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Wissen Technology

Python AI Developer

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Wissen Technology is hiring for<\/b> <\/b><\/span><\/span><\/span><\/span><\/span>Python AI Developer <\/b> <\/b><\/span><\/span> <\/span><\/span>
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About Wissen Technology: <\/b><\/span><\/span><\/span><\/span> <\/b><\/span><\/span><\/span>
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At Wissen Technology, we deliver niche, custom\-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset\u2014ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, <\/span><\/span>cutting\-edge<\/span> <\/span>technology <\/span><\/span>expertise<\/span>, and a relentless focus on quality. We <\/span><\/span>don\u2019t<\/span> <\/span>just meet expectations\u2014we exceed them by ensuring faster time\-to\-market, reduced rework, and greater alignment with client <\/span><\/span>objectives<\/span>. We have a proven <\/span><\/span>track record<\/span> <\/span>of building mission\-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome\-based projects ensure predictable costs and timelines, while our agile pods <\/span><\/span>provide<\/span> <\/span><\/span>clients with<\/span> <\/span>the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top\-tier talent<\/span>. <\/span><\/span>Our mission is clear: to be the partner of choice for building world\-class custom products that deliver exceptional impact\u2014the first time, every time.<\/span><\/span><\/span><\/span> <\/span><\/span><\/span>
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Job Summary:<\/b><\/span> <\/span><\/span><\/span><\/span>We are seeking a skilled <\/span><\/span>Python AI Developer<\/span> <\/span>to design and build scalable, cloud\-native AI solutions with a focus on <\/span><\/span>Generative AI and agent\-based architectures<\/span>.<\/span><\/span><\/span> <\/span><\/span>
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The ideal candidate will have strong <\/span><\/span>expertise<\/span> <\/span>in <\/span><\/span>Python development<\/span>, hands\-on experience with <\/span><\/span>LLMs, embeddings, and AI orchestration frameworks<\/span>, and a solid understanding of <\/span><\/span>containerized deployments and modern DevOps practices<\/span>.<\/span><\/span><\/span> <\/span><\/span>
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This role involves building reusable AI platforms, enabling self\-service capabilities, and delivering robust, enterprise\-scale AI systems.<\/span><\/span><\/span> <\/span><\/span>
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Experience:<\/b><\/span><\/span><\/span> <\/b><\/span><\/span>4<\/span>\-<\/span> <\/span><\/span>6<\/span> <\/span>Years<\/span><\/span><\/span> <\/span><\/span>
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Location:<\/b><\/span><\/span><\/span> <\/b><\/span><\/span>Bangalore<\/span><\/span><\/span> <\/span><\/span>
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Mode of Work:<\/b> <\/b><\/span><\/span><\/span>Hybrid<\/span> <\/span><\/span>
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Key Responsibilities:<\/b><\/span><\/span><\/span><\/span> <\/b><\/span><\/span><\/span>
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  • Develop and <\/span>maintain <\/span>tools and self\-service capabilities <\/span>for deploying AI applications<\/span><\/span><\/span> <\/span><\/span>
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  • Build <\/span>scalable and reusable components <\/span>to accelerate GenAI adoption across teams<\/span><\/span><\/span> <\/span><\/span>
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  • Design and deploy <\/span>containerized applications <\/span>using Kubernetes/OpenShift<\/span><\/span><\/span> <\/span><\/span>
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  • Implement deployment strategies using <\/span>GitOps, Helm, and CI/CD pipelines<\/span><\/span><\/span> <\/span><\/span>
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  • Integrate AI services with <\/span>vector databases and embedding pipelines<\/span><\/span><\/span> <\/span><\/span>
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  • Design and implement <\/span>Generative AI solutions, including LLM\-based and agent\-driven applications<\/span><\/span><\/span> <\/span><\/span>
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  • Work with <\/span>AI orchestration frameworks <\/span>(LangChain, LangGraph, etc.) for workflow automation<\/span><\/span><\/span> <\/span><\/span>
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  • Collaborate with cross\-functional teams to define <\/span>best practices for AI development and deployment<\/span><\/span><\/span> <\/span><\/span>
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  • Ensure <\/span>scalability, reliability, monitoring, and observability <\/span>of AI platforms<\/span><\/span><\/span> <\/span><\/span>
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  • Contribute to architectural decisions around <\/span>security, performance, and system design<\/span><\/span><\/span> <\/span><\/span>
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  • Support <\/span>release strategies <\/span>such as Blue/Green deployments<\/span><\/span><\/span> <\/span><\/span>
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  • Participate actively in <\/span>Agile/Scrum processes<\/span><\/span><\/span> <\/span><\/span>
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    Required Skills and Qualification<\/b><\/span><\/span> <\/b><\/span><\/span><\/span>
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    • 4\u20136 years of experience in <\/span><\/span>software development<\/span>, with strong Python <\/span><\/span>expertise<\/span><\/span><\/span> <\/span><\/span>
      <\/span><\/span><\/span><\/li>
    • Hands\-on experience in building <\/span>AI/GenAI or LLM\-driven applications<\/span> <\/span><\/span>
      <\/span><\/span><\/span><\/li>
    • Strong understanding of <\/span>microservices architecture and REST API development<\/span> <\/span><\/span>
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    • Experience with <\/span>Kubernetes/OpenShift and containerized environments<\/span> <\/span><\/span>
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    • Expertise <\/span>in <\/span>asynchronous programming, multiprocessing, and performance optimization<\/span> <\/span><\/span>
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    • Knowledge of <\/span>data engineering concepts <\/span>(SQL, NoSQL, Kafka, Redis)<\/span> <\/span><\/span>
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    • Experience with <\/span>CI/CD (Jenkins) and <\/span><\/span>GitOps<\/span> <\/span>practices<\/span> <\/span><\/span>
      <\/span><\/span><\/span><\/li>
    • Understanding of <\/span>OAuth 2.0 and secure application design<\/span> <\/span><\/span>
      <\/span><\/span><\/span><\/li>
    • Familiarity with <\/span>observability tools <\/span>(Prometheus, Grafana, <\/span><\/span>OpenTelemetry<\/span>, Loki)<\/span> <\/span><\/span>
      <\/span><\/span><\/span><\/li>
    • Experience deploying applications using <\/span>cloud\-native patterns <\/span>(e.g., Blue/Green deployments)<\/span> <\/span><\/span>
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    • Working knowledge of <\/span>ML/DL frameworks <\/span>(TensorFlow or <\/span><\/span>PyTorch<\/span>)<\/span> <\/span><\/span>
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    • Strong understanding of <\/span>secure coding, data privacy, and governance<\/span> <\/span><\/span>
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    • Experience with <\/span>unit testing, performance testing, and BDD methodologies<\/span> <\/span><\/span>
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    • Excellent communication and stakeholder management skills<\/span> <\/span><\/span>
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    • Hands\-on experience with Generative AI, LLMs, embeddings, and fine\-tuning<\/span> <\/span><\/span>
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    • Experience with <\/span>AI agent frameworks <\/span>(LangChain, <\/span><\/span>LangGraph<\/span>, etc.)<\/span> <\/span><\/span>
      <\/span><\/span><\/span><\/li>
    • Understanding of <\/span>Agentic AI, multi\-agent workflows, and orchestration techniques<\/span> <\/span><\/span>
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    • Familiarity with <\/span>MLOps <\/span>/ <\/span><\/span>LLMOps<\/span> <\/span>/ <\/span><\/span>ModelOps<\/span> <\/span>practices<\/span> <\/span><\/span>
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      Good to have Skills<\/b><\/span><\/span> <\/b><\/span><\/span><\/span><\/span><\/span>
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      • Experience with <\/span>vector databases <\/span>(Pinecone, FAISS, <\/span><\/span>Weaviate<\/span>)<\/span> <\/span><\/span>
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      • Exposure to <\/span>multi\-agent systems and workflow automation frameworks<\/span> <\/span><\/span>
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      • Familiarity with <\/span>frontend tools <\/span>(<\/span>Streamlit<\/span>, <\/span><\/span>Gradio<\/span>) for AI applications<\/span> <\/span><\/span>
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      • Knowledge of <\/span>SRE practices and production support models<\/span> <\/span><\/span>
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      • Experience building <\/span>enterprise AI applications <\/span>such as copilots or chatbots<\/span> <\/span><\/span>
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      • Understanding of <\/span>security, compliance, and governance in AI systems<\/span> <\/span><\/span>
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      • Exposure to <\/span>Helm, <\/span><\/span>Kustomize<\/span>, and container registry tools (<\/span>JFrog<\/span> <\/span>Artifactory)<\/span> <\/span><\/span>
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      • Experience working in <\/span>large\-scale distributed systems and global teams<\/span> <\/span><\/span>
        <\/span><\/span><\/span><\/li><\/ul>

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        Wissen Sites:<\/b><\/span><\/span> <\/b><\/span><\/span><\/span><\/span><\/span>
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        Website: <\/span><\/span><\/span><\/span>www.wissen.com<\/span><\/u><\/span><\/span><\/span><\/a> <\/span><\/span><\/span> <\/span><\/span>
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        LinkedIn: <\/span><\/span><\/span><\/span>https://www.linkedin.com/company/wissen\-technology<\/span><\/u><\/span><\/span><\/span><\/a> <\/span><\/span><\/span> <\/span><\/span>
        <\/span><\/span><\/span><\/span>Wissen Leadership: <\/span><\/span><\/span><\/span>https://www.wissen.com/company/leadership\-team/<\/span><\/u><\/span><\/span><\/span><\/a> <\/span><\/span><\/span> <\/span><\/span>
        <\/span><\/span><\/span><\/span>Wissen Live: <\/span><\/span><\/span><\/span><\/a><\/span><\/span><\/span><\/span><\/span><\/div><\/span>