or apply directly on Conviva's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 82 days Conviva's roles stay open a median of 82 days
- Reposted
- No
- Salary listed
- No 63% of Conviva's roles list one
- Ghost-job risk at Conviva
- high 7 stale, 0 reposted of 8 open
- Hiring momentum
- 12 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from Conviva's own greenhouse board since 2026-08-03. Full hiring picture for Conviva.
About this role
As an AI Engineer focusing on Agent Analytics & Optimization at Conviva, you will design and build systems that enable AI agents to utilize Conviva's behavioral data. Your responsibilities will include developing MCP servers, architecting agentic workflows, and creating AI connectors for integration with external systems. This role emphasizes building production systems rather than research or prototyping, with a strong focus on reliability and collaboration with product teams and customers.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Conviva as an employer.
What you need
- 3–7+ years of software engineering experience, with production systems shipped end-to-end
- Strong Python backend fundamentals; comfortable owning services from design through deployment
- Hands-on experience building and operating LLM-powered agents in production
- Practical familiarity with agentic patterns: tool use, structured outputs, prompt chaining, multi-agent coordination
- Experience designing/building MCP servers or equivalent tool-use / AI connector integrations
- Have used evals to validate and debug agent behavior
Nice to have
- Experience with agentic frameworks (LangGraph, Anthropic SDK, Pydantic-AI, CrewAI, or similar)
- Agent observability/tracing (Langfuse, LangSmith, OpenTelemetry, or homegrown)
- Background in digital experience analytics, observability, or APM
- Familiarity with agent evaluation or LLM-ops tooling
- Published writing, talks, or open-source work at the intersection of engineering and AI
What you get
- Competitive compensation, equity, and benefits
Worth weighing
- No specific mention of remote work options, but a hybrid role is suggested
- The role is heavily focused on production systems rather than research or prototyping, which may limit exploration of cutting-edge AI techniques
- Salary range provided, but actual compensation depends on qualifications and experience, which may vary widely
Summarised from Conviva's posting. Read the full original.
Listed by Conviva on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
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