Senior Gen AI Engineer – Freelancer

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

📋 Description

• Design, develop, and implement scalable AI and Generative AI solutions that meet business and product needs

• Build and deploy LLM-powered applications, intelligent automation systems, and AI-driven workflows

• Act as a Forward Deployment Engineer, collaborating directly with customers, product teams, and internal stakeholders

• Convert unclear business challenges into actionable AI architectures, prototypes, and production implementations

• Develop, test, deploy, and optimize AI models and applications within cloud and enterprise environments

• Integrate foundation models and LLM APIs into scalable applications while ensuring performance, reliability, security, and cost efficiency

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

• Diagnose model and application issues and enhance system quality, latency, scalability, and accuracy

• Collaborate with software engineers, data scientists, product managers, and other stakeholders to provide end-to-end AI solutions

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

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

• Keep up-to-date with trends 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

• Significant hands-on experience with AI and Generative AI application development

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

• Proven track record of transitioning AI solutions from prototype to production

• Strong Forward Deployment Engineering mindset with the capability to work directly with users or customers

• Solid programming skills and software engineering fundamentals

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

• Ability to independently investigate technical issues and provide solutions in ambiguous and rapidly changing environments

• Excellent communication and collaboration skills with both technical and non-technical teams

• Familiarity with LangChain or similar LLM orchestration frameworks

• Hands-on experience in developing Agentic AI systems, autonomous workflows, or AI agents

• Experience in 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 modern 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 incentives

• Comprehensive health, dental, and vision insurance

• Opportunities for professional development and continuous learning

• Flexible work hours and remote work options

• Supportive and inclusive work environment