Talantix.io
Energy Exemplar•10.03.26
AI SCORE 8.5

Senior Software Engineer - Generative AI (Remote)

$140K–$180K/year
RemoteAI/Big Data
Python•Java•Azure•Generative AI•RAG•Agentic AI•Cloud-native Architecture•Containers•API•Debugging•Performance Optimization

About the Role

We are seeking a Senior Software Engineer - Generative AI to join our team at Energy Exemplar. In this remote position, you will play a crucial role in architecting and scaling AI-powered product capabilities across our simulation and planning platforms. As a Senior Software Engineer specializing in Generative AI, you will not only deliver features but also design reusable Agentic AI platforms that empower multiple product teams to build AI agents aligned with energy-market domain requirements.

What You'll Do

  • Architect, design, and implement end-to-end Generative AI systems, including advanced RAG and Agentic AI workflows.
  • Design and build Agentic AI platforms that support the creation, orchestration, monitoring, evaluation, and governance of AI agents across various use cases and teams.
  • Define domain-aware RAG architectures that enable AI agents to reason over energy market rules, model inputs, constraints, and simulation outputs.
  • Lead the development of production-grade AI services using Python and/or .Net/Java, ensuring high reliability and performance for enterprise customers.
  • Design AI data pipelines leveraging Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure Storage.
  • Establish standards for prompt management, agent memory, tool invocation, evaluation metrics, observability, and cost control.
  • Collaborate with product managers, energy domain experts, and cloud teams to align AI solutions with real customer workflows.
  • Mentor and guide engineers on AI, backend, and full-stack design best practices.

Requirements

  • 5–10 years of professional software engineering experience with strong expertise in Python and/or .Net/Java.
  • Proven experience delivering production Generative AI solutions, including RAG implementations, at scale.
  • Demonstrated ability to design and build Agentic AI agents and platforms.
  • Deep understanding of LLMs, agent orchestration patterns, vector search, prompt optimization, memory strategies, and evaluation frameworks.
  • Hands-on experience with cloud-native architecture (preferably Azure), containers, and orchestration platforms.
  • Strong debugging, performance tuning, and problem-solving skills.
  • Excellent communication skills, capable of influencing both technical and non-technical stakeholders.
  • Ability to balance innovation with engineering rigor and long-term maintainability.

What We Offer

  • Competitive salary range of $140,000 - $180,000 annually.
  • Flexible remote work environment that allows you to work from anywhere.
  • Opportunities for professional growth and development.
  • Inclusive company culture that values diversity and collaboration.
  • Support for work-life balance and mental well-being.
  • Access to cutting-edge technologies and tools.
  • Engagement in meaningful projects that contribute to a sustainable energy future.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

Energy Exemplar offers an exciting opportunity for a Senior Software Engineer specializing in Generative AI. With a competitive salary and a flexible remote work environment, this role is perfect for those looking to make a significant impact in the energy sector.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python and Java programming languages, with a strong focus on building and deploying cloud-native applications using Azure services and containerization technologies like Docker and Kubernetes.

→

Self-motivated with a strong ability to work independently in a remote environment while effectively managing time and priorities, ensuring timely delivery of AI solutions and features.

→

Deep understanding of Generative AI, including experience with Retrieval-Augmented Generation (RAG) and Agentic AI frameworks, coupled with a debugging mindset to troubleshoot complex systems and optimize performance.

Learning Resources

→Python for Data Science and Machine Learning Bootcampcourse
→Azure Developer Learning Pathguide
→Building Generative AI Applicationsarticle

Career Path

Senior Software Engineer - Generative AI(Now)→Lead AI Architect(1-2 years)→Director of AI Solutions(3-5 years)

Market Overview

Market Size 2024
$40B
Annual Growth
24.5%
AI Adoption
75%
Investment in Generative AI
+150%
Labour Demand for Python Developers
+30%
Avg Salary for Senior Software Engineer
$145K

Skills & Requirements

Required
PythonJavaAzure
Growing in Demand
Machine LearningData EngineeringCloud Security
Declining
Ruby on RailsPHP

Domain Trends

Rise of Generative AI Applications
The generative AI market is expected to reach $22 billion by 2025, with a significant focus on applications in creative industries and software development.
Shift Towards Cloud-Native Development
Over 80% of organizations are adopting cloud-native architectures, which drives demand for skills in containerization and microservices.
Increased Focus on AI Ethics and Governance
With AI adoption at 75%, companies are investing over $10 billion annually in AI governance frameworks to ensure ethical use of AI technologies.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.