Location: Remote / Seattle, WA
Type: Full-time

Energsoft is building the world’s first Autonomous Battery Intelligence Platform — a multi-agent AI system that continuously detects, investigates, predicts, explains, and optimizes battery behavior across the entire lifecycle.

We are redefining battery software beyond dashboards and analytics into a fully agentic platform powered by:

• LLM agents
• digital twins
• autonomous reasoning systems
• real-time telemetry intelligence
• predictive reliability AI
• large-scale distributed ML infrastructure

Our platform combines:

• Azure AI + Microsoft Fabric
• LangGraph + LangSmith
• fine-tuned foundation models
• time-series AI
• vector databases
• battery digital twins
• multi-agent orchestration

to create autonomous operational intelligence for EVs, energy storage systems, manufacturing, robotics, and electrification platforms.

We’re looking for a deeply technical AI/ML engineer to help architect and scale the next generation of agentic battery intelligence systems.

Design and deploy specialized AI agents for:

• degradation analysis
• thermal safety prediction
• charging optimization
• warranty risk analysis
• anomaly investigation
• fleet optimization
• root-cause reasoning

using modern agentic frameworks like:

• LangGraph
• LangChain
• Semantic Kernel
• AutoGen
• OpenAI SDKs

Architect collaborative AI systems where agents autonomously:

• investigate failures
• correlate telemetry
• analyze manufacturing genealogy
• generate engineering insights
• recommend operational actions
• optimize fleet behavior in real time

Build and fine-tune:

• LLMs
• time-series transformers
• multimodal models
• graph neural networks
• predictive degradation models
• reinforcement learning systems

using:

• Hugging Face
• PyTorch
• TensorFlow
• Azure AI Foundry
• ONNX
• DeepSpeed

Design scalable AI pipelines using:

• Microsoft Fabric
• Azure ML
• Databricks
• Kafka
• Spark
• vector databases
• distributed inference systems

for high-throughput real-time battery telemetry and operational intelligence.

Lead initiatives around:

• domain adaptation
• synthetic data generation
• RAG architectures
• embedding optimization
• LoRA/QLoRA fine-tuning
• model compression
• inference optimization
• edge deployment
• model distillation

for battery-specific AI workloads.

Develop evaluation pipelines and operational AI monitoring using: LangSmith, PromptFlow, MLflow, Weights & Biases, Azure AI Evaluation, tracing and agent observability frameworks

to ensure reliability, explainability, and performance of autonomous AI systems.

• 10+ years building production ML/AI systems at scale
• Deep expertise in:
  • LLMs
  • AI agents
  • RAG systems
  • fine-tuning
  • distributed ML systems
  • time-series AI
• Strong Python engineering skills
• Experience with:
  • LangChain
  • LangGraph
  • Semantic Kernel
  • OpenAI APIs
  • Hugging Face
  • PyTorch
  • TensorFlow
• Experience deploying AI systems on:
  • Azure
  • AWS
  • GCP
• Familiarity with:
  • Microsoft Fabric
  • Databricks
  • Azure ML
  • vector databases
  • real-time streaming architectures
• Experience with:
  • model distillation
  • quantization
  • inference optimization
  • edge AI deployment
• Strong understanding of:
  • anomaly detection
  • predictive maintenance
  • graph systems
  • reinforcement learning
  • digital twin architectures
• Excellent communication and systems thinking skills

Energsoft autonomously detects, investigates, predicts, and explains battery failures before they impact operations.

Specialized AI agents for degradation, thermal safety, charging optimization, and warranty risk — continuously collaborating across the battery lifecycle.

Not just dashboards and alerts — Energsoft agents take autonomous action through real-time diagnosis, optimization, and operational decisioning.

• Build category-defining AI systems for the future of electrification
• Work on frontier AI problems involving agents, digital twins, and autonomous reasoning
• Collaborate with elite AI engineers, battery scientists, and distributed systems experts
• Own major technical architecture decisions
• Directly impact EVs, energy storage, robotics, and clean energy infrastructure
• Competitive compensation, equity, and benefits
• We are small team with huge impact and ownership
• There is a big chance to get higher RSU grant refreshers if performance is excellent.

If you’re passionate about: agentic AI systems, LLM infrastructure, autonomous reasoning, distributed ML, real-world AI applications, energy transformation we’d love to talk.