AI/ML Engineer

Wissen Technology is hiring for AI/ML 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 looking for an

AI ML Engineer

with strong experience in building

Generative AI applications and Agentic AI solutions

. The ideal candidate should be hands-on with modern AI technologies and capable of designing, developing, and deploying intelligent, scalable AI-driven applications.

• Experience: 2 - 5 Years

• Location: Bangalore

• Mode of Work: Hybrid

• Education Qualification: MCA/B.E/B.Tech/MTech

• Key Responsibilities & Duties:

• Design and develop

Generative AI applications

using LLMs and modern AI frameworks.

• Build

Agentic AI solutions

involving autonomous agents, multi-agent workflows, tool calling, reasoning, and task orchestration.

• Develop and integrate AI capabilities into enterprise applications and business workflows.
• Work with data, APIs, knowledge sources, and enterprise systems to build intelligent AI solutions.
• Design scalable and production-ready AI architectures with focus on performance, reliability, and security.
• Collaborate with product, engineering, and business teams to translate use cases into AI solutions.
• Evaluate AI models and continuously improve accuracy, relevance, and performance.

• Skills Preferred:

• Strong hands-on experience in

Generative AI applications

.

• Proven experience building

Agentic AI / Agentic Solutions

.

• Good understanding of

LLMs, prompt engineering, AI application architecture, and AI integrations

.

• Experience developing and deploying production-grade AI solutions.

• Good to Have:

• Natural Language Processing (NLP)
• Machine Learning
• Ontology and Knowledge Representation
• Knowledge Graphs
• Experience with RAG, vector databases, embedding, and AI-powered search.

• Nice to Have:

• Computer Vision
• IoT / Connected Systems
• Forecasting / Predictive Analytics

• Preferred Experience:

• Experience with Python and AI/ML frameworks.
• Exposure to LLM platforms, AI APIs, cloud AI services, or open-source AI models.
• Understanding APIs, microservices, databases, and cloud platforms.
• Strong problem-solving and analytical skills with the ability to work on complex AI use cases.

• Wissen Sites:

• Website:
• LinkedIn: Wissen Technology | LinkedIn
• Wissen Leadership: Leadership Team | Wissen
• Wissen Live: LinkedInログイン | LinkedIn
• Wissen Thought Leadership:

• 2-5 years of experience
• MCA/B.E/B.Tech/MTech qualification
• Strong hands-on experience building Generative AI applications
• Proven experience building Agentic AI / Agentic Solutions
• Good understanding of LLMs, prompt engineering, AI application architecture, and AI integrations
• Experience developing and deploying production-grade AI solutions
• Natural Language Processing (NLP)
• Machine Learning
• Ontology and Knowledge Representation
• Knowledge Graphs
• Experience with RAG, vector databases, embedding, and AI-powered search
• Computer Vision
• IoT / Connected Systems
• Forecasting / Predictive Analytics
• Experience with Python and AI/ML frameworks
• Exposure to LLM platforms, AI APIs, cloud AI services, or open-source AI models
• Understanding APIs, microservices, databases, and cloud platforms
• Strong problem-solving and analytical skills with ability to work on complex AI use cases