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Job Description & How to Apply Below
Agentic AI Engineer
Location:
Remote
Job Type: Fulltime with Bay One Solutions
Work Hours:
02:00 PM IST – 11:00 PM IST
Full Time Role with Bay One Solutions
About the Role We are hiring an Agentic AI Engineer to build and ship production AI systems as part of Bay One's AI Strategy and Innovation Office. The role sits within a collaborative, distributed engineering team and contributes to both internal projects and solutions developed for the practice's client portfolio. Our portfolio extends across many industries and business areas, and the work shifts across technical areas from one engagement to the next.
The role requires adaptability, breadth of thinking, and the discipline to bring rigorous engineering to every deliverable.
The Agentic AI Engineer is personally accountable for the quality and reliability of every deliverable produced, on both internal and client engagements. The work spans agent-based systems, web applications, data engineering, and infrastructure, with agentic pair programming as the primary working mode. Engineering discipline, sound technical judgment, and adherence to the team's quality standards are expected on every piece of work.
The ideal candidate is currently working with agentic AI systems in a hands-on capacity and has a track record of shipping production systems. Professional experience extends beyond generative AI alone, with a broader engineering foundation that demonstrates range across problem types. The role calls for an engineer who delivers consistently, owns what they ship, and brings the same rigor to unfamiliar problems as to familiar ones.
Key Responsibilities
Agentic AI Development (45%) Build AI systems for internal and client engagements, from initial POC through production delivery. Design and implement agent-based solutions for complex, multi-step problems across the practice's diverse engagement portfolio. Build POCs and demos that demonstrate technical feasibility and value to stakeholders. Evaluate and select the right approach for each problem, including knowing when an agent-based approach is appropriate and when a simpler method fits.
Participate in system design within the team, contributing architectural thinking and implementation expertise. Own the full lifecycle of systems built: design, implementation, evaluation, and reliability.
Engineering and Development (25%) Build and maintain web applications, APIs, and backend services for internal and client engagements. Design and work with database schemas, write and optimize queries, and manage data across relational and vector database systems. Build data pipelines and integrations across the practice's data platforms. Contribute to infrastructure work, including containerized deployments and cloud configuration. Move between technical areas with engineering discipline, applying the same rigor regardless of the specific technology or context.
Deliver work that meets the team's standards across both internal initiatives and solutions developed for the practice's client portfolio.
Quality and Delivery Excellence (20%) Write and maintain tests (unit, integration, end-to-end) as part of every deliverable. Participate in code reviews with substantive technical feedback, both giving and receiving. Maintain documentation for systems built, including architecture decisions, setup instructions, and integration points. Apply evaluation discipline to agent systems, including structured evaluation harnesses and observability for deployed systems. Meet delivery commitments on time and communicate accurately on progress and blockers.
Uphold the team's code quality standards, testing practices, and documentation requirements across all work.
Growth and Collaboration (10%) Stay current with developments in the agentic AI landscape, language-model orchestration, and the broader AI engineering field. Learn new tools, frameworks, and patterns as the practice adopts them, working from reference implementations and team guidance. Actively expand technical skills and depth across the practice's engineering domains, pursuing breadth as the engagement portfolio evolves. Contribute to team knowledge by…
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