Senior AI Engineer

Make an Impact by: 

• Build end-to-end workflows using AI, software and automation solutions
• Develop and maintain integration of AI solutions with enterprise systems via APIs, MCP, and related frameworks.
• Work with architects to understand requirements and define solution approaches, while partnering with software engineers for system integration.
• Enhance and maintain user interfaces for usability and continuous improvement.
• Design hybrid solutions combining backend, frontend, LLM, prompting, potentially RPA for human-in- the-loop workflows
• Maintain middleware components including SSO, authentication, and authorization mechanisms.
• Monitor production AI solutions, track KPIs, and proactively resolve performance or reliability issues.
• Implement security best practices, establish fallback/backup strategies, and mitigate potential risks in AI solutions.
• Maintain and enhance existing solution with right and relevant AI capabilities across Enterprise, Consumer, IT, Networks and Corporate Functions domain.
• Support and optimize the marketplace recommender system, ensuring updated offers and business rules are integrated smoothly.
• Monitor, troubleshoot, and improve production pipelines, backend and frontend application and AI services for reliability, performance, and scalability.
• Stay up to date with the latest advancements in AI/agentic AI and conduct applied research to enrich internal capabilities.
• Apply software engineering standards, including modular code design, reproducibility, and rigorous testing.
• Faced new problems which does not exist a tested approach and requires some level of R&D
• Balancing between process and approval management vs project timelines

Skills for Success: 

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data, AI/ML, or related field.
• 3-5 years of proven experience developing and deploying software and AI solutions, with exposure to agentic AI frameworks.
• Proficient in Python, and TypeScript/nodejs, SQL, etc
• Hands-on experience with LangChain, LangGraph, or similar AI frameworks.
• Good knowledge in LLM integration and orchestration.
• Knowledge in prompt engineering.
• Experience with API development and integration (RESTful, gRPC, MCP a plus).
• Knowledge of middleware systems, including SSO and access control (OAuth2, JWT, etc.).
• Familiar with version control (GitHub, GitLab, Bitbucket).
• Exposure to cloud platforms (Azure, AWS, GCP preferred).
• Passion for applied R&D, staying ahead of AI advancements, and bringing innovative ideas into production.
• Strong problem-solving ability, attention to detail, and ability to collaborate effectively across teams.
• Comfortable working in a cross-functional team (Software/AI engineers, data platform, business users).
• Experience in building secure, enterprise-grade integrations.