What are the responsibilities and job description for the Software Engineer, AI/ML position at Kya?
Careers
Location New York City
Employment Type Full-time
Department Engineering
Compensation $120k–$220k Equity
Software Engineer, AI/ML
Careers
Location New York City
Employment Type Full-time
Department Engineering
Compensation $120k–$220k Equity
About Kya
The role
What you'll do
Location New York City
Employment Type Full-time
Department Engineering
Compensation $120k–$220k Equity
Software Engineer, AI/ML
Careers
Location New York City
Employment Type Full-time
Department Engineering
Compensation $120k–$220k Equity
About Kya
- ]:m-0 [&>* *]:mt-4 [&>* h2]:mt-16 [&>* h3]:mt-8 [&>* blockquote]:mt-8 [&>* figure]:mt-8 [&>blockquote *]:mt-8 [&>blockquote h2]:mt-16 [&>figure *]:mt-8 [&>h2 *]:mt-4 [&>h3 *]:mt-4">
The role
- ]:m-0 [&>* *]:mt-4 [&>* h2]:mt-16 [&>* h3]:mt-8 [&>* blockquote]:mt-8 [&>* figure]:mt-8 [&>blockquote *]:mt-8 [&>blockquote h2]:mt-16 [&>figure *]:mt-8 [&>h2 *]:mt-4 [&>h3 *]:mt-4">
What you'll do
- ]:m-0 [&>* *]:mt-4 [&>* h2]:mt-16 [&>* h3]:mt-8 [&>* blockquote]:mt-8 [&>* figure]:mt-8 [&>blockquote *]:mt-8 [&>blockquote h2]:mt-16 [&>figure *]:mt-8 [&>h2 *]:mt-4 [&>h3 *]:mt-4">
- Design and build the agent platform: planning, tool use, orchestration, and the guardrails that keep agents acting safely on customer data.
- Build the memory and retrieval layer that lets agents learn a customer's playbooks and get smarter with every account.
- Integrate and orchestrate LLMs (Claude, OpenAI, and others), and own prompting, context engineering, routing, and cost and latency tradeoffs in production.
- Stand up the evaluation and observability systems that tell us whether an agent is actually getting better, and catch regressions before customers do.
- Ship production services: the APIs, pipelines, and infrastructure behind agents that take millions of actions across our customers' stacks.
- Use Kya to build Kya, and turn what you learn into the next version of the platform.
- ]:m-0 [&>* *]:mt-4 [&>* h2]:mt-16 [&>* h3]:mt-8 [&>* blockquote]:mt-8 [&>* figure]:mt-8 [&>blockquote *]:mt-8 [&>blockquote h2]:mt-16 [&>figure *]:mt-8 [&>h2 *]:mt-4 [&>h3 *]:mt-4">
- A strong software engineer who ships. You write production code, own systems end to end, and care about correctness, latency, and cost in the real world.
- 4 years building and shipping production software, with hands-on experience putting LLM- or ML-powered features in front of real users.
- Real fluency with the modern AI stack: LLM APIs, RAG and retrieval, agent and tool-use patterns, and evaluation.
- Strong fundamentals in distributed systems, data pipelines, and API design.
- A bias toward shipping and iterating fast, and the judgment to know where reliability and safety can't be cut.
- Genuine excitement about agents, and about being early at a company building them.
- ]:m-0 [&>* *]:mt-4 [&>* h2]:mt-16 [&>* h3]:mt-8 [&>* blockquote]:mt-8 [&>* figure]:mt-8 [&>blockquote *]:mt-8 [&>blockquote h2]:mt-16 [&>figure *]:mt-8 [&>h2 *]:mt-4 [&>h3 *]:mt-4">
- Experience as an early or founding engineer at a startup.
- Experience with agent frameworks, vector databases, or building evaluation harnesses from scratch.
- Familiarity with CRM, support, or customer success data and integrations (Salesforce, HubSpot, Zendesk, Slack).
- Open-source work, side projects, or shipped agents you can show us.
- ]:m-0 [&>* *]:mt-4 [&>* h2]:mt-16 [&>* h3]:mt-8 [&>* blockquote]:mt-8 [&>* figure]:mt-8 [&>blockquote *]:mt-8 [&>blockquote h2]:mt-16 [&>figure *]:mt-8 [&>h2 *]:mt-4 [&>h3 *]:mt-4">
- Health & dental insurance
- Lunch & dinner
- In-person energy
- Competitive cash and equity compensation
Salary : $120,000 - $220,000