Senior Gen AI Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Gen AI Engineer based in India.

This is a hands-on engineering role focused on turning advanced Generative AI capabilities into reliable, production-ready solutions.

You will design, build, deploy, and optimize LLM-powered applications, intelligent automation, and AI-driven workflows.

The role combines deep technical execution with forward deployment, requiring you to work closely with customers, product teams, and business stakeholders.

You will translate ambiguous real-world challenges into practical AI architectures, prototypes, and scalable implementations.

You will also evaluate emerging models, frameworks, and agent technologies to identify opportunities for meaningful business impact.

Working in a fast-moving technology environment, you will collaborate across engineering, data science, and product teams to solve complex problems.

This opportunity is well suited to an experienced AI engineer who enjoys ownership, experimentation, and taking solutions from concept through continuous production improvement.

Accountabilities

• 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.
• Collaborate with software engineers, data scientists, product managers, and other stakeholders to deliver end-to-end AI solutions.
• Develop reusable components, APIs, tools, and frameworks that accelerate the deployment of AI-powered applications.
• Establish appropriate evaluation, testing, monitoring, and observability practices for AI and LLM-based systems.
• Stay current with developments in Generative AI, LLMs, AI agents, model orchestration, and enterprise AI deployment.

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.
• Ability to independently investigate complex technical problems and deliver solutions in ambiguous, rapidly changing environments.
• Strong written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams.
• Experience with LangChain or comparable LLM orchestration frameworks is desirable.
• Hands-on experience building Agentic AI systems, autonomous workflows, or AI agents is a plus.
• Experience developing Retrieval-Augmented Generation (RAG) pipelines is preferred.
• Knowledge of vector databases, embeddings, semantic search, and document processing is advantageous.
• Familiarity with AI evaluation frameworks, observability, guardrails, and LLM application monitoring is beneficial.
• Experience with cloud platforms and modern deployment technologies such as Docker, Kubernetes, and CI/CD is a plus.
• Exposure to multi-agent architectures, tool calling, function calling, and workflow orchestration is desirable.

Benefits

• Competitive annual compensation: ₹10,00,000-₹65,00,000, depending on experience and engagement scope.
• Fully remote opportunity available from anywhere in India.
• Freelance/contract engagement offering flexibility and project-based collaboration.
• Opportunity to work on advanced AI and Generative AI initiatives with real-world business applications.
• Hands-on exposure to LLMs, AI agents, RAG, model orchestration, cloud deployment, and emerging AI technologies.
• Opportunity to operate in a Forward Deployment Engineering environment with direct customer and stakeholder interaction.
• Scope to build reusable AI components, frameworks, and production-grade solutions with significant technical ownership.
• Fast-paced, innovation-focused environment suited to engineers who enjoy experimentation, autonomy, and solving complex problems.