Senior Gen AI Engineer
New
W
WeekdayTechnology, Information, Media
Remote (India)ContractSenior
Salary1,000,000 - 6,500,000 INR per year
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Job Details
- Experience
- 5–13 years
- Required Skills
- Machine LearningSoftware EngineeringPrompt EngineeringGenerative AILangChain
Requirements
- 5–13 years of experience in software engineering, Artificial Intelligence, Machine Learning, or related technical domains.
- Strong hands-on experience in AI and Generative AI application development.
- Solid understanding of Large Language Models (LLMs), foundation models, prompt engineering, model APIs, and AI application architecture.
- Proven experience taking AI solutions from prototype to production.
- Strong Forward Deployment Engineering mindset with the ability to work directly with users or customers and rapidly build solutions around their requirements.
- Strong programming and software engineering fundamentals.
- Experience designing scalable, reliable, and maintainable AI-powered systems.
- Ability to independently investigate technical problems and deliver solutions in ambiguous and rapidly changing environments.
- Strong communication and collaboration skills, particularly when working across technical and non-technical teams.
Responsibilities
- Design, develop, and implement scalable AI and Generative AI solutions aligned with business and product requirements.
- Build and productionize LLM-powered applications, intelligent automation systems, and AI-driven workflows.
- Work as a Forward Deployment Engineer, partnering directly with customers, product teams, and internal stakeholders to understand real-world challenges and deliver tailored AI solutions.
- Translate ambiguous business problems into practical AI architectures, prototypes, and production implementations.
- Develop, test, deploy, and optimize AI models and applications across cloud and enterprise environments.
- Integrate foundation models and LLM APIs into scalable applications while considering performance, reliability, security, and cost.
- Evaluate emerging Gen AI technologies, frameworks, and models and determine their applicability to business use cases.
- Troubleshoot model and application issues and continuously improve system quality, latency, scalability, and accuracy.
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