• Design, develop, and deploy autonomous AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel. • Architect LLM-powered workflows involving multi-agent collaboration, decision logic, memory management, and external tool integration. • Collaborate with consulting teams to align AI agent solutions with business goals and industry use cases across sectors (FSI, Retail, Manufacturing, etc.). • Participate in RFI/RFP responses, creating high-impact solution overviews, architectural diagrams, and effort/cost estimations. • Work closely with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, MVP scopes, and transformation roadmaps. • Engage in client workshops, demos, and innovation showcases to articulate the potential of Agentic AI and its enterprise applications. • Contribute to the development of reusable agent templates, accelerators, and reference architectures within Infosys’ AI frameworks. • Stay current with GenAI advancements, toolchains, and research (LLMs, embeddings, vector DBs, agent planning/reasoning). • Provide technical mentorship and hands-on support to junior consultants, helping shape internal capability development. • Collaborate with cross-functional teams on AI governance, responsible AI practices, and integration into enterprise environments.

• Design and implement AI agents using LangChain, CrewAI, or AutoGen for enterprise-grade use cases. • Develop modular code for task decomposition, memory handling, and tool integration with APIs. • Collaborate with AI strategists and architects on project design and MVP delivery. • Conduct testing and fine-tuning of agent behavior using LLM APIs and embeddings. • Participate in internal code reviews, documentation, and reusable framework building. • Support pre-sales demos and client innovation sessions with hands-on prototypes.

• Design, build, and deploy **production-grade GenAI solutions** (AI agents, copilots, RAG pipelines) with a focus on scalability, reliability, and performance • Own **end-to-end architecture** of AI systems on Azure, including integration with enterprise data platforms and backend services • Lead the development of **LLM-powered applications** using Azure-native services and modern orchestration frameworks • Implement **LLMOps practices**, including monitoring, logging, evaluation, prompt/version management, and cost optimization • Translate business requirements into **technical AI solutions** and define scalable implementation strategies • Ensure **security, governance, and compliance** across all AI solutions • Optimize AI systems for **latency, cost, and accuracy** in production environments • Provide **technical leadership**, mentor engineers, and drive best practices in system design and code quality

Role Description The Telesales Team is engaged in customer acquisition via phone sales. The team supports a number of call centers by providing a web-based working environment and telephony capabilities to hundreds of sales agents. Telesales is responsible for web tools for client acquisition, customer call strategies, agent performance evaluation, and more. As an AI Engineer in Telesales, you will primarily focus on developing LLM-based solutions for end-to-end sales automation and communication quality evaluation. - Develop our in-house AI sales bot solution for end-to-end sales automation. - Integrate with external vendors to evaluate and test third-party AI products and capabilities. - Build our in-house call analysis solution to identify critical agent mistakes and detect negative customer reactions. - Work closely with the team to launch robust AI solutions into production. - Take part in shaping new AI use cases in Telesales as the product evolves. Qualifications - Hands-on experience building LLM-based products or features for real business use cases. - Strong practical skills in prompt engineering, model integration, and designing reliable AI workflows. - Experience developing and launching AI solutions such as assistants, bots, or text analysis systems. - Good knowledge of Python and confidence working with modern AI tooling. - Strong engineering judgment and a pragmatic approach to solving product problems. - Ability to work independently and take ownership of AI solutions from idea to production. - Excellent communication skills and ability to collaborate with product and engineering teams. - B1 or higher English level for effective communication with an international team. Requirements - Previous experience delivering business-critical AI-powered applications. - Experience working on telesales, call center, or customer communication products. - Experience evaluating third-party AI solutions and comparing them against in-house approaches. - Experience with voice AI, speech analytics, or call quality evaluation solutions. Benefits - Relocation support to one of our hubs — Cyprus, Serbia, Georgia or Kazakhstan — with assistance for the employee and their family. - Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5. - Healthcare coverage. - Education Budget: Language lessons, professional training and certifications. - Wellness Budget: Mental health and fitness activity reimbursements. - Vacation policy: 20 days of annual leave and paid sick leave.