[Hiring] Full Stack AI Developer @Halliburton

Role Description

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

The Opportunity: We are building a platform that merges real-time physics, structured knowledge, and autonomous intelligence. We are looking for developers ready to tackle one (or more) of those challenges:

• Ingestion: Handling massive streams of sensor data with minimal latency.
• Intelligence: Making LLMs deterministic and reliable within robust multi-agent systems.
• Context: Modeling complex ontologies to map thousands of physical assets.

What You'll Do: You will join a high-performance team, contributing to designing and delivering Advanced Agentic AI Systems across the full stack — from data pipelines and knowledge graphs, through agent orchestration, to the interactive UI engineers and analysts use every day.

Qualifications

• Must Haves:
• Practical experience building applications with LLMs, Agentic Frameworks (LangGraph), and Vector Databases.
• 5+ years of experience in Python Backend development.
• 2+ years of experience with modern frontend frameworks (React and/or Angular) and TypeScript.
• Advanced English communication skills.
• Computer Science fundamentals: Data Structures and Algorithms.
• Strong experience building and documenting REST APIs (FastAPI).
• Good to Have:
• Experience building eval pipelines for agentic systems (e.g., Lang Smith, Ragas, or custom harnesses) to test task success, groundedness, and hallucination rate.
• Proficiency with Streaming Technologies (Kafka, Flink, Spark) and Time-Series Databases (TimescaleDB, InfluxDB).
• Hands-on experience with Graph Databases (Neo4j/Cypher), SQL database design, and Hybrid Search strategies.
• Background in Heavy Industry, O&G, or IoT data (MQTT, OPC UA).
• Experience with Local LLMs (Ollama) for privacy-focused deployments.
• Familiarity with Data Lineage or Metadata management.

Requirements

• Build Autonomous Agents: Deploy stateful agents (using LangGraph) that plan tasks, query Knowledge Graphs, and execute tools without hallucinating.
• Advanced RAG: Build Graph-RAG pipelines that combine semantic search with structured knowledge traversal for grounded answers.
• Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
• Collaborate with domain experts to align agent behavior with technical expectations and constraints.
• Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.
• Continuously optimize prompting, agent orchestration, and performance under real-world conditions.
• Build low-latency Python services (FastAPI) to serve live data to frontend and AI models.
• Adopt a “deliver fast” mentality without compromising code quality, testing, or API design standards.
• Build interactive React-based AI chat assistant including canvas/dashboard views.

Benefits

• Competitive compensation commensurate with experience.
• Fully remote position.

Company Description

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.