Sr. Gen AI Engineer

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

Benefits offered by this job

Freelance / contract engagement

Remote work within India

Exposure to LLMs and AI technologies

Direct collaboration with customers &

Ownership of AI solutions from protos/

Job summary

Lever, Inc. in India seeks a Sr. Gen AI Engineer to build and productionize next-generation AI solutions.

You will translate complex business challenges into practical AI architectures and scalable systems, working closely with customers and product teams to deliver real-world outcomes. The role blends hands-on engineering with forward deployment, enabling LLM-powered applications, intelligent workflows and AI-driven automation while balancing performance, security and cost.

Qualifications

• 5–13 years of professional experience in software engineering, AI or ML.
• Hands-on experience developing AI and Generative AI applications.
• Strong understanding of Large Language Models, prompt engineering, and AI architecture.
• Experience taking AI solutions from prototype to production deployment.
• Ability to collaborate with users/customers and deliver tailored AI solutions.

Responsibilities

• Design, develop and implement scalable AI/GenAI solutions.
• Build and productionize LLM-powered applications and workflows.
• Collaborate with customers, product teams and stakeholders to solve real-world challenges.
• Translate ambiguous requirements into practical AI architectures and production code.
• Develop, test, deploy and optimize AI models across cloud and on‑prem environments.
• Integrate foundation models and LLM APIs into scalable apps with attention to performance, security and cost.
• Evaluate emerging GenAI tech and assess fit for business use cases.
• Troubleshoot model/app issues and improve quality, latency and scalability.
• Create reusable components, APIs and tools to accelerate AI deployment.

Skills

AI engineering

Generative AI

Prototyping

Cloud deployment

Communication

Tools

Docker

Kubernetes

CI/CD

LangChain

LLM APIs

Job description

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

This is a hands-on senior engineering opportunity focused on building and productionizing advanced AI and Generative AI solutions.

You will transform complex and sometimes ambiguous business challenges into practical AI architectures, prototypes, and scalable production systems.

The role combines deep technical engineering with forward deployment, working closely with customers, product teams, and technical stakeholders.

You will develop LLM‑powered applications, intelligent workflows, and AI‑driven automation while balancing performance, reliability, security, and cost.

The environment is fast‑paced and innovation‑driven, with opportunities to evaluate emerging models, frameworks, and agentic AI technologies.

You will also contribute reusable APIs, components, evaluation frameworks, and engineering practices that accelerate AI adoption.

This contract role is well suited to an experienced AI engineer who enjoys ownership, experimentation, and delivering measurable real‑world solutions.

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.
• Partner directly with customers, 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‑ready 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 Generative AI technologies, frameworks, and models and assess their suitability for specific business use cases.
• Troubleshoot model and application issues while continuously improving 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 and adoption of AI applications.
• Establish effective evaluation, monitoring, testing, 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.
• Proven ability to take AI solutions from experimentation and prototyping through production deployment.
• Strong forward deployment engineering mindset, with the ability to work directly with users or customers and rapidly develop solutions around their requirements.
• Strong programming fundamentals and software engineering expertise.
• Experience designing scalable, reliable, secure, and maintainable AI‑powered systems.
• Ability to independently investigate technical problems, navigate ambiguity, and deliver solutions in rapidly changing environments.
• Strong communication and collaboration skills, particularly when working with both technical and non‑technical stakeholders.
• Experience with LangChain or comparable LLM orchestration frameworks is advantageous.
• Hands‑on experience building Agentic AI systems, autonomous workflows, or AI agents is a plus.
• Experience implementing Retrieval‑Augmented Generation (RAG), vector databases, embeddings, semantic search, and document‑processing pipelines is desirable.
• Familiarity with AI evaluation frameworks, observability, guardrails, and LLM application monitoring is beneficial.
• Experience with cloud platforms and modern deployment practices such as Docker, Kubernetes, and CI/CD is preferred.
• Exposure to multi‑agent architectures, tool calling, function calling, and workflow orchestration is an advantage.

Benefits

• Freelance / contract engagement.
• Remote working opportunity within India.
• Compensation range of ₹10,00,000–₹65,00,000 per year, as stated in the original posting.
• Opportunity to work on advanced AI and Generative AI initiatives.
• Exposure to LLMs, AI agents, RAG, model orchestration, and emerging AI technologies.
• Direct collaboration with customers, product teams, software engineers, and other technical stakeholders.
• Opportunity to work on AI solutions from early experimentation through production deployment.
• Flexible environment suited to experienced engineers who value autonomy and ownership.

How Jobgether works

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

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