Senior Gen AI Engineer – Freelancer

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

📋 Description

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

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

• Collaborate directly with customers, product teams, and internal stakeholders in the role of a Forward Deployment Engineer.

• Convert vague business challenges into actionable AI architectures, prototypes, and production-ready implementations.

• Create, test, deploy, and optimize AI models and applications across both cloud and enterprise settings.

• Integrate foundational models and LLM APIs into scalable applications, ensuring performance, reliability, security, and cost-effectiveness.

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

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

• Work collaboratively with software engineers, data scientists, product managers, and other stakeholders to provide comprehensive AI solutions.

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

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

• Maintain up-to-date knowledge of 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.

• Extensive hands-on experience in developing AI and Generative AI applications.

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

• Demonstrated success in transitioning AI solutions from prototype stage to production.

• A robust Forward Deployment Engineering mindset with the capacity to engage directly with users or customers to swiftly create solutions that meet their needs.

• Solid programming skills and software engineering fundamentals.

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

• Capability to independently investigate technical challenges and provide solutions in ambiguous and fast-paced environments.

• Strong communication and collaboration abilities, especially when working with both technical and non-technical teams.

• Familiarity with LangChain or similar LLM orchestration frameworks.

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

• Background in implementing Retrieval-Augmented Generation (RAG) pipelines.

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

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

• Proficiency with cloud platforms and modern deployment methodologies 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.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• A collaborative and innovative work environment.