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Senior Agentic AI Engineer
Job Location:
Job Location:
Houston, TX - USA
Yearly Salary:
USD 120000 - 140000
Yearly Salary:
Posted:
10 October 2026 (Yesterday)
Posted:
Application Deadline:
7 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Role Senior Agentic AI Engineer
Location Houston TX
Job Type Fulltime Role
Salary Range: $120000 to $140000 Per Annum Benefits
Job Description
Must-Have
Good-to-Have
Location Houston TX
Job Type Fulltime Role
Salary Range: $120000 to $140000 Per Annum Benefits
Job Description
Must-Have
- 46 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.
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Required Experience:
Senior IC
