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Wissen Technology

AI solution Engineer

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<\/span> <\/span><\/span> <\/span> <\/span><\/span>Wissen Technology is Hiring for<\/b> <\/b><\/span>AI solution Engineer<\/b><\/span><\/span> <\/b><\/span>
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About Wissen Technology: <\/b><\/span><\/span> <\/b><\/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 <\/span>2000+ employees <\/span>across offices in the <\/span>US, UK, UAE, India, <\/span>and <\/span>Australia. Our commitment to excellence translates into delivering <\/span>2X <\/span>impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, <\/span>cutting\-edge <\/span>technology <\/span>expertise, and a relentless focus on quality. We <\/span>don\u2019t <\/span>just meet expectations\u2014we exceed them by ensuring faster time\-to\-market, reduced rework, and greater alignment with client <\/span>objectives. We have a proven <\/span>track record <\/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>provide <\/span>clients with <\/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>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>
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Job Summary:<\/b><\/span><\/span> <\/span><\/span><\/span><\/span>We are seeking a highly skilled<\/span> <\/span><\/span><\/span><\/span>Applied AI Engineer<\/span><\/span><\/span> <\/span><\/span>with 4\u201310 years of software engineering experience and 1\u20133+ years of hands\u2011on applied AI development. This role focuses on building AI\u2011powered solutions including<\/span> <\/span><\/span><\/span><\/span>RAG pipelines, LLM\u2011based agents, automation workflows, and production\-grade AI systems<\/span><\/span><\/span> <\/span><\/span>for a major global<\/span> <\/span><\/span><\/span>bank\u2019s<\/span><\/span> <\/span><\/span>enterprise transformation program.<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span>This is a<\/span> <\/span><\/span><\/span><\/span>hands\-on builder role<\/span><\/span><\/span>\u2014ideal for engineers who have shipped real AI systems, worked with LLM APIs, and built retrieval/agentic workflows using modern AI tooling<\/span><\/span><\/span> <\/span><\/span><\/p><\/div>

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Experience: <\/b><\/span>4\-<\/span> 10 y<\/span><\/span><\/span>ears<\/span><\/span> <\/span>
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Location:<\/b><\/span><\/span> <\/b><\/span><\/span>Bangalore<\/span><\/span> <\/span>
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Mode of Work:<\/b><\/span><\/span> <\/b><\/span>Full time <\/span><\/span> <\/span>
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Key<\/b> <\/b><\/span>Responsibilities:<\/b><\/span><\/span> <\/b><\/span>
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  • Design, build, and deploy <\/span>RAG (Retrieval\u2011Augmented Generation) pipelines <\/span>using modern retrieval frameworks and vector databases.<\/span><\/span> <\/span>
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  • Build <\/span>LLM\u2011powered applications <\/span>using APIs such as Claude / Anthropic or equivalent LLM stacks.<\/span><\/span> <\/span>
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  • Develop AI workflows using <\/span><\/span>LangChain<\/span> <\/span>or similar orchestration frameworks <\/span>for chaining, tool use, and multi\-step reasoning.<\/span><\/span> <\/span>
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  • Build AI agents and workflow automation systems capable of <\/span>autonomous, multi\u2011step task execution.<\/span><\/span> <\/span>
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  • Implement <\/span>vector storage, embedding pipelines, indexing strategies, and retrieval architectures.<\/span><\/span> <\/span>
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  • Work with business stakeholders to translate ambiguous requirements into actionable AI engineering solutions.<\/span><\/span> <\/span>
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  • Implement governance components\u2014logging, monitoring, cost controls, and safe\u2011execution patterns.<\/span><\/span> <\/span>
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  • Collaborate with cross\u2011functional teams (engineering, product, data, and business teams).<\/span><\/span> <\/span>
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  • Contribute to architecture discussions, design reviews, and technical decision\u2011making.<\/span><\/span> <\/span>
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  • Ship production\-ready AI systems with strong testing, observability, and reliability.<\/span><\/span> <\/span>
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    Requirements:<\/b><\/span><\/span> <\/b><\/span>
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    • Hands\-on RAG development <\/span>including retrieval systems, chunking, indexing, evaluation, and pipeline orchestration.<\/span><\/span> <\/span>
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    • Experience with <\/span><\/span>NotebookLM<\/span>, RAG tooling, <\/span><\/span>notebooklm\u2011py<\/span>, or similar retrieval libraries.<\/span><\/span> <\/span>
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    • Strong experience with <\/span>Claude / Anthropic APIs, Claude Code, or equivalent LLM provider APIs.<\/span><\/span> <\/span>
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    • Proficiency <\/span>with <\/span>vector databases: Pinecone, Chroma, <\/span><\/span>Weaviate<\/span>, or similar.<\/span><\/span> <\/span>
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    • Strong understanding of <\/span>embedding\-based retrieval, indexing strategies, and vector search.<\/span><\/span> <\/span>
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    • Practical experience with <\/span><\/span>LangChain<\/span> <\/span>or other AI orchestration frameworks.<\/span><\/span> <\/span>
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    • Experience building <\/span>AI agents/workflows <\/span>beyond simple chatbots.<\/span><\/span> <\/span>
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    • Strong Python development skills\u2014Python\u2011first tooling.<\/span><\/span> <\/span>
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    • Demonstrated experience shipping <\/span>production\-grade AI systems.<\/span><\/span> <\/span>
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    • Ability to work directly with non\u2011technical stakeholders and explain technical concepts clearly.<\/span><\/span> <\/span>
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    • 4\u201310 years in software engineering with 1\u20133+ years focused on applied AI.<\/span><\/span> <\/span>
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      Good To Have Skills: <\/b><\/span><\/span> <\/b><\/span>
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      • Awareness of <\/span>LLM governance, monitoring, cost control, and responsible AI practices.<\/span><\/span> <\/span>
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      • Strong <\/span>GitHub portfolio <\/span>with published AI projects (highly valued by the client; can offset lack of advanced degrees).<\/span><\/span> <\/span>
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      • Experience with <\/span>financial services <\/span>is a plus, but not mandatory.<\/span><\/span> <\/span>
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      • Knowledge of real\-world <\/span>AI evaluation, benchmarking, and observability.<\/span><\/span> <\/span>
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      • Understanding of retrieval metrics, vector optimization, and agent evaluation frameworks.<\/span><\/span> <\/span>
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      • Exposure to multi\u2011tenant AI systems, enterprise\-grade AI workflows, or secure AI deployments.<\/span><\/span> <\/span>
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        Wissen Sites:<\/b><\/span><\/span> <\/b><\/span>
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        Website: <\/span><\/span><\/span>www.wissen.com<\/span><\/span><\/a> <\/span><\/span> <\/span>
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        LinkedIn: <\/span><\/span><\/span>https://www.linkedin.com/company/wissen\-technology<\/span><\/span><\/a> <\/span><\/span> <\/span>
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        Wissen Leadership: <\/span><\/span><\/span>https://www.wissen.com/company/leadership\-team/<\/span><\/span><\/a> <\/span><\/span> <\/span>
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        Wissen Live: <\/span><\/span><\/span><\/a><\/p><\/div><\/span>