# TALENDICA — AI Solutions Engineer

- Generated: 2026-09-10 07:40:41 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4465327479/
- Provider: LinkedIn
- Posted: approximately 2026-09-09 04:40 PM EDT (from '15 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp
- Applicants: 61 applicants
- Work model/location: New York City, NY; 12-month engagement with no remote designation
- Compensation: Not disclosed
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: FAIL — 84%

## Direct-match strengths

Production full-stack AI, distributed cloud-native systems, APIs, event-driven architecture, RAG, LLM orchestration, prompts, evaluation, guardrails, Python services, CI/CD, testing, observability, AWS, vectors, Kafka, regulated environments, and distributed teams.

## Hard or material gaps

Hard location/work-model conflict: the posting specifies New York City with no remote option, while Keith permits remote U.S. or Massachusetts roles. Compensation is undisclosed for a non-Director/VP/Chief title. Azure is preferred rather than mandatory; Python satisfies the Java-or-Python requirement.

## Evidence map

1. Production full-stack systems (weight 3, evidence 3/3) — Direct full-stack SaaS and long-running production platform experience.
2. Cloud-native distributed architecture (weight 3, evidence 3/3) — Direct APIs, event-driven services, data, AWS, reliability, and security.
3. Production GenAI (weight 3, evidence 3/3) — Direct AssistX production implementation.
4. RAG, orchestration, prompts, evals, guardrails (weight 3, evidence 3/3) — Direct hands-on evidence.
5. Python or Java (weight 2, evidence 3/3) — Direct Python experience satisfies the either/or requirement.
6. CI/CD, tests, and observability (weight 2, evidence 3/3) — Direct supported experience.
7. Location/work model (weight 3, evidence 0/3) — NYC engagement with no remote designation conflicts with constraints.
8. Compensation (weight 3, evidence 0/3) — Undisclosed for a non-qualifying title.

## Keyword diagnostic

Strong technical match, independently disqualified by location/work model and compensation.

## Full normalized job description

Position: AI Solutions Engineer
Location: NYC, NY
Duration: 12 Months
Required Skills
AI‑first builder mindset
, designing reusable solutions for scale and impact, with clear technical communication
6+ years building and operating
production full‑stack systems
at scale
Hands‑on experience with
distributed, cloud‑native architectures
(APIs, data, event‑driven systems)
Strong foundation in
system design, scalability, resiliency, security, and observability
Hands‑on, production experience building AI/GenAI‑powered applications
, not just experimentation or POCs
Applied GenAI expertise including
RAG, LLM integration/orchestration, prompt design, and evaluation/guardrails
Proficiency in
Java and/or Python
with modern frameworks (e.g., Spring Boot, Python services)
Experience with CI/CD,
automated testing, and production observability
Desired Skills
Public cloud experience (
Azure preferred
)
Experience building
internal platforms, frameworks, or developer tooling
Familiarity with
vector databases, embeddings, Kafka, or high‑volume messaging systems
Experience in
regulated or financial services environments
Experience working with
globally distributed engineering teams

## Artifact metadata

- Resume: Not generated because the fit gate returned FAIL.
- Cover letter: Not generated because the fit gate returned FAIL.
- LinkedIn note: Not generated for a FAIL role.
- Google Drive used: No