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SeniorFull-timeTypeScriptPythonAINLP
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We're looking for a Senior Agent Engineer to push the boundaries of what AI agents can do at Pika. You'll work on the systems that give AI agents their personality, memory, reasoning, multi-modal capabilities, and ability to act autonomously across platforms. This is the core of what makes Pika's AI products feel alive.
Key Responsibilities
- →Design and evolve the agent runtime — the core loop that handles reasoning, tool use, memory retrieval, and response generation
- →Build agent capabilities — image generation, voice synthesis, video creation, web browsing, code execution, and other skills
- →Optimize LLM integration — prompt engineering, context window management, multi-provider model routing (Claude, GPT, Gemini, open-source), cost optimization, and latency reduction
- →Implement memory systems — long-term memory, working memory, episodic recall, and semantic search so agents learn from every interaction
- →Design autonomous behaviors — proactive actions, scheduled tasks, and goal-directed behavior that makes agents feel self-directed
- →Build evaluation and quality systems — benchmarks, A/B testing, and metrics for agent behavior, personality consistency, and response quality
- →Experiment with new architectures — multi-agent collaboration, planning, chain-of-thought reasoning, and other emerging patterns
- →Collaborate with product and design to translate AI capabilities into intuitive user experiences
Requirements
- ✓5+ years of software engineering experience, with 2+ years working with LLMs or AI agent systems
- ✓Deep understanding of LLM capabilities and limitations — you know how to get the best out of frontier models
- ✓Experience building agent systems — tool use, function calling, multi-step reasoning, retrieval-augmented generation (RAG)
- ✓Strong prompt engineering skills — system prompts, few-shot learning, chain-of-thought, structured output
- ✓Proficiency in TypeScript and/or Python
- ✓Understanding of embedding models and vector search for memory and retrieval
- ✓Comfortable with rapid experimentation — you ship experiments, measure results, and iterate
- ✓Product intuition — you understand what makes an AI agent feel "alive" vs. robotic
- ✓Clear communication skills and a team-first mindset
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