The Position  

The division is looking for a skilled Senior AI Engineer to join our product-focused software team. The ideal candidate will work closely with Product and Engineering teams to design, develop, and integrate AI-driven features into our products. This includes building AI-enhanced modules, optimizing LLM workflows, improving development processes with AI, and creating intelligent automation for various internal and external use cases. 

Division: https://csiperseus.com/resources/portfolio/dis/

Essential Duties and Responsibilities 

• Design, develop, and deploy AI solutions using LLMs, autonomous agents, multi-agent workflows, and tool-enabled AI systems. 

• Build AI agents capable of reasoning, planning, executing tasks, validating results, and iterating autonomously. 

• Integrate AI agents with enterprise systems, APIs, databases, source-control platforms, ticketing systems, and other business applications.  

• Design and implement tool calling, MCP servers, connectors, skills, and reusable agent capabilities. 

• Implement prompt engineering, retrieval-augmented generation (RAG) and embeddings. 

• Research and apply ML techniques to solve real product challenges. 

• Work closely with Product and Engineering teams to integrate AI components into web, mobile, and backend systems.  

• Improve product workflows using intelligent automation and predictive models. 

• Collaborate with Product Managers to discover areas where AI can create business value. 

• Conduct R&D on emerging AI technologies, staying up to date with new LLMs and tools. 

• Participate in agile planning and stand-up meetings as necessary.  

• Perform other duties as may be assigned by management. 

The chosen individual will work out of the Contour Software Lahore resource center office, as an extension of the division-based R&D department. 

Migration of signatures 

Minimum:  

Required Education and Experience: 

• Bachelor's Degree in Computer Science, Computer Engineering or equivalent technical Degree; or equivalent combination of education and experience.  

• 4+ years of professional experience in AI/ML engineering or applied AI development. 

• Hands-on experience with LLMs, prompt engineering and embeddings. 

• Experience with cloud platforms (AWS, Azure etc.) 

• Strong programming skills 

Required Knowledge, Skills and Abilities:  

• Ability to design software using industry standard technologies.  

• Strong problem-solving skills and the ability to debug and troubleshoot issues in applications efficiently. 

• Proven experience in leading and mentoring a development team. 

• Ownership mentality with a focus on delivering business value. 

• Strong understanding of core Java concepts, OOP, data structures, and algorithms. 

• Good understanding of unit tests, performing code reviews, and ensuring the quality and reliability of code. 

• Have the ability to perform comfortably in a fast-paced, deadline-oriented work environment. 

• Must be adaptable and willing to continuously learn and stay updated with emerging technologies and industry trends. 

• Good in working across cross-functional teams, ensuring alignment with stakeholders, and conveying technical concepts to non-technical audiences.  

• Can effectively leverage cloud technologies to build scalable, reliable, and secure applications that meet the demands of modern cloud-based environments. 

• Experience in cloud platforms like AWS, Azure, or Google Cloud, including knowledge of cloud-native architectures and services 

• Familiarity with building and deploying microservices-based applications. 

• Knowledge of Software Development Life Cycle (SDLC)  

• Knowledge of Agile development methodologies (including Scrum and Kanban)  

• Excellent written and verbal communication skill 

Good to Have: 

• Hands-on experience with WebRTC for real-time audio/video communication in web applications.  

• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn etc.) 

• Familiarity with SIP-based communication and JavaScript SIP libraries such as SIP.js or JsSIP.  

• Understanding of browser-based WebRTC APIs, including media streams, peer connections, and real-time communication concepts.  

• Experience integrating web applications with VoIP/SIP infrastructure would be a plus.