Staff Software Engineer - GenAI

Key Responsibilities<\/span><\/span><\/b>
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  • Research and implement Generative AI use cases<\/b> using LLMs\n (text, voice, image, or multimodal).<\/span><\/span>
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  • Build prototypes using frameworks such as LangChain, LlamaIndex<\/b><\/span><\/span>
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  • Design and optimize prompts<\/b> for accuracy, safety, and\n performance.<\/span><\/span>
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  • Implement RAG (Retrieval\u2011Augmented Generation)<\/b> pipelines\n using vector databases.<\/span><\/span>
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  • Integrate AI models via APIs or open\u2011source models (OpenAI, Azure\n OpenAI, Hugging Face, local LLMs).<\/span><\/span>
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  • Work on AI agents<\/b>, tools, and orchestrations (function\n calling, workflows).<\/span><\/span>
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  • Evaluate model outputs using metrics like relevance, hallucination\n rate, latency, and cost.<\/span><\/span>
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  • Assist in deploying GenAI applications using Docker and cloud\n platforms preferably Azure.<\/span><\/span>
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  • Collaborate with product, data, and engineering teams<\/span><\/span>
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  • Document experiments, findings, and best practices.<\/span><\/span>
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  • Mentor engineers and drive best practices<\/span><\/span>
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    Requirements<\/h3>

    Required\nSkills<\/span><\/span><\/b>
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    • 3+ years of professional experience and 2+ years of experience in\n GenAI.<\/span><\/span>
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    • Strong experience in Python or Java<\/span><\/span>
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    • Hands\-on with LLMs, prompt engineering, and RAG<\/span><\/span>
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    • Experience with LangChain, LlamaIndex, or similar<\/span><\/span>
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    • Knowledge of vector databases (FAISS, Pinecone, etc.)<\/span><\/span>
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    • Experience with cloud platforms (Azure preferred)<\/span><\/span>
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    • Understanding of microservices and distributed systems<\/span><\/span>
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    • Basic experience with Git and REST APIs.<\/span><\/span>
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      Ability\nto read research blogs or documentation and implement ideas quickly.<\/span><\/span>
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      Benefits<\/h3>

      Benefits<\/span><\/span><\/b>
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      • Hands\u2011on exposure to modern GenAI stacks<\/b><\/span><\/span>
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      • Certificate / Letter of Recommendation<\/span><\/span>
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      • Access to real\u2011world datasets and use cases<\/span><\/span>
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