Referso Jobs

Founding Engineer, NLP Systems & Infrastructure

Clera-AI · Posted Nov 5, 2026

Open

Munich, Bavaria, Germany
On-site
Full-time · Senior
€60K–€120K per year

Founding Engineer, NLP Systems & Infrastructure

Clera-AI · Posted Nov 5, 2026

Open

Munich, Bavaria, Germany
On-site
Full-time · Senior
€60K–€120K per year

Senior Product Manager

bunch · Posted Nov 4, 2026

Open

Berlin, Germany
Hybrid
Full-time · Senior
6+ years

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Lead product strategy and execution for the Integrations & AI Foundations platform, driving API, MCP, document parsing, retrieval, and AI agent services.

Responsibilities

Set platform strategy and sequencing across five areas
Run APIs as a product: contracts, versioning, deprecation, rate limits, SLAs, Developer Portal and documentation
Define and launch the customer-facing MCP offering
Generalise document parsing for broader use
Shape retrieval and agentic layer as services with access control and guardrails

Requirements

Nice to have: fintech
Nice to have: fund administration
Nice to have: private markets
Nice to have: EU-regulated environment
Nice to have: developer portal

Skills

product management platform product API product developer-facing products public APIs REST GraphQL

GCP Data Engineer (Vertex AI)

Capgemini · Posted Nov 3, 2026

Open

Hartford, Connecticut, United States
Hybrid
Full-time
$105K–$115K per year
4–8 years

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Build test and deploy production GenAI solutions on Google Cloud for insurance clients document summarization intelligent intake underwriting and claims assistants and agentic workflows You turn architecture into working code and own features from prototype to production.

Compensation

The base compensation range for this role in the posted location is: $105,000 - $115,000

Responsibilities

Build GenAI applications with Gemini models on Gemini Enterprise Agent Platform Vertex AI
Design and tune prompts structured outputs and function calling for insurance documents submissions ACORD forms COIs loss runs policies
Build RAG pipelines chunking embeddings Vector Search Vertex AI Search grounding and citations
Build agents with the Agent Development Kit ADK and deploy them on Agent Engine integrate tools and APIs
Extract and classify documents with Document AI and Gemini multimodal input

Requirements

Nice to have: Insurance domain PC ES specialty workers comp or financial services
Nice to have: Document AI custom extractors OCR on scanned or handwritten forms
Nice to have: Agent2Agent A2A protocol or Model Context Protocol MCP tool integration
Nice to have: Model tuning supervised finetuning on Gemini and model monitoring
Nice to have: Terraform

Skills

Python

Data Science Practitioner

Accenture Infrastructure and Capital Projects, LLC · Posted Nov 3, 2026

Open

Hyderabad, Telangana, India
6+ years

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Build and productionize NLP and generative AI capabilities for real‑time, high‑scale enterprise applications, focusing on prompt engineering, RAG, and conversational AI experiences.

Responsibilities

Design, fine‑tune, and optimize prompts for production LLM features
Build agentic workflows to orchestrate RAG pipelines and multi‑step evaluation/validation tasks
Apply classical NLP techniques using transformer models alongside LLMs
Develop and deploy real‑time inference APIs to serve AI features to production applications at scale
Integrate speech‑to‑text and text‑to‑speech capabilities for conversational/simulation use cases

Requirements

Bachelor's/master's in data science, Computer Science, Statistics, or related field
Nice to have: Knowledge graph / graph-based retrieval techniques for RAG
Nice to have: Production deployment experience across multiple major cloud platforms
Nice to have: Speech‑to‑text/text‑to‑speech integration experience
Nice to have: No‑code/low‑code platforms

Skills

Python NLP fundamentals Transformer models LLM and agentic tooling

Founding Engineer, NLP Systems & Infrastructure

Founding Engineer, NLP Systems & Infrastructure

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Senior Product Manager

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GCP Data Engineer (Vertex AI)

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Data Science Practitioner

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Vector store jobs

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