Senior Gen AI Engineer
New
J
JobgetherArtificial Intelligence
Available from anywhere in IndiaContractSenior
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 professional experience in software engineering, Artificial Intelligence, Machine Learning, or related technical fields.
- Strong hands-on experience developing AI and Generative AI applications.
- Solid understanding of Large Language Models, foundation models, prompt engineering, model APIs, and AI application architecture.
- Demonstrated experience taking AI solutions from experimentation and prototyping through production deployment.
- Strong Forward Deployment Engineering mindset, with the ability to work directly with customers or users and rapidly develop solutions around their requirements.
- Strong programming skills and solid software engineering fundamentals.
- Experience designing scalable, reliable, secure, and maintainable AI-powered systems.
- Experience with LangChain or comparable LLM orchestration frameworks.
- Experience building Agentic AI systems, autonomous workflows, or AI agents.
- Experience developing Retrieval-Augmented Generation (RAG) pipelines.
- Knowledge of vector databases, embeddings, semantic search, and document processing.
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 with customers, users, product teams, and internal stakeholders to understand real-world challenges and deliver tailored AI solutions.
- Translate ambiguous business requirements 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 balancing performance, reliability, security, and cost.
- Evaluate emerging Generative AI technologies, frameworks, and models and assess their suitability for specific business use cases.
- Troubleshoot AI model and application issues while continuously improving quality, latency, scalability, reliability, and accuracy.
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