Engineer GCP Data - L1
Hyderabad, Ind-36, IN, 500032
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingImplement AI-infused feature slices - prompt templates, RAG retrieval, and tool-calling -against agreed acceptance criteria.
Monitor features for latency, token cost, and error rates, and tune prompts and context to meet performance budgets.
From the employer’s posting
Key Responsibilities: Implement AI-infused feature slices - prompt templates, RAG retrieval, and tool-calling -against agreed acceptance criteria. Use GitHub Copilot and AI-assisted code generation to scaffold and refactor code, reviewing every suggestion for correctness and security before integration.
Validate model outputs for grounding, format, and safety, and add regression checks that catch hallucination and drift. Monitor features for latency, token cost, and error rates, and tune prompts and context to meet performance budgets. Debug non-deterministic failures across the prompt–retrieval–tool chain and implement error-handling fallbacks.
What you’ll bring
All qualificationsCore experience
- 3-5 years of experience
- Mandatory skill: GCP BigQuery
Qualification wording
Experience: 3-5 Years
Mandatory Skills: GCP BigQuery
Tools in this posting
- Java
- Python
- TypeScript
- BigQuery
- GCP
Source — Tool mentions in context
Working understanding of AI application development patterns— prompt orchestration, retrieval-augmented generation (RAG), and tool-calling. Hands-on coding ability in a mainstream stack (Python, TypeScript/Node, or Java) and familiarity using AI pair-programming assistants such as GitHub Copilot. Familiarity with integrating foundation-model APIs into application back-ends via SDKs, function/tool schemas, and orchestration frameworks.
͏ Mandatory Skills: GCP BigQuery . Experience: 3-5 Years .
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 1 day ago
- Recorded sightings
- 18
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
Job Function:
Builds AI-infused, user-facing applications by integrating foundation models, RAG, agentic patterns, and AI-assisted development into production software.
Core skills: AI-Native Engineering; Generative AI Prompt Engineering; AI assisted code generation
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Qualifications and Skills:
Working understanding of AI application development patterns— prompt orchestration, retrieval-augmented generation (RAG), and tool-calling.
Hands-on coding ability in a mainstream stack (Python, TypeScript/Node, or Java) and familiarity using AI pair-programming assistants such as GitHub Copilot.
Familiarity with integrating foundation-model APIs into application back-ends via SDKs, function/tool schemas, and orchestration frameworks.
Basic knowledge of designing microservices and REST/GraphQL APIs that expose AI capabilities to front-end and downstream consumers.
Ability to validate AI outputs for correctness, grounding, and safety, and to instrument latency, token cost, and failure modes.
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Experience Requirements:
Has built or contributed to at least one AI-enabled application, feature, RAG assistant or agentic workflow through academic, personal or professional projects.
Experience using AI-assisted coding tools to accelerate software development while validating generated code for correctness.
Familiarity with integrating LLM or foundation model APIs into applications.
Exposure to Agile development practices, Git, CI/CD and code review processes.
Exposure to debugging AI application behaviour, including prompt failures, hallucinations and response quality issues.
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Key Responsibilities:
Implement AI-infused feature slices - prompt templates, RAG retrieval, and tool-calling -against agreed acceptance criteria.
Use GitHub Copilot and AI-assisted code generation to scaffold and refactor code, reviewing every suggestion for correctness and security before integration.
Integrate foundation-model APIs into microservices and expose them through clean REST/GraphQL APIs
Validate model outputs for grounding, format, and safety, and add regression checks that catch hallucination and drift.
Monitor features for latency, token cost, and error rates, and tune prompts and context to meet performance budgets.
Debug non-deterministic failures across the prompt–retrieval–tool chain and implement error-handling fallbacks.
͏
Mandatory Skills: GCP BigQuery .
Experience: 3-5 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Source details
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- Location & working pattern
Hyderabad, Ind-36, IN, 500032
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