Position: Generative AI Engineer
Experience: 5 to 10 years
Notice Period: 0-90 Days
Location: Hyderabad
Required Information
Job Description – Software Engineer (LLM/GenAI Focus)
About the Role
This is a Full Stack Software Development Engineer role within the conversational AI platform (customer/associate-facing) team, responsible for building next-generation conversational AI, intelligent search, and knowledge systems that power customer and associate experiences across multiple channels.
This role requires hands-on expertise in designing, developing, and productionizing scalable, secure, and enterprise-grade GenAI solutions across cloud and on‑premise environments.
Key Responsibilities
Design and develop LLM-powered applications for conversational AI, knowledge retrieval, and insights delivery
Build and orchestrate end-to-end GenAI pipelines, including prompt engineering, RAG, and agent-based workflows
Develop and manage LLM agents (tool usage, API integration, function calling)
Integrate LLMs across cloud and on-prem/open-source environments




Build RAG data pipelines (chunking, indexing, metadata enrichment)
Implement evaluation frameworks covering accuracy, hallucination, latency, safety, and validation (LLM-as-judge, human-in-loop)
Apply AI safety and guardrails, including prompt injection prevention and response validation
Optimize models using prompt tuning, embeddings, and fine-tuning techniques
Develop multimodal conversational experiences (text and voice)
Build scalable backend services using microservices and REST APIs
Enable observability (latency, token usage, cost, drift, quality monitoring)
Contribute to POCs, experimentation, and adoption of emerging GenAI technologies

Required Skills
Core Engineering
Robust proficiency in:
Java / J2EE, Spring Boot, RESTful APIs
Python for AI/ML and GenAI workflows
Experience in building distributed systems and microservices architectures

GenAI & LLM Expertise
Hands-on experience with LLM frameworks (LangChain, Lan

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