code-based agents and other GenAI tools. Success is measured by shipped assets, adoption, and measurable delivery impact.

Demonstrated Builders (Execution-First Mindset)

Proven track record of shipping production-grade GenAI/AI solutions, not just POCs

Clear ownership of end-to-end lifecycle: problem framing → architecture → development → deployment → iteration

Ability to articulate real impact (usage scale, latency improvements, cost reduction, accuracy gains, business outcomes)

Experience building usable tools/products, not just models or notebooks

Applied GenAI & Claude Expertise (Hands-on, Production-Level)

Strong hands-on experience with Claude (Claude 2 / Claude 3 – Sonnet, Opus) in real-world applications

Deep understanding of prompt engineering, structured outputs, guardrails, and hallucination mitigation

Experience designing and implementing RAG pipelines (chunking strategies, hybrid retrieval, reranking, context optimization)

Familiarity with Anthropic-specific capabilities (system prompts, tool use, streaming, safety patterns)

Experience integrating Claude with enterprise systems, APIs, and data platforms

Agentic Workflows & Orchestration

Hands-on experience building agent-based or multi-step reasoning systems using tools like LangChain / LangGraph (or equivalent)

Ability to design modular workflows (retrieval → reasoning → tool execution → validation → response generation)

Experience with tool-calling agents, API integrations, and decision-driven workflows

Understanding of state management, conditional routing, fallback handling, and retry logic

Experience building scalable orchestration systems, not just linear pipelines

Systems Thinking & Architecture Depth

Ability to design end-to-end GenAI architectures (data ingestion, embeddings, vector DBs, retrieval layers, LLM orchestration)

Experience with vector databases (FAISS, Pinecone, OpenSearch, etc.) and hybrid search patterns

Understanding of performance trade-offs (latency vs accuracy vs cost vs context size)

Familiarity with evaluation frameworks, monitoring, and human-in-the-loop validation

Experience deploying scalable systems using APIs, microservices, and cloud platforms

Product + Execution Hybrid (Builder Mindset)

Ability to take ambiguous consulting problems and translate them into working AI solutions

Strong bias toward rapid prototyping and iteration over over-engineering

Focus on delivering usable outputs quickly, then improving based on feedback

Comfortable working without detailed specs or rigid requirements

Ability to think in terms of user workflows, adoption, and usability, not just technical correctness

Communication & Ownership

Ability to clearly explain architecture, trade-offs, and decisions in simple terms

Strong communication when working with non-technical stakeholders

Confidence in discussing their own contributions vs team contributions

Proactive, self-driven, and comfortable operating independently

Ideal Candidate:

Strong “builder DNA” with real shipped GenAI systems

Deep hands-on Claude + RAG + agentic workflows experience

Combines engineering depth + product thinking

Comfortable with ambiguity, ownership, and fast iteration cycles

Clear, confident communicator who can defend design decisions

• *Only direct W2 candidates, please**