Forward Deployed AI Engineer

Reach Velocity - Emerging Technology πŸ‡ΊπŸ‡Έ πŸ‡΅πŸ‡Ή Β· Houston, TX

Spotted 42m agofulltime
Job description

About this role

Employer-provided description, formatted for easier reading.

Forward Deployed AI Engineer

Location:

Houston, TX

Type:

Full-time

Work Arrangement:

On-site, 5 days/week

About the Role

We are looking for a

hands-on Forward Deployed AI Engineer

to join a growing AI team working at the intersection of

AI, commercial operations, and energy/commodities trading

.

You will work directly with commercial users to identify high-value AI opportunities and

design, build, and deploy agentic AI solutions

that solve real business problems.

This role requires someone who can take ownership from

business problem β†’ technical solution β†’ prototype β†’ production

, while collaborating with foundational AI and platform engineering teams.

Key Responsibilities

  • Work directly with

trading and commercial teams

to understand workflows and identify AI opportunities.

  • Design and deploy

LLM/agentic AI solutions

from prototype through production.

  • Build and integrate

RAG, tool calling, MCP servers, data connectors, and domain-specific AI capabilities

.

  • Apply AI techniques including

LLMs, NLP, RAG, time-series forecasting, and optimization

to pricing, supply/demand, trade-flow, and operational problems.

  • Translate business requirements into technical solutions and communicate requirements back to engineering teams.
  • Present AI capabilities and limitations to

traders and senior stakeholders

and drive adoption.

Required Qualifications

  • 3+ years

of experience in AI Engineering, Software Engineering, ML, Data Science, or a related technical field.

  • Strong

Python

development skills and solid software engineering fundamentals.

  • Hands-on experience with

Generative AI, LLMs, RAG, prompt engineering, tool/function calling, and agentic workflows

.

  • Experience with frameworks such as

LangChain, LlamaIndex, or equivalent

.

  • Experience with

AWS or other cloud platforms

.

  • Strong communication skills and ability to work directly with both technical and commercial stakeholders.

⭐ Strong Preference: Energy & Commodities

The client is particularly interested in candidates coming from:

  • Oil & Gas
  • Energy
  • Commodities / Commodity Trading
  • Energy Trading
  • Power & Gas Markets
  • Trading, Risk, or Market Analytics

Candidates with an understanding of

commodity markets, energy flows, trading workflows, pricing, supply/demand, or commercial operations

will be strongly preferred.

Ideal Candidate

A

business-facing AI builder

who can understand a commercial problem, identify where AI can add value, build the solution, and get it into production.

πŸ“

Houston, TX | 5 Days On-site | Full-time

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