AI Engineer
Brooksource
AI Engineer Brooksource Fortune 500 Oil & Gas Client Houston, TX Overview We are hiring multiple AI Engineers to build next-generation agentic AI systems supporting enterprise initiatives like AI-driven sales enablement and workflow automation. This role is ideal for engineers who have recently built AI agents (typically ~2 years) and can confidently explain how and why their systems work. What You'll Do
EEO:
We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.
Benefits & Perks:
Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
- Build and deploy AI agents and agentic workflows
- Develop RAG pipelines (ingestion → retrieval → generation)
- Work with orchestration frameworks to enable:
- Multi-step reasoning
- Tool usage
- Memory management
- Implement evaluation frameworks to measure:
- Accuracy
- Hallucination rates
- Reliability
- Contribute to production-grade AI systems with:
- APIs
- Testing
- Monitoring
- Collaborate with Lead and team on architecture and best practices
- 3-6 years in software engineering or data science
- Hands-on experience building AI agents
- Ability to explain:
- What you built
- Why it works
- Why it can be trusted
- Experience with:
- Azure AI Foundry
- LangGraph (or similar)
- Copilot / Microsoft AI stack
- Agent registries (LangSmith, Agent 365, etc.)
- Strong Python skills
- LLM application development
- RAG systems and vector search
- Prompt engineering and evaluation
- API development and system integration
- Experience with Databricks, Snowflake, or Microsoft Fabric
- Exposure to data engineering concepts
- Background in data science or machine learning
- Familiarity with:
- MLflow, LangSmith, or similar tools
- Experimentation and model evaluation
EEO:
We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.
Benefits & Perks:
Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Vacancy posted 2 days ago
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