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🇮🇳 Hyderabad, India
Job Description GenAI Engineer Position: GenAI Engineer Experience: 6+ Years Location: PAN India Work Mode: Hybrid Employment Type: Full-Time Job Summary We are looking for an experienced GenAI Engineer with 6+ years of overall software/AI engineering experience and strong hands-on expertise in Generative AI, Large Language Models (LLMs), RAG, prompt engineering, and AI application development. The ideal candidate should have strong programming skills in Python and practical experience building, deploying, and optimizing production-grade GenAI solutions using modern AI/ML frameworks and cloud platforms.
Design, develop, and deploy Generative AI and LLM-based applications. Build enterprise-grade Retrieval-Augmented Generation (RAG) solutions. Work with LLMs such as OpenAI GPT, Azure OpenAI, Gemini, Claude, Llama, or equivalent models. Develop effective prompt engineering strategies for different business use cases. Implement document ingestion, chunking, embedding generation, retrieval, reranking, and response generation pipelines. Work with Vector Databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or Azure AI Search. Develop AI agents and agentic workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent. Integrate LLMs with enterprise applications using REST APIs and microservices. Apply for this position Location
🇮🇳 Hyderabad, India
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Develop Python-based AI/ML services and applications.
Implement model evaluation, hallucination detection, grounding, and response-quality measurement.
Optimize LLM applications for performance, scalability, latency, and cost.
Work on fine-tuning, model customization, or parameter-efficient techniques where required.
Implement security, authentication, data privacy, and responsible AI practices.
Deploy GenAI applications on cloud platforms such as Azure, AWS, or GCP.
Collaborate with data scientists, ML engineers, software engineers, architects, and business stakeholders.
Troubleshoot production issues and continuously improve AI solutions. Mandatory Skills SkillRequirement Generative AI / LLM Mandatory Python Mandatory – Strong RAG Mandatory Prompt Engineering Mandatory LLM APIs Mandatory LangChain / LangGraph / Semantic Kernel Mandatory – Any one or more Vector Database Mandatory REST APIs / Microservices Mandatory Machine Learning / NLP Mandatory Cloud – Azure/AWS/GCP Mandatory Git / CI-CD Good experience Strong LLM & Generative AI • OpenAI / Azure OpenAI • Google Gemini • Anthropic Claude • Meta Llama or equivalent open-source LLMs • Prompt engineering • Function calling / tool calling • Structured outputs • LLM evaluation • Hallucination mitigation • Guardrails RAG & Knowledge Systems • Document processing and ingestion • Text chunking strategies • Embeddings • Semantic search • Hybrid search • Reranking • Vector databases • Retrieval optimization • Metadata filtering • Context management AI Agent Development • Agentic AI • Tool/function calling • Multi-agent workflows • LangGraph • LangChain • Semantic Kernel • Agent orchestration • Memory management Python & Application Development • Python • FastAPI / Flask • REST APIs • Microservices • JSON • Git • Docker Cloud & Deployment Experience with one or more: • Microsoft AzureAzure OpenAI • Azure AI Search • Azure AI Services • Azure Functions • Azure Kubernetes Service • AWSAmazon Bedrock • SageMaker • Lambda • OpenSearch • GCPVertex AI • Gemini • BigQuery • Cloud Run
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