Artificial Intelligence Engineer - Commodity or Financial Trading experience

Qualifications

• Must be located/authorized to work in the USA without visa sponsorship or transfer now or in the future

• Hands on Databricks + Spark expertise (PySpark, SQL, Delta, Unity Catalog)

• Proven data engineering skills (ingestion, modelling, orchestration, performance tuning)

• Strong statistics/economics/data science fundamentals for market time series

• Experience building LLM solutions (prompting, retrieval, agent flows; LangGraph, MCP) and integrating with trading data/services

• Experience with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance (PII handling, data lineage)

• Excellent stakeholder skills: able to work on desk with traders/analysts and deliver fast

• 4 more items(s)

Benefits

• Location: Hybrid, Houston, TX 77002| Pay: $100/hr W2 | Duration: 9+ months (extensions possible)

Responsibilities

• You'll partner with traders and trading analysts to rapidly build AI powered analytics over market pricing and fundamentals data, using Databricks and Spark to deliver value at speed

• Design and ship AI driven analytics for front office use (seasonality, correlation, regression, forecasting, scenario modelling)

• Build reusable and scalable data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog), optimizing cost, reliability, and performance

• Run statistical/econometric analyses on large datasets (e.g., market & fundamental time series data)

• Collaborate directly with traders/analysts—translate ambiguous questions into shippable solutions; communicate insights clearly

• Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails

• Productionize solutions with testing, observability, versioning, and documentation

• Maintain operational stability of production pipelines using secure, modern CI/CD engineering practices with automated testing, quality gates, and built in reliability across development, security, and operations

• 5 more items(s)

More job highlights

Job description

Looking for an AI Engineer (Trading Analytics & Data Engineering) with commodity or financial trading experience.

You'll partner with traders and trading analysts to rapidly build AI powered analytics over market pricing and fundamentals data, using Databricks and Spark to deliver value at speed.

Location: Hybrid, Houston, TX 77002| Pay: $100/hr W2 | Duration: 9+ months (extensions possible)

Ple...ase Note: W2 ONLY - Per Client Requirement NO C2C, H1B, TN Visa, 1099, F1 – CPT & OPT

• Must be located/authorized to work in the USA without visa sponsorship or transfer now or in the future.

No C2C inquiries, please!!

If interested, please email your resume to grace.johnson@motionrecruitment.com

What you'll do

Design and ship AI driven analytics for front office use (seasonality, correlation, regression, forecasting, scenario modelling).

Build reusable and scalable data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog), optimizing cost, reliability, and performance.

Run statistical/econometric analyses on large datasets (e.g., market & fundamental time series data).

Collaborate directly with traders/analysts—translate ambiguous questions into shippable solutions; communicate insights clearly.

Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails.

Productionize solutions with testing, observability, versioning, and documentation.

Maintain operational stability of production pipelines using secure, modern CI/CD engineering practices with automated testing, quality gates, and built in reliability across development, security, and operations.

MUST HAVE:

Hands on Databricks + Spark expertise (PySpark, SQL, Delta, Unity Catalog).

Proven data engineering skills (ingestion, modelling, orchestration, performance tuning).

Strong statistics/economics/data science fundamentals for market time series.

Experience building LLM solutions (prompting, retrieval, agent flows; LangGraph, MCP) and integrating with trading data/services.

Experience with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance (PII handling, data lineage).

Excellent stakeholder skills: able to work on desk with traders/analysts and deliver fast.

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