Wissen Technology is hiring for AI Implementation Engineer
About Wissen Technology:
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—ensuring 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, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record 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 provide clients with 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. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.
Job Summary:
We are hiring an AI Implementation Engineer to build, deploy, and scale enterprise grade Generative AI solutions across business-critical applications. The role involves developing production-ready AI systems using Azure AI services, Large Language Models (LLMs), RAG architecture, and agent-based frameworks while collaborating closely with engineering teams to drive AI adoption and innovation.
- Experience: 6 - 12 Years
- Location: Bangalore/Mumbai
- Mode of Work: Hybrid
- Education Qualification: MCA/B.E/B.Tech/MTech
Key Responsibilities & Duties:
- Python programming (6+ years) including asynchronous programming and backend application development
- Java and Spring Framework (3+ years) for enterprise-scale application integration
- Azure OpenAI Service, Azure AI Foundry, and Azure AI Search for production GenAI applications
- Retrieval Augmented Generation (RAG) architecture including embeddings, chunking, vector databases, reranking, and grounding techniques
- Agent Frameworks such as Microsoft Agent Framework, Semantic Kernel, AutoGen, Lang Chain, or Lang Graph
- Snowflake and Cortex AI (Cortex Search, LLM Functions) with strong SQL expertise
- Prompt Engineering, LLM evaluation frameworks, testing, and model performance optimization
- DevOps and Cloud Deployment using Azure DevOps, GitHub Actions, Docker, AKS, Azure Functions, and observability tools
Good to Have:
- React.js for AI-powered user interfaces and conversational applications
- Azure AI Content Safety and Responsible AI implementation experience
- Financial Services, Banking, or other regulated industry domain experience
- Real-time streaming applications and token-level LLM operations
- Performance optimization, caching strategies, and cost optimization for AI workloads
- Microsoft Azure AI Engineer Associate Certification
Nice to Have:
- Education: BE/BTech/ME/MTech in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or related field
- Leadership: Experience mentoring engineering teams and driving AI adoption across development squads
- Ownership: Proven track record of delivering end-to-end AI solutions from concept to production deployment
- Problem-Solving: Strong analytical thinking with demonstrated ability to resolve complex AI implementation challenges
- Communication: Excellent written and verbal communication skills with the ability to collaborate across technical and business teams
- Quality Focus: Experience implementing evaluation frameworks, guardrails, monitoring, and observability for AI systems
- Collaboration: Ability to work within cross-functional product engineering teams and enable knowledge transfer
Preferred Experience:
- Design, develop, and deploy enterprise-grade Generative AI solutions using Azure OpenAI, Azure AI Foundry, and Azure AI Search
- Build and maintain Retrieval-Augmented Generation (RAG) pipelines, AI agents, APIs, and enterprise application integrations
- Collaborate closely with engineering delivery pods to accelerate AI adoption and provide hands-on technical guidance
- Implement production-grade AI capabilities including evaluation frameworks, observability, guardrails, caching, and CI/CD pipelines
- Integrate AI systems securely with enterprise data platforms while ensuring compliance, access control, and secrets management
- Optimize AI applications for grounding accuracy, latency, scalability, reliability, and operational cost
- Build and maintain agent-based solutions using Semantic Kernel, AutoGen, LangChain, LangGraph, or Microsoft Agent Framework
- Define, monitor, and improve quality metrics, model evaluations, and program-level AI delivery KPIs
Wissen Sites:
- Website: www.wissen.com
- LinkedIn: Wissen Technology | LinkedIn
- Wissen Leadership: Leadership Team | Wissen
- Wissen Live: LinkedInログイン | LinkedIn
- Wissen Thought Leadership: https://www.wissen.com/articles
Skills Required
- 6–12 years of professional experience
- 6+ years of Python programming, including asynchronous programming and backend application development
- 3+ years of Java and Spring Framework experience
- Experience with Azure OpenAI Service, Azure AI Foundry, and Azure AI Search
- Experience designing Retrieval-Augmented Generation pipelines, including embeddings, chunking, vector databases, reranking, and grounding
- Experience with agent frameworks such as Microsoft Agent Framework, Semantic Kernel, AutoGen, LangChain, or LangGraph
- Snowflake, Cortex AI, and strong SQL expertise
- Prompt engineering, LLM evaluation, testing, and model performance optimization experience
- Experience with Azure DevOps, GitHub Actions, Docker, AKS, Azure Functions, and observability tools
- MCA, B.E., B.Tech, or M.Tech degree
- React.js experience for AI-powered user interfaces
- Azure AI Content Safety and Responsible AI experience
- Financial services, banking, or regulated-industry experience
- Real-time streaming and token-level LLM operations experience
- Performance, caching, and cost optimization experience for AI workloads
- Microsoft Azure AI Engineer Associate certification
- Experience mentoring engineering teams and driving AI adoption
- End-to-end AI solution delivery from concept through production
- Strong analytical, communication, collaboration, and problem-solving skills
- Experience implementing evaluation frameworks, guardrails, monitoring, and observability
What We Do
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services. We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!). Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world. Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients
