Role: Senior Agentic AI Engineer
Location: Houston, TX
Salary Range: $120,000 - $150,000/Year
Job Description
Must-Have
- 4-6 years software engineering experience, including 2+ hands-on experience building LLM-based applications in production.
- Strong Python (TypeScript a plus); deep familiarity with LLM APIs (OpenAI, Anthropic, Gemini, open-weight models) and prompt/context engineering.
- Hands-on experience with agent frameworks, tool/function calling, structured outputs, and multi-agent orchestration patterns.
- Experience with vector databases (Pinecone, Weaviate, pgvector, etc.), embeddings, and retrieval system design.
- Solid backend fundamentals: APIs, async systems, distributed services, Docker/Kubernetes, and cloud platforms.
- Practical knowledge of LLM evaluation, safety, and reliability techniques; comfort working with imperfect, probabilistic systems.
- Excellent communication skills and a track record of ownership in fast-moving environments.
Good-to-Have
- Fine-tuning / RLHF experience, open-source contributions to AI tooling, or published work on agents.
- Experience with MLOps/LLMOps platforms (LangSmith, Langfuse, Weights & Biases, MLflow) and enterprise security/compliance requirements.
- Architect and build multi-step, tool-using LLM agents (planning, memory, retrieval, orchestration) for production use cases.
- Design robust agent workflows using frameworks such as LangGraph, CrewAI, AutoGen, or the OpenAI/Anthropic agent SDKs; integrate tools via MCP and function calling.
- Collaborate with solution architects, product teams, and application owners to implement integration designs.
- Build RAG pipelines, vector search, and context-management strategies that keep agents accurate and cost-efficient.
- Strong Python (TypeScript a plus); deep familiarity with LLM APIs (OpenAI, Anthropic, Gemini, open-weight models) and prompt/context engineering.
Skills: Artificial Intelligence | API(Application programming interface)
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