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Senior AI Engineer / Data Engineer

Fresher   Pune, Maharashtra   18 Jul, 2025
Job LocationPune, Maharashtra
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    You will be joining the engineering team at STAND 8 as a Senior AI Engineer / Data Engineer where you will play a key role in developing cutting-edge AI-powered business solutions. Your primary focus will be designing and optimizing AI systems that utilize advanced large language models, real-time AI interactions, and state-of-the-art retrieval architectures. Your contributions will directly impact products that are revolutionizing various business operations, especially in areas such as recruitment, data extraction, and decision-making processes.As a Senior AI Engineer / Data Engineer at STAND 8, your responsibilities will include designing, building, and enhancing AI-powered systems that incorporate multi-modal architectures encompassing text, voice, and visual elements. You will also be tasked with integrating and deploying large language model (LLM) APIs from providers like OpenAI, Anthropic, and AWS Bedrock, as well as constructing and managing Retrieval-Augmented Generation (RAG) systems with hybrid search capabilities, re-ranking functionalities, and knowledge graphs. Additionally, you will develop real-time AI features using streaming analytics and voice interaction tools, build APIs and pipelines to support AI workflows, process unstructured documents with layout and semantic understanding, implement predictive models, and deploy scalable solutions using various AWS services. Your role will also involve utilizing Docker for containerization, managing CI/CD workflows, version control through Git, debugging, monitoring, and optimizing performance for large-scale data pipelines, and collaborating with cross-functional teams consisting of product, data, and engineering professionals.To qualify for this role, you should possess at least 5 years of experience in AI/ML or data engineering with Python in production environments. Hands-on experience with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain is essential, along with expertise in vector databases like PGVector, Weaviate, FAISS, or Pinecone, a strong grasp of NLP, document extraction, and text processing, proficiency in AWS cloud services, experience with FastAPI or similar frameworks, familiarity with embedding models, prompt engineering, and RAG systems, knowledge of asynchronous programming, Docker, Git workflows, CI/CD pipelines, and testing best practices.Preferred qualifications include a background in HRTech or ATS integrations, knowledge of knowledge graphs for semantic relationships, experience with real-time AI systems and voice AI tools, advanced Python development skills, large-scale data processing experience, event-driven architecture knowledge using AWS services, and hands-on experience with fine-tuning, evaluating, and deploying foundation models.,

Keyskills :
PythonNLPAWSDockerGitDesign patternsAIMLLLM APIsFastAPICICDHRTechATS integrationsKnowledge graphsRealtime AI systemsVoice AI tools

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