Sr. Gen AI Engineer

Engg; India; Remote; INR 1,000,000 - 6,500,000; Part time

Job summary

Engg is seeking a Senior Gen AI Engineer for a freelance/contract role with remote work options from India. You will design and deploy scalable AI and Generative AI solutions, integrate LLM APIs, and collaborate with customers and product teams to deliver end-to-end AI workflows.

The role requires deep hands-on experience with AI/Gen AI, LLMs, and cloud-native deployments, with a strong forward deployment mindset to rapidly build solutions for clients.

Qualifications

• 5–13 years of experience in software engineering or AI/ML domains.
• Hands-on AI and Generative AI development with production exposure.
• Strong knowledge of LLMs, foundation models, and prompt engineering.

Responsibilities

• Design, develop, and implement scalable AI/Generative AI solutions aligned with business needs.
• Build and productionize LLM-powered apps, automation systems, and AI workflows.
• Collaborate with customers and teams to deliver tailored AI solutions end-to-end.
• Translate complex problems into practical AI architectures and production implementations.
• Develop, test, deploy, and optimize AI models across cloud and on-prem environments.
• Integrate foundation models and LLM APIs into scalable apps with security and cost in mind.
• Evaluate new Gen AI tech and assess applicability to use cases.
• Troubleshoot model/app issues and improve system quality, latency, and accuracy.
• Create reusable components, APIs, tools, and frameworks for rapid deployment.
• Establish evaluation, monitoring, and testing for AI/LLM systems.

Skills

AI development

LLMs & foundation models

Forward deployment

Python programming

Cloud architectures

Tools

LangChain

LLM APIs

Docker

Kubernetes

CI/CD

Job description

Weekday - Sr. Gen AI Engineer Sr. Gen AI Engineer India Technology, Information and Media – Technology, Information and Media / Contract / Remote

₹10,00,000 - ₹65,00,000 a year

Key Responsibilities

• 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 , partnering directly with customers, product teams, and internal stakeholders to understand real-world challenges and deliver tailored AI solutions.
• Translate ambiguous business problems 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 considering performance, reliability, security, and cost.
• Evaluate emerging Gen AI technologies, frameworks, and models and determine their applicability to business use cases.
• Troubleshoot model and application issues and continuously improve system quality, latency, scalability, 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 applications.
• Establish appropriate evaluation, monitoring, and testing approaches for AI and LLM-based systems.
• Stay current with developments in Generative AI, LLMs, AI agents, model orchestration, and enterprise AI deployment.

Must-Have Skills

• 5–13 years of experience in software engineering, Artificial Intelligence, Machine Learning, or related technical domains.
• Strong hands-on experience in AI and Generative AI application development.
• Solid understanding of Large Language Models (LLMs) , foundation models, prompt engineering, model APIs, and AI application architecture.
• Proven experience taking AI solutions from prototype to production .
• Strong Forward Deployment Engineering mindset with the ability to work directly with users or customers and rapidly build solutions around their requirements.
• Strong programming and software engineering fundamentals.
• Experience designing scalable, reliable, and maintainable AI-powered systems.
• Ability to independently investigate technical problems and deliver solutions in ambiguous and rapidly changing environments.
• Strong communication and collaboration skills, particularly when working across technical and non-technical teams.

Good-to-Have Skills

• Experience with LangChain or similar LLM orchestration frameworks.
• Hands-on experience building Agentic AI systems, autonomous workflows, or AI agents.
• Experience implementing Retrieval-Augmented Generation (RAG) pipelines.
• Knowledge of vector databases, embeddings, semantic search, and document processing.
• Familiarity with AI evaluation frameworks, observability, guardrails, and LLM application monitoring.
• 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.

Engagement Role: Senior Gen AI Engineer (Freelancer) Experience: 5–13 Years Engagement Type: Freelance / Contract Focus: AI | Generative AI | Forward Deployment Engineering Preferred: LangChain | Agentic AI | RAG

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans.

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