Senior AI Engineer
Senior AI Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Who We Are
Arcadia is the technology company empowering energy innovators and consumers to fight the climate crisis. Our software and APIs are revolutionizing an industry held back by outdated systems by creating unprecedented access to the data and clean energy needed to make a decarbonized grid possible.
In 2014 we set out to break the fossil fuel monopoly. Since then weve connected hundreds of thousands of consumers and small businesses with high-quality clean energy options. Today through our Arcadia platform we empower developers and innovators to build personalized energy experiences accelerating the transformation of the energy industry into a digital AI-driven ecosystem.
Tackling one of the worlds biggest challenges requires bold thinking and diverse perspectives. If youre passionate about applying AI to decarbonization at scale wed love to see what youll bring to Arcadia. Visit .
HQ: Washington DC $1B valuation $500M capital raised since inception
What were looking for
We are seeking a Senior AI Engineer (L4 Individual Contributor) to design build and deploy AI and agentic systems that power the future of clean energy. You will work on advanced machine learning and generative AI applications that expand access to renewable energy unlock new insights from utility data and drive intelligent automation across the Arcadia platform.
The ideal candidate is:
- A deep technical expert in machine learning and AI especially in production environments.
- Comfortable taking ambiguous large-scale problems and translating them into scalable AI solutions.
- A strong collaborator with Product Data and Infrastructure teams.
- Passionate about using AI to accelerate the clean energy transition.
- Experienced with building agentic pipelines with the latest models from Anthropic Google OpenAI and more
- Able to mix classic scalable systems engineering with agentic workflows
What youll do
- Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
- Design and train ML/AI models (forecasting NLP graph learning generative AI) to improve data quality cost effectiveness and system scalability
- Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments.
- Build robust automated data pipelines and ML Ops workflows for continuous training and deployment.
- Research and experiment with modern AI methods (transformers foundation models reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements.
- Drive performance improvements in model accuracy latency and cost efficiency.
- Collaborate with Product SRE and Analytics teams to deliver AI-enabled features across Arcadias platform.
- Write clean maintainable code contribute to architecture reviews and mentor junior engineers.
- Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
What will help you succeed
- 12 years of professional software engineering experience with 3 years in AI/ML development.
- Strong expertise in Python PyTorch/TensorFlow scikit-learn and ML tooling (MLflow LangChain).
- Proficiency with SQL cloud services (AWS) containers (Docker Kubernetes) and distributed systems.
- Understanding of modern AI research (LLMs diffusion models transformers).
- Experience deploying ML models in production with CI/CD.
- Strong analytical skills ability to balance speed and rigor in experimentation.
- A passion for sustainability and the clean-energy mission.
- Experienced with building agentic pipelines with the latest models from Anthropic Google OpenAI and more
Benefits
- Competitive compensation and employee stock options
- Hybrid/remote-first working model (India-based role with global collaboration)
- Flexible leave policy
- Comprehensive medical insurance (self family members)
- Annual performance cycle quarterly recognition awards
- A supportive diverse engineering culture grounded in empathy teamwork and innovation
Eliminating carbon footprints eliminating carbon copies.
Here at Arcadia we cultivate diversity celebrate individuality and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race color religion gender sexual orientation gender identity or expression national origin age disability genetic information protected veteran status or any status protected by applicable federal state or local law. While we are currently unable to consider candidates who will require visa sponsorship we welcome applications from all qualified candidates eligible to work in India
Thank you
Required Experience:
Senior IC
Employment Type
Full Time
