Sr. Gen AI Engineer

New

JobgetherGenerative AI

Remote working opportunity within India.ContractSenior

Salary1,000,000 - 6,500,000 INR per year

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Job Details

Experience: 5–13 years of professional experience in software engineering, Artificial Intelligence, Machine Learning, or related technical fields.
Required Skills: Prompt EngineeringGenerative AILangChain

Have 5–13 years of professional experience in software engineering, Artificial Intelligence, Machine Learning, or related technical fields.
Have strong hands-on experience developing AI and Generative AI applications.
Understand Large Language Models, foundation models, prompt engineering, model APIs, and AI application architecture.
Have taken AI solutions from experimentation and prototyping through production deployment.
Bring a forward deployment engineering mindset and the ability to work directly with users or customers to develop solutions around their requirements.
Have strong programming fundamentals and software engineering expertise.
Have experience designing scalable, reliable, secure, and maintainable AI-powered systems.
Be able to investigate technical problems independently, navigate ambiguity, and deliver solutions in changing environments.
Have experience with LangChain or a comparable LLM orchestration framework (advantageous).
Have hands-on experience building Agentic AI systems, autonomous workflows, or AI agents (a plus).
Have experience with RAG, vector databases, embeddings, semantic search, and document-processing pipelines (desirable).
Have experience with cloud platforms and modern deployment practices such as Docker, Kubernetes, and CI/CD (preferred).

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.
Partner with customers, product teams, and internal stakeholders to understand challenges and deliver tailored AI solutions.
Translate ambiguous business requirements into practical AI architectures, prototypes, and production-ready 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 Generative AI technologies, frameworks, and models for specific business use cases.
Troubleshoot model and application issues and improve quality, latency, scalability, and accuracy.
Develop reusable components, APIs, tools, and frameworks that accelerate AI application deployment and adoption.
Establish evaluation, monitoring, testing, and observability practices for AI and LLM-based systems.

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