Energage

Energage

Energage is a company that specializes in building and branding top workplaces by leveraging research, technology, and expert guidance. Their platform helps organizations measure and improve their workplace culture, translate employee feedback into act...

Professional Services
51-250
Founded 2006
$15M raised

Description

  • Design and deliver AI-powered advisors, assistants, and analytic agents that reason over organizational data and context.
  • Build and maintain production-ready Python services and backend components that support AI applications.
  • Apply, adapt, and fine-tune foundation models such as OpenAI, Gemini, and Claude for reliable AI experiences.
  • Architect agentic AI systems that coordinate reasoning, planning, memory, and tool use.
  • Design and improve RAG pipelines and knowledge-grounded approaches for grounded AI responses.
  • Develop, test, and iterate on prompting strategies, agent behaviors, and interaction patterns.
  • Enable conversational analytics so users can explore data and generate insights through natural language.
  • Partner with product managers, engineers, and researchers to move AI capabilities from prototype to scalable features.
  • Monitor emerging Generative AI and Agentic AI trends and translate them into product innovation.
  • Communicate AI concepts, tradeoffs, and results clearly to technical and non-technical stakeholders.

Requirements

  • 5+ years of experience in applied AI, data science, or machine learning, with meaningful hands-on generative AI experience.
  • Strong Python expertise and experience building data-centric or AI-driven production services.
  • Practical experience working with LLM APIs such as OpenAI, Anthropic Claude, or Gemini.
  • Deep skill in prompt engineering, including structured prompt design, evaluation, and iteration for complex 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, or Autogen.
  • 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 strong ownership.
  • Experience embedding AI into SaaS or enterprise products, especially user-facing decision-support systems, preferred.
  • Hands-on experience designing or implementing MCP servers, preferred.
  • Experience using AI to interrogate data, generate insights, and support analytical reasoning via natural language interfaces, preferred.
  • Familiarity with vector databases and semantic search tools such as Pinecone, Weaviate, or Chroma, preferred.
  • Experience supporting AI-driven insights with analytics pipelines or data visualization, preferred.
  • Working knowledge of AWS, GCP, or Azure and containerized deployment with Docker or Kubernetes, preferred.
  • Interest or background in HR Tech, people science, employee experience, or organizational analytics, preferred.

Benefits

  • Annual salary range of $175,000 to $195,000 based on relevant experience.
  • Company bonus eligibility.
  • PTO policy including company holidays, sick time, vacation time, and floating holidays.
  • Remote work flexibility for employees in approved U.S. states.
  • Company pays a portion of individual health care premiums.
  • Option to participate in a company-sponsored 401(k).
  • Training and education support, including professional development access and a third-party professional coach.
  • Tuition reimbursement program.

Interested in this position?

Apply directly on the company website

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