Senior Gen AI Engineer (Freelancer)

Lever, Inc.; India; Remote; INR 1,000,000 - 6,500,000; Part time

Job summary

Lever, Inc. in India is seeking a Senior Gen AI Engineer (Freelancer) to design, develop, deploy, and optimize advanced AI and Generative AI solutions. You will work closely with product and engineering teams to turn business problems into scalable AI architectures and production-ready systems.

This hands-on role emphasizes forward deployment engineering, prototyping to production, and continuous improvement across cloud environments, with a focus on LLMs, agents, and AI-driven workflows.

Qualifications

• 5–13 years of experience in software engineering, AI or related fields.
• Strong hands-on experience in AI and Generative AI applications.
• Solid understanding of LLMs, foundation models, prompts, APIs and AI architecture.
• Proven experience taking AI solutions from prototype to production.
• Forward Deployment Engineering mindset with client-facing delivery.
• Strong programming and software engineering fundamentals.

Responsibilities

• Design, develop, and implement scalable AI and Generative AI solutions.
• Build production-ready LLM-powered applications and workflows.
• Act as Forward Deployment Engineer with customers and teams.
• Translate business problems into practical AI architectures and prototypes.
• Develop, test, deploy, and optimize AI models across cloud environments.
• Integrate foundation models and LLM APIs into scalable apps.

Skills

5–13 years of experience

AI and Generative AI

LLMs and foundation models

Forward Deployment Engineering

Prototype to production

Strong programming fundamentals

Tools

LangChain

LLM APIs

Docker

Kubernetes

Job description

This role is for one of our clients

Industry: Technology, Information and Media

Seniority level: Mid-Senior level

Min Experience: 5 years

Location: Remote (India)

JobType: Freelance / Contract

₹10,00,000 - ₹65,00,000 a year

We are looking for a highly experienced Senior Gen AI Engineer (Freelancer) with 5–13 years of professional experience to design, develop, deploy, and optimize advanced Artificial Intelligence and Generative AI solutions. The ideal candidate will have strong hands‑on expertise in AI, Generative AI, and forward deployment engineering, with the ability to work closely with business and technical teams to transform emerging AI capabilities into reliable, production‑ready solutions.

This is a hands‑on role suited for an engineer who thrives in fast‑paced environments, enjoys solving complex technical problems, and can take AI initiatives from experimentation and prototyping through deployment and continuous improvement.

Key Responsibilities

• Design, develop, and implement scalableAI and Generative AI solutionsaligned with business and product requirements.
• Build and productionize LLM-powered applications, intelligent automation systems, and AI-driven workflows.
• Work as aForward 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 experiencein software engineering, Artificial Intelligence, Machine Learning, or related technical domains.
• Strong hands‑on experience inAI and Generative AIapplication development.
• Solid understanding ofLarge Language Models (LLMs), foundation models, prompt engineering, model APIs, and AI application architecture.
• Proven experience taking AI solutions fromprototype to production.
• StrongForward Deployment Engineeringmindset 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 withLangChainor similar LLM orchestration frameworks.
• Hands‑on experience buildingAgentic AIsystems, autonomous workflows, or AI agents.
• Experience implementingRetrieval‑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