Responsibilities
- Design and deliver AI-powered advisors, assistants, and analytic agents that reason over organizational data, context, and knowledge to support real workplace decisions.
- Build and maintain high-quality, production-ready Python services that power AI applications and backend services that integrate into Energage's platform.
- Apply, adapt, and fine-tune foundation models (OpenAI, Gemini, Claude, etc.) to deliver reliable, context-aware, and explainable AI experiences.
- Architect agentic AI systems that coordinate reasoning, planning, and tool use using frameworks such as CrewAI, LangChain, Autogen, or similar.
- Design and evolve RAG pipelines and knowledge-based approaches, enabling AI systems to ground responses in organizational data and domain expertise.
- Develop and systematically test prompting strategies, agent behaviors, and interaction patterns to optimize accuracy, robustness, and user trust.
- Enable conversational analytics, allowing users to explore data, generate insights, and answer complex questions through natural language.
- Partner closely with product managers, engineers, and researchers to move AI Capabilities from prototype to scalable, production-ready features.
- Stay current with emerging trends in Generative AI and Agentic AI, translating emerging techniques into practical product innovation.
- Clearly communicate AI concepts, tradeoffs, and insights to both technical and non-technical stakeholders.
- One or more AI advisors or analytic agents you've designed are in production and actively used by customers.
- AI outputs are demonstrably grounded in data and trusted by users.
- Prompting, evaluation, and agent patterns you've established become reusable standards across the team.
- Product and engineering partners rely on you as a thought partner for AI-driven decision support. You help raise the overall bar for applied AI quality, safety, and clarity at Energage.
Basic qualifications
- 5+ years of experience in applied AI, data science, or machine learning, with meaningful hands-on work in generative AI.
- Strong Python expertise, with experience building data-centric or AI-driven services used in production environments.
- Practical experience working with LLM APIs (OpenAI, Anthropic Claude, Gemini, etc.).
- Deep skill in prompt engineering, including structured prompt design, evaluation, and iteration for complex, multi-step reasoning tasks.
- Solid understanding of agentic AI concepts, such as multi-agent coordination, planning, tool invocation, and memory.
- Experience designing and implementing RAG architectures, including vector search and knowledge-grounded reasoning.
- Familiarity with AI agent frameworks such as CrewAI, LangChain, Autogen, or similar tools.
- Track record of delivering production-quality AI solutions, including testing, monitoring, and iterative improvement.
- Strong communication skills and the ability to explain AI behavior, limitations, and outcomes clearly.
- Comfort operating in ambiguous, early-stage problem spaces, with curiosity and a strong sense of ownership.
Preferred qualifications
- Experience embedding AI into SaaS or enterprise products, especially user-facing, decision-support systems.
- Hands-on experience designing or implementing MCP servers to expose tools, data, or workflows for agentic systems.
- Experience using AI to interrogate data, generate insights, and support analytical reasoning via natural language interfaces.
- Familiarity with vector databases and semantic search technologies (e.g., Pinecone, Weaviate, Chroma).
- Experience supporting AI-driven insights with analytics pipelines or data visualization.
- Working knowledge of cloud platforms (AWS, GCP, Azure) and containerized deployment (Docker, Kubernetes), without a focus on heavy infrastructure ownership.
- Interest or background in HR Tech, people science, employee experience, or organizational analytics.
Benefits
- PTO policy includes company holidays, sick time, vacation time, and floating holidays
- Remote
- Company pays a portion of individual health care premium
- Option to participate in a company-sponsored 401(k)
- Training and education
- Professional development; all employees have access to a third party professional coach
- Tuition reimbursement program
- Opportunity to work for a purpose-driven organization using business as a force for good (https://www.bcorporation.net/)
- Arizona
- Delaware
- Florida
- Georgia
- Maryland
- Michigan
- North Carolina
- Nebraska
- New Jersey
- New York STATE (NYC residents excluded)
- Pennsylvania
- South Carolina
- Tennessee
- Texas
- Wisconsin
Tags & focus areas
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