AI Engineer | Rochak | Remote / WFH – Global

Rochak Digital Private Limited; United States; Remote; USD 40,000 - 60,000; Full time

Job summary

Rochak invites an AI Engineer to remotely lead real-world AI product development, focusing on LLM-powered applications, agent architectures, and cost-efficient deployment.

You will own end-to-end development, model benchmarking, and production deployment, collaborating with cross-functional teams in a global setting. Proficiency in Python, RAG, and prompt engineering is essential for success.

Qualifications

• BS/MS in Computer Science, AI, Software Engineering or related field.
• 3+ years of software engineering with Python.
• Hands-on experience with LLM APIs, orchestration frameworks and prompt engineering.
• Experience with RAG architectures and vector databases.
• Experience building AI agents, tool-calling systems, and multi-step workflows.
• Proven data pipeline design, API integrations, and automation experience.
• Remote work readiness for global engineering operations.

Responsibilities

• Architect, design, develop, test, and deploy real-world LLM-powered applications and automation systems.
• Build and maintain autonomous AI agents and multi-step workflows.
• Develop robust data pipelines and integration layers for AI apps.
• Design and optimize high-performance retrieval systems and RAG architectures.
• Integrate LLMs, APIs, databases, and external tools into cohesive ecosystems.
• Develop advanced prompt/context-management strategies for accuracy and cost efficiency.
• Benchmark models and outputs, and monitor production AI performance.

Skills

Python development

LLM APIs

RAG architectures

Vector databases

AI agents

Data pipelines

Cloud/remote work

Education

Bachelor’s or Master’s in CS/AI/SE

Tools

Pinecone

Qdrant

Milvus

Weaviate

LangChain

LlamaIndex

Docker

Kubernetes

Job description

Position Summary:

Driving innovation in real-world artificial intelligence products, Rochak is actively seeking an accomplished AI Engineer for a remote, global engagement. In this vital software engineering and technical product role, you will go beyond basic API integrations to architect, build, and scale actual LLM-powered products, autonomous AI agents, and intelligent automation systems. Bringing deep expertise in Python, retrieval-augmented generation (RAG), and prompt engineering, you will empower enterprise users to harness cutting-edge machine learning models with precision and cost efficiency. This prestigious career opportunity offers competitive global remuneration ($40,000–$60,000 USD/year), high technical visibility, and exceptional professional growth within a premier technology innovation enterprise.

Detailed Job Description:

As an AI Engineer supporting Rochak in a remote, global capacity, you will take full operational, architectural, and tactical ownership of generative AI application development, model benchmarking, and end-to-end production deployment. Your day-to-day responsibilities include designing LLM workflows, tool-calling systems, and multi-step agents, developing robust data pipelines for AI applications, and building advanced retrieval systems and RAG architectures. You will collaborate closely with cross-functional product management, engineering, and data science squads while evaluating model outputs, optimizing latency, and ensuring cost-effective production scaling. Furthermore, you will manage application requirements by submitting your resume, GitHub portfolio, and project examples via direct email to [e-mail] (CC: [e-mail]) with the mandatory subject line ‘AI Engineer Application’.

Key Responsibilities:

• Architect, design, develop, test, and deploy real-world LLM-powered applications, products, and intelligent automation systems.
• Build and maintain autonomous AI agents, multi-step agentic workflows, and complex tool-calling architectures.
• Develop robust, scalable data pipelines and integration layers for diverse AI applications and external services.
• Design and optimize high-performance retrieval systems and RAG architectures utilizing modern vector databases.
• Integrate large language models, APIs, relational databases, and external developer tools into cohesive product ecosystems.
• Formulate advanced prompt and context-management strategies to maximize model accuracy and reliability.
• Evaluate models, prompts, and real-world outputs through systematic benchmarking and regression testing.
• Continuously improve production reliability, execution latency, and token cost efficiency across all AI workloads.

Required Qualifications & Skills:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
• Minimum of 3+ years of progressive professional software engineering experience with deep expertise in Python development.
• Strong, demonstrable hands-on professional experience with LLM APIs, orchestration frameworks, and prompt engineering.
• Comprehensive working knowledge and practical proficiency in RAG architectures and vector database management.
• Deep practical experience building AI agents, tool-calling systems, and multi-step conversational workflows.
• Solid practical experience designing data pipelines, API integrations, and automation systems.
• Proven expertise in model benchmarking, evaluation frameworks, and production AI application deployment.
• Mandatory remote work readiness and independent problem-solving capabilities for global engineering operations.

Nice-to-Have Skills:

• Advanced professional certifications in machine learning, cloud architecture, or generative AI specializations.
• Prior professional working experience in top-tier technology consulting firms, AI research labs, or fast-growing SaaS startups.
• Hands-on familiarity with vector stores (Pinecone, Qdrant, Milvus, Weaviate) and LLM frameworks (LangChain, LlamaIndex).
• Experience utilizing container orchestration platforms (Docker, Kubernetes) and automated CI/CD pipelines.
• Exposure to agile software development methodologies and enterprise IT service management ticketing platforms.

Application Information:

• Recruiter: Rochak Recruitment Division
• Contact Name: Sahil Dhamija
• Email: [e-mail] (CC: [e-mail])
• Phone:
• Company Website: https://www.ainventionstech.com
• Salary/Rate: $40,000–$60,000 USD/year
• Deadline: Open until filled (Urgent Global AI Engineer Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time Remote Engagement

Recruitment Pro Tip:

When applying for this AI Engineer position through Rochak, ensure your application explicitly highlights your GitHub repository, portfolio projects, and practical experience building production-grade RAG and agentic AI systems.