Enverus Careers

The Team:   

You will join our software engineering team at the forefront of innovation in the energy industry. Our highly collaborative and agile group is dedicated to prototyping and leveraging cutting-edge technologies to develop new products and solutions. Join us and help pioneer Enverus’s mission to drive the future of energy. 

Performance Objectives 

• Lead and mentor a small team of engineers, providing technical direction, code review, and day-to-day guidance while remaining an active, hands-on contributor.
• Collaborate across multiple concurrent projects and workstreams, balancing your own coding time with team leadership and cross-team coordination.
• Develop robust and scalable backend solutions, integrating them with various AWS services.
• Design, build, and maintain data processing pipelines leveraging various AWS services.
• Design and build AI-powered and agentic features — e.g., LLM-based services, retrieval-augmented generation (RAG), and multi-agent workflows — as part of our product roadmap.
• Evaluate and apply Gen-AI tooling (LLM APIs, vector databases, orchestration frameworks) to improve product capability and engineering velocity.
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions, ensuring alignment with best practices and AWS architecture principles.
• Write maintainable code in a professional agile software engineering environment (source control, shortened release cycles, continuous integration/deployment, etc.).
• Optimize application performance and scalability by fine-tuning AWS resources and leveraging advanced techniques.
• Drive technical decision-making, including architecture reviews, technology evaluations, and trade-off discussions with peers and leadership. 

Competitive Candidate Profile 

• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in software development, including at least 2–3 years leading or mentoring engineers (formally or informally).
• Ability to work from 3 PM IST
• Demonstrated experience managing or guiding a small team while staying hands-on with coding — this is not a purely people-management role.
• Deep, hands-on expertise numerous programming languages, relational databases, source control, and CI/CD.
• Strong understanding of software architecture principles, design patterns, and best practices, with the judgment to make and defend technical trade-offs.
• Experience with cloud platforms such as AWS.
• Practical experience with AI/LLM and agentic engineering — e.g., building with LLM APIs, prompt/context engineering, RAG pipelines, vector stores, or agent orchestration frameworks (such as LangGraph, AutoGen, or similar).
• Proficiency in Data Structures and Algorithms, with strong mathematical problem-solving abilities.
• Familiarity with front-end and back-end technologies and frameworks.
• Proven ability to work across multiple projects simultaneously, prioritizing effectively under shifting demands.
• Excellent leadership, team management, and mentoring skills.
• Strong problem-solving and analytical skills.
• Effective communication and interpersonal skills, comfortable collaborating with North American teams.
• Ability to prioritize, raise issues, and resolve challenging problems promptly to meet business deadlines.
• Self-motivated, task-oriented personality with a strong work ethic and desire to learn.  

Nice to have

• Hands-on experience fine-tuning or evaluating LLMs, or building production agentic systems.
• Experience with MCP (Model Context Protocol) or similar tool-calling/agent standards.
• Exposure to observability tooling for AI systems (e.g., Langfuse, Phoenix) or LLMOps practices.
• Prior experience in the energy, SaaS, or data-analytics domain.