GenAI Engineer

Candidates typically experience a three‑round interview process: a technical coding round, a system design/AI project discussion, and an HR conversation. The technical round focuses on Python, data structures, and generative AI concepts, while the design round evaluates the ability to architect scalable AI solutions. Interviewers often ask about prompt engineering, LLM fine‑tuning, and real‑world use cases. Preparation with coding practice and AI fundamentals is recommended.

Round 1: Technical interview covering coding and AI concepts → Round 2: System design / AI project discussion → Round 3: HR interview

Workiy promotes a collaborative remote culture where engineers have the autonomy to experiment and innovate. The company values continuous learning, offers flexible work hours, and encourages a healthy work‑life balance. Growth opportunities are abundant, with a focus on skill development and cross‑functional projects.

Bachelor’s degree in Computer Science, Engineering, or a related field with a minimum of 60% or 6.5 CGPA, no backlogs. Candidates with experience in AI/ML, Python programming, and REST API development are preferred. Strong analytical and problem‑solving skills are essential.

Workiy is a forward‑thinking technology startup that specializes in delivering AI‑driven solutions to streamline business processes and enhance customer experiences. With a remote‑first culture, the company empowers its engineers to collaborate across time zones while maintaining a flexible work‑life balance. Workiy’s product portfolio spans intelligent chatbots, automated content generation, and data‑centric decision‑support tools, all built on cutting‑edge generative AI and large language models. The GenAI Engineer role is a contract‑based, remote position focused on designing, developing, and deploying generative AI features that solve real‑world business challenges. The successful candidate will work closely with product managers, data scientists, and backend developers to translate business requirements into scalable AI solutions. The role demands a blend of deep technical expertise in LLMs, prompt engineering, and software engineering, along with a passion for experimentation and continuous improvement. Key Responsibilities: 1. Design and implement generative AI models and pipelines that meet product specifications. 2. Build and expose RESTful APIs to integrate AI services into existing applications. 3. Experiment with different LLMs, prompt strategies, and fine‑tuning techniques to optimize output quality. 4. Collaborate with data teams to curate high‑quality training datasets. 5. Conduct rigorous testing, evaluation, and A/B experiments to validate model performance. 6. Troubleshoot and optimize inference latency and resource utilization. 7. Document model architecture, data flows, and best practices for internal knowledge sharing. 8. Stay updated on the latest research in generative AI and propose innovative use cases. 9. Mentor junior engineers and interns on AI fundamentals and coding standards. 10. Ensure compliance with data privacy and security guidelines. Tech Stack: Python, PyTorch/TensorFlow, Hugging Face Transformers, OpenAI API, Docker, Kubernetes, AWS/GCP/Azure, REST APIs, Git, CI/CD pipelines. Growth Path: Starting as a GenAI Engineer, you can progress to Senior AI Engineer, Lead AI Architect, or Product Manager for AI solutions. The remote environment encourages continuous learning and cross‑functional collaboration, enabling rapid skill acquisition and career advancement. Why Join Workiy: Workiy offers the unique opportunity to shape the future of AI in business, work with a highly skilled, globally distributed team, and enjoy the freedom of a remote contract role. The startup environment fosters innovation, rapid iteration, and a culture that values ownership and impact. If you are eager to push the boundaries of generative AI and build products that matter, Workiy is the place to be.