Senior AI Engineer (AI Agents / OpenAI)

Responsibilities

• Design and implement AI-powered features: integrate LLM and build AI agents.
• Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete.
• Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents.
• Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases.
• Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments.
• Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI.
• Participate in technical design reviews, shaping architectural decisions and engineering standards.
• Who are you
• You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors.
• You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built.
• You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically).
• You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems.
• You have a strong understanding of distributed systems design patterns.
• You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively.
• You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications.
• You are fluent in at least one non-JS programming language (Java is a strong advantage).
• You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives.
• You thrive in environments where AI isn't a side feature but a core building block.
• You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed.
• You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments.
• What you bring
• 6+ years of professional backend engineering experience, 3+ years

Additional Information

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence . We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox , a premier AI and product development company, Solvd now offers true end-to-end delivery -from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients. About the project Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents. Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels. We are developing a customer support research and resolution platform . The platform will include: data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows. agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers) The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.

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