Remote AI / GenAI Solutions Engineer

Description:

• Soum is on a mission to revolutionize customer service experiences across its C2C marketplace through cutting-edge AI solutions.
• The company is looking for a talented AI / GenAI Solutions Engineer to architect, build, and deploy intelligent systems that transform user engagement.
• The role involves leveraging tools like Gemini Advanced, Claude Enterprise, and ChatGPT to design scalable, reliable, and context-aware AI agents integrated into Soum’s ecosystem.
• The position offers an opportunity to make a tangible impact on customer interactions while working in a collaborative, fast-paced environment.
• Responsibilities include building GenAI-powered solutions, driving AI innovation, ensuring scalability and reliability, partnering cross-functionally, evangelizing AI adoption, and bridging technical gaps.

Requirements:

• A Bachelor’s degree, preferably in Computer Science, Engineering, or a related technical field is required.
• Candidates must have experience designing, building, and deploying AI/ML systems at scale in conversational AI contexts.
• Deep hands-on experience using and implementing GenAI tools (e.g., Gemini, ChatGPT, Claude Enterprise) to solve real-world business problems is essential.
• A strong understanding of SaaS ecosystems and API integrations (including Google Workspace, Airtable, Freshdesk) is necessary.
• Expertise in NLP/NLU, conversational AI frameworks, and large language models is required.
• Proficiency in Python and JavaScript for scripting, automation, and lightweight prototyping is needed.
• Practical experience integrating AI solutions into production systems via APIs, microservices, and event-driven architectures is important.
• Experience working on a C2C platform and a solid understanding of marketplace dynamics, customer support challenges, and user engagement in a C2C environment is preferred.
• Candidates should have experience implementing conversational flows, dialogue management, and context tracking in AI agents.
• Familiarity with retrieval-augmented generation (RAG) architectures for enhancing LLM capabilities is a plus.
• An understanding of data privacy, security, and ethical considerations in AI deployments is required.
• The ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively is essential.

Benefits:

• The position offers the chance to work at the forefront of GenAI innovation and make a significant impact on customer service experiences.
• Employees will have the opportunity to collaborate with cross-functional teams, enhancing their professional growth and knowledge.
• The role promotes a culture of continuous improvement and innovation through knowledge-sharing sessions and best practices.
• Working in a fast-paced environment allows for the development of skills in managing multiple priorities and adapting to dynamic challenges.