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Application Support Engineer
Job Description
Role Overview:
We are seeking a highly motivated and technically skilled GenAI Automation Specialist to join our Automation & Asset Development & Deployment team. This role will focus on designing, developing, and optimizing generative AI solutions using Python and large language models (LLMs). You will be instrumental in building intelligent automation workflows, refining prompt strategies, and ensuring scalable, secure AI deployments.
Key Responsibilities:
Design, test, and optimize prompts for LLMs to support use cases which benefit the infra & application managed services.
Build and maintain Python-based microservices and scripts for data processing, API integration, and model orchestration.
Collaborate with SMEs to convert business requirements into GenAI-powered workflows, including chunking logic, token optimization, and schema transformation.
Work with foundation models and APIs (e.g., OpenAI, Vertex AI, Claude Sonnet) to embed GenAI capabilities into enterprise platforms.
Ensure all AI solutions comply with internal data privacy, PII masking, and security standards.
Conduct A/B testing of prompts, evaluate model outputs, and iterate based on SME feedback.
Maintain clear documentation of prompt strategies, model behaviours, and solution architectures.
Required Skills:
Strong proficiency in Python, including experience with REST APIs, data parsing, and automation scripting.
Deep understanding of LLMs, prompt engineering, and GenAI frameworks (e.g., LangChain, RAG pipelines).
Familiarity with data modelling, SQL, and RDBMS concepts.
Experience with agentic workflows, token optimization, and schema chunking.
We are seeking a highly motivated and technically skilled GenAI Automation Specialist to join our Automation & Asset Development & Deployment team. This role will focus on designing, developing, and optimizing generative AI solutions using Python and large language models (LLMs). You will be instrumental in building intelligent automation workflows, refining prompt strategies, and ensuring scalable, secure AI deployments.
Key Responsibilities:
Design, test, and optimize prompts for LLMs to support use cases which benefit the infra & application managed services.
Build and maintain Python-based microservices and scripts for data processing, API integration, and model orchestration.
Collaborate with SMEs to convert business requirements into GenAI-powered workflows, including chunking logic, token optimization, and schema transformation.
Work with foundation models and APIs (e.g., OpenAI, Vertex AI, Claude Sonnet) to embed GenAI capabilities into enterprise platforms.
Ensure all AI solutions comply with internal data privacy, PII masking, and security standards.
Conduct A/B testing of prompts, evaluate model outputs, and iterate based on SME feedback.
Maintain clear documentation of prompt strategies, model behaviours, and solution architectures.
Required Skills:
Strong proficiency in Python, including experience with REST APIs, data parsing, and automation scripting.
Deep understanding of LLMs, prompt engineering, and GenAI frameworks (e.g., LangChain, RAG pipelines).
Familiarity with data modelling, SQL, and RDBMS concepts.
Experience with agentic workflows, token optimization, and schema chunking.
More Info
Key Skills
LangChain
LLMs
token optimization
agentic workflows
data parsing
schema chunking
RAG pipelines
About Company
Skills:
Database Optimization, Ms Sql Server, Performance Tuning, Etl Tools, Data Warehousing, Sql Scripting, T24 Data Model, Indexing, Oracle Analytics Server
Skills:
Linux, MySQL, Routing, Shell scripting, Ssh, Python, Ftth, ip networking, CEN, Mpls, Switching
Skills:
Apis, Cybersecurity, Sql, Microsoft 365, Data Privacy, Data Integration, no-code automation platforms, Google Workspace, webhooks, access management, IT service-management helpdesk platforms, compliance frameworks