Senior GenAI
Project # 212565
Job Statistics
| 10 Bids |
budget
10,000 ILS - 25,000 ILS
|
bidding ends in
47
days,
12
hrs,
41
mins
|
bid range
120
ILS
-
650
ILS
/ hour
250
ILS
-
39,000
ILS
/ project
|
average bid
353
ILS
/ hour
19,625
ILS
/ project
|
Job Info And Actions
Posted:
13:32, 31 Mar., 2026
Ends:
15:43, 20 May., 2026
Senior GenAI
We are building a new initiative focused on scaling Generative AI across the organization: from LLM-based applications and AI agents to enterprise knowledge systems and developer productivity tools.
This role combines hands-on development, architecture, and real organizational impact, enabling the adoption of cutting-edge AI technologies in complex environments.
Key Responsibilities & Requirements:
Experience with LLMs (evaluation, deployment, prompt engineering, safety)
Hands-on experience with AI Agents (e.g., Copilot, Copilot Studio, or similar)
Strong experience with RAG systems and enterprise data integration
Development experience with AWS Bedrock and LLM-based solutions
Full-stack development (frontend & backend) with AI integration
Familiarity with AI research tools (including work in restricted / air-gapped environments)
Experience with AI-assisted coding tools
Ability to build internal AI platforms / portals
Experience in training, enablement, and driving adoption
Strong research mindset and ability to identify new AI use cases
This role combines hands-on development, architecture, and real organizational impact, enabling the adoption of cutting-edge AI technologies in complex environments.
Key Responsibilities & Requirements:
Experience with LLMs (evaluation, deployment, prompt engineering, safety)
Hands-on experience with AI Agents (e.g., Copilot, Copilot Studio, or similar)
Strong experience with RAG systems and enterprise data integration
Development experience with AWS Bedrock and LLM-based solutions
Full-stack development (frontend & backend) with AI integration
Familiarity with AI research tools (including work in restricted / air-gapped environments)
Experience with AI-assisted coding tools
Ability to build internal AI platforms / portals
Experience in training, enablement, and driving adoption
Strong research mindset and ability to identify new AI use cases
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