Senior Gen AI Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Design, develop, and implement scalable AI and Generative AI solutions that align with business and product needs.

• Build and productionize applications powered by LLM, along with intelligent automation systems and AI-driven workflows.

• Collaborate directly with customers, product teams, and internal stakeholders as a Forward Deployment Engineer to comprehend real-world challenges and provide customized AI solutions.

• Convert ambiguous business issues into tangible AI architectures, prototypes, and production implementations.

• Develop, test, deploy, and optimize AI models and applications across both cloud and enterprise environments.

• Integrate foundation models and LLM APIs into scalable applications while taking into account performance, reliability, security, and cost considerations.

• Assess emerging Generative AI technologies, frameworks, and models for applicable business use cases.

• Troubleshoot issues related to models and applications, enhancing system quality, latency, scalability, and accuracy.

• Work in collaboration with software engineers, data scientists, product managers, and other stakeholders to deliver comprehensive AI solutions.

• Create reusable components, APIs, tools, and frameworks that expedite the deployment of AI applications.

• Establish evaluation, monitoring, and testing strategies for AI and LLM-based systems.

• Keep abreast of developments in Generative AI, LLMs, AI agents, model orchestration, and enterprise AI deployment.

⛳️ Requirements

• 5–13 years of experience in software engineering, Artificial Intelligence, Machine Learning, or related technical fields.

• Robust hands-on experience in the development of AI and Generative AI applications.

• Strong understanding of Large Language Models (LLMs), foundation models, prompt engineering, model APIs, and AI application architecture.

• Demonstrated experience in transitioning AI solutions from prototype to production.

• A strong Forward Deployment Engineering mindset with the capability to work directly with users or customers and quickly develop solutions based on their requirements.

• Strong programming skills and foundational knowledge in software engineering.

• Experience in designing scalable, reliable, and maintainable AI-powered systems.

• Ability to independently explore technical challenges and deliver solutions in ambiguous and rapidly evolving environments.

• Excellent communication and collaboration skills, especially when engaging with both technical and non-technical teams.

• Experience with LangChain or similar LLM orchestration frameworks.

• Practical experience in building Agentic AI systems, autonomous workflows, or AI agents.

• Familiarity with implementing Retrieval-Augmented Generation (RAG) pipelines.

• Knowledge of vector databases, embeddings, semantic search, and document processing.

• Understanding of AI evaluation frameworks, observability, guardrails, and monitoring of LLM applications.

• Experience with cloud platforms and contemporary deployment practices such as Docker, Kubernetes, and CI/CD.

• Exposure to multi-agent architectures, tool calling, function calling, and workflow orchestration.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Health, dental, and vision insurance coverage.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements and a supportive work environment.

• Access to cutting-edge tools and technologies in the AI field.