Wissen Technology is hiring for AI Developer
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 looking for an experienced AI/GenAI Engineer to design, develop, and deploy scalable AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks/workflow development. The ideal candidate should have strong Python development skills, hands-on experience with modern AI orchestration frameworks, and exposure to cloud-native AI deployments.
Key Responsibilities:
- Build and deploy GenAI applications using LLMs such as GPT, Gemini, Llama, Mistral, Claude, etc.
- Design and implement RAG pipelines using vector databases and embeddings.
- Develop AI agents and workflow orchestration using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
- Fine-tune, evaluate, and optimize LLM models for production use cases.
- Integrate AI services into scalable backend systems and APIs.
- Work with structured/unstructured datasets for NLP and AI workflows.
- Deploy AI solutions on cloud platforms such as Azure, AWS, or GCP.
- Build observability, monitoring, guardrails, and evaluation frameworks for GenAI systems.
- Collaborate with product, engineering, and business teams to deliver AI-driven solutions.
- Mentor junior engineers and contribute to AI architecture decisions (for senior roles).
- Experience building production-grade GenAI systems
- Exposure to multi-agent workflows
- Experience with AI observability tools
- Understanding of scalable backend architecture
- Prior work on enterprise AI products or copilots
Good to have Skills
- Experience with multi-agent AI systems and complex workflow orchestration
- Familiarity with fine-tuning techniques (LoRA, PEFT, RLHF) for LLMs
- Exposure to AI observability tools (e.g., LangSmith, Weights & Biases, Arize, PromptLayer)
- Knowledge of LLM evaluation frameworks, benchmarking, and prompt testing
- Experience implementing AI guardrails, safety, and hallucination reduction strategies
- Understanding of data pipelines and ETL processes for AI/ML workloads
Wissen Sites:
LinkedIn: https://www.linkedin.com/company/wissen-technology
Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
Skills Required
- 6–10 years of professional experience
- Experience building production-grade GenAI systems
- Exposure to multi-agent workflows
- Experience with AI observability tools
- Understanding of scalable backend architecture
- Prior work on enterprise AI products or copilots
- Experience with multi-agent AI systems and complex workflow orchestration
- Familiarity with LLM fine-tuning techniques including LoRA, PEFT, and RLHF
- Exposure to AI observability tools such as LangSmith, Weights & Biases, Arize, or PromptLayer
- Knowledge of LLM evaluation frameworks, benchmarking, and prompt testing
- Experience implementing AI guardrails, safety, and hallucination-reduction strategies
- Understanding of data pipelines and ETL processes for AI/ML workloads
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
