Senior Forward Deployed AI Engineer in San Francisco

Energy Jobline
San Francisco, CA, United States
3 days ago
Apply on www.energyjobline.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Artificial Neural Networks Information Engineering Python (Programming Language) Machine Learning Software Engineering Large Language Models Prompt Engineering

Job description

  • Partner closely with customers to understand workflows and identify opportunities to apply AI/ML solutions
  • Design, customize, and deploy AI-driven systems tailored to specific customer needs
  • Rapidly prototype and iterate on solutions based on real-time feedback
  • Break down complex problems into actionable steps and deliver results in ambiguous environments
  • Integrate a wide range of AI/ML technologies to solve diverse, real-world challenges
  • Provide hands-on technical support to ensure successful implementation and adoption
  • Collaborate with internal engineering teams to inform product development and improvements
  • Stay current with advancements in AI/ML and apply them to practical use cases
  • Mentor other engineers and contribute to a strong, collaborative engineering culture
  • Influence product direction by bringing insights from customer engagements and emerging technologies

Requirements

You’ll operate in a fast-paced, high-ownership environment, rapidly prototyping, iterating, and deploying systems that deliver immediate value. This role requires strong technical depth, a problem-solving mindset, and the ability to navigate ambiguity while staying focused on outcomes., * 4+ years of experience in software engineering, data engineering, or machine learning

  • Strong coding ability with a focus on building and shipping real-world systems
  • Experience with or strong interest in Large Models (LLMs) and prompt engineering
  • Ability to quickly learn new technologies and adapt in fast-changing environments
  • Strong bias toward delivering business value over purely theoretical work
  • Comfort operating across a wide range of technical problems rather than specializing narrowly
  • Proven ability to break down complex systems and execute effectively
  • High resilience, resourcefulness, and ownership mindset
  • Strong communication skills and ability to work directly with customers
  • Interest in applying technology to real-world domains and making meaningful impact

Nice to have:

  • Experience or interest in healthcare or regulated environments
  • Proficiency in Python
  • Experience with machine learning and neural networks

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.energyjobline.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

1:46 min

Refining complex software instructions using automated prompt engineers

Markus Walker Markus Walker · World Congress 2023

1:22 min

Understanding software engineering as more than just coding

Lilia Gargouri Lilia Gargouri · World Congress 2026 Europe

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:57 min

Evolution of machine learning algorithms and computing hardware

Alexandra Waldherr · LIVE

2:03 min

Solving complex engineering challenges in artificial intelligence deployment

Nico Axtmann · World Congress 2022

Videos

See all

Related articles

See all