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Wissen Technology is hiring for AI Developer. 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 Responsibility:
Build and deploy GenAI applications using LLMs such as GPT, Gemini, Llama, Mistral, Claude, etc.
Design and implement RAG pipelines using vector databases and embedding
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)
Requirements:
4–10 years of experience in AI/ML development or software engineering
Strong proficiency in Python for AI/ML development
Hands-on experience with LLMs and GenAI frameworks
Expertise in building RAG pipelines, embeddings, and vector search systems
Experience with LangChain, LlamaIndex, LangGraph, or similar orchestration frameworks
Knowledge of AI agents and workflow automation architectures
Experience integrating AI into APIs and microservices-based systems
Familiarity with cloud platforms (AWS, Azure, GCP)
Strong understanding of AI evaluation methods, model optimization, and guardrails
Solid problem-solving, analytical thinking, and communication skills
Nice to have:
Experience building production-grade GenAI systems at scale
Exposure to multi-agent workflows and autonomous AI systems
Familiarity with AI observability tools and monitoring frameworks
Understanding of scalable backend architecture and distributed systems
Experience working on enterprise AI products, copilots, or knowledge assistants
Exposure to fine-tuning, RLHF, or advanced model customization techniques