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AI​/LLM Engineer

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Genisys Group
Full Time position
Listed on 2026-02-26
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: Bengaluru

AI / LLM Engineer
Engagement Type:  Full-time

Experience:

5–8 years

Role Overview
We are looking for an  AI / LLM Engineer  with hands-on experience building  agentic AI workflows  to convert written product requirements into executable test scenarios. The role focuses on  prompt engineering, agent orchestration, and structured output generation , not model training.

Key Responsibilities
Design and implement  agentic workflows  that:
Interpret requirement documents (PRDs, Confluence pages)
Extract user behaviors and test scenarios
Build  LLM-powered agents  that produce:
Structured scenario representations
BDD / Gherkin-formatted test cases
Integrate LLM outputs with:
UI automation flows (Playwright-based)
Enforce:
Strict output schemas
Controlled behavior to avoid hallucination
Iterate prompts and agent logic based on QA feedback
Support demos and POC reviews

Required Skills
Hands-on experience with  Large Language Models (LLMs)  such as OpenAI, Anthropic, or any similar open source models
Experience building  agentic AI systems  (goal-driven, tool-using workflows)
Strong proficiency in  Python
Prompt engineering for structured and deterministic output
Experience working with unstructured text (documents, specs)

Required Tools / Frameworks Experience
Candidates should have experience with  some  of the following:
Agent frameworks:
Lang Chain
Lang Graph
CrewAI
Auto Gen
LLM tooling & SDKs:
OpenAI SDK
Anthropic SDK
Azure OpenAI
Structured output & validation:
Pydantic / JSON Schema
Function calling / tool calling
Basic retrieval:
Simple RAG patterns (optional, lightweight)

Nice to Have
Understanding of  software testing concepts
Familiarity with  BDD / Gherkin
Experience working on internal developer tools or automation POCs
Exposure to browser automation concepts (Playwright / Selenium)

Success Criteria
Agent produces  clear, structured, and executable test scenarios
Outputs are accepted by QA with minimal manual edits
Demonstrates traceability from requirements → scenarios → execution

Interested candidates to share updated resumes to :
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