Full Stack Developer at Egen, focusing on Nest.js and Node.js for driving data insights. Building scalable applications on Google Cloud and ensuring high performance with frontend and backend technologies.
About the role
- Senior Software Engineer building agentic systems for workflow automation in customer communication platform. Collaborating across departments to understand and automate workflows using AI agents.
Responsibilities
- Partner with internal stakeholders to understand their daily workflows to surface and document those that can be automated with AI.
- Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations.
- Learn and contribute to prompt engineering strategies, with guidance on building agentic workflows, memory systems, and multi-step reasoning.
- Build and operate MCP Servers that can be called by AI Agents.
- Design and build proprietary agent libraries, prompting strategies and benchmarking frameworks.
- Build and operationalize AI solutions with retrieval techniques (e.g., RAG, vector DBs) for context-aware applications.
- Prototype, test, and optimize AI-powered applications, including retrieval-augmented generation, workflow automation, and agentic experiences.
- Collaborate with cross-functional teams to align AI features with user needs and business goals, gaining exposure to product and platform thinking.
- Stay current on advancements in AI technologies, frameworks, and best practices, and evangelize AI capabilities internally and externally.
- Provide technical support, documentation, and training to facilitate adoption and effective use of AI solutions.
- Participate in technical discussions, architecture reviews, and sprint planning.
- Contribute to knowledge sharing and technical documentation.
Requirements
- 6+ years of software engineering experience, with at least 2 years working directly on AI/ML-powered applications.
- Strong fluency in AI tooling (e.g. OpenAI APIs, Anthropic APIs).
- Strong proficiency with modern backend languages (Python, Go, or similar)
- Practical understanding of LLMs, prompt engineering and agentic architectures.
- High degree of ownership and comfort in experimental, fast-moving environments.
- Ability to take complete ownership of AI solutioning end-to-end starting from gathering requirements from stakeholders to deploying solutions in production.
Benefits
- Medical, dental, and vision insurance is 100% covered
- 401k plan with company matching!
- Unlimited PTO — take the time you need to come to work feeling great!
- Wellness, internet, and childcare reimbursements
- Generous parental leave policy
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