AI Engineer - Generative AI & Agentic AI

Infinity Techno Vision; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Infinity Techno Vision seeks a skilled AI Engineer to design, develop, and deploy AI-powered enterprise applications using Generative AI, LLMs, and AI agents. You will work on RAG pipelines, REST APIs, and cloud-native backends, collaborating with cross-functional teams to translate requirements into scalable solutions.

The role requires strong Python proficiency, hands-on AI/ML experience, and a focus on security, governance, and cost efficiency across the AI lifecycle.

Qualifications

• 5+ years of software development experience using Python, Java, .NET, or similar technologies.
• At least 2 years of hands-on AI/ML development experience.
• Strong Python programming, SQL, and REST API development skills.
• Practical experience with Generative AI, LLMs, prompt engineering, and model/API integration.
• Familiarity with LangChain, LangGraph, or similar AI development frameworks.
• Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Knowledge of relational and/or NoSQL databases, Git, Docker, and CI/CD pipelines.
• Understanding of application architecture, debugging, testing, and production deployment practices.
• Ability to build scalable, secure, and maintainable AI-powered applications.

Responsibilities

• Design, develop, test, and deploy AI/ML solutions and intelligent automation applications.
• Build Generative AI applications using LLMs, foundation models, APIs, and relevant AI frameworks.
• Develop AI agents and agentic workflows for enterprise automation.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using embeddings, document retrieval, and vector databases.
• Develop scalable backend services and REST APIs to support AI-powered applications.
• Process structured and unstructured data for AI applications, including document extraction and automated document analysis.
• Integrate AI solutions with enterprise applications, databases, and cloud platforms.
• Implement document processing solutions using OCR and intelligent document processing techniques.
• Deploy, monitor, evaluate, and optimize AI applications for performance, reliability, and cost efficiency.
• Apply security, data privacy, responsible AI, and governance practices throughout the AI application lifecycle.
• Collaborate with product managers, software engineers, and business stakeholders to translate requirements into production-ready solutions.
• Maintain code quality, testing standards, documentation, and CI/CD workflows.

Skills

Python/Java/.NET

AI/ML development

REST API development

Generative AI/LLMs

LangChain/LangGraph

Cloud platforms (AWS/Azure/GCP)

SQL/NoSQL databases

Git & CI/CD

System design & deployment

Job description

We are looking for a skilled AI Engineer with strong expertise in Generative AI, Large Language Models (LLMs), Agentic AI, and intelligent automation to design, develop, and deploy AI-powered enterprise applications.

The ideal candidate should have a strong software engineering background, hands-on experience building AI/ML solutions, and practical knowledge of Python, LLM integrations, Retrieval-Augmented Generation (RAG), AI agents, and cloud-native application development.

Important Selection Requirement: Candidates must successfully clear the Predictive Intelligence (PI) assessment and Cognitive Assessment as part of the selection process.

Key Responsibilities

• Design, develop, test, and deploy AI/ML solutions and intelligent automation applications.
• Build Generative AI applications using LLMs, foundation models, APIs, and relevant AI frameworks.
• Develop AI agents and agentic workflows for enterprise automation and business use cases.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using embeddings, document retrieval, and vector databases.
• Develop scalable backend services and REST APIs to support AI-powered applications.
• Process structured and unstructured data for AI applications, including document extraction and automated document analysis.
• Integrate AI solutions with enterprise applications, databases, and cloud platforms.
• Implement document processing solutions using OCR and intelligent document processing techniques.
• Deploy, monitor, evaluate, and optimize AI applications for performance, reliability, and cost efficiency.
• Apply security, data privacy, responsible AI, and governance practices throughout the AI application lifecycle.
• Collaborate with product managers, software engineers, and business stakeholders to translate requirements into production-ready solutions.
• Maintain code quality, testing standards, documentation, and CI/CD workflows.

Required Skills

• 5+ years of software development experience using Python, Java, .NET, or similar programming technologies.
• At least 2 years of hands-on AI/ML development experience.
• Strong Python programming, SQL, and REST API development skills.
• Practical experience with Generative AI, LLMs, prompt engineering, and model/API integration.
• Familiarity with LangChain, LangGraph, or similar AI development frameworks.
• Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Knowledge of relational and/or NoSQL databases, Git, Docker, and CI/CD pipelines.
• Understanding of application architecture, debugging, testing, and production deployment practices.
• Ability to build scalable, secure, and maintainable AI-powered applications.

Good-to-Have Skills

• Experience with Google Vertex AI, Gemini, or OpenAI models and APIs.
• Hands-on knowledge of Agentic AI, multi-step agent workflows, RAG, embeddings, and vector databases.
• Experience with Google Cloud Run, Kubernetes, and cloud-native application development.
• Knowledge of Document AI, OCR, document extraction, and intelligent document processing.
• Familiarity with MLOps, model evaluation, monitoring, AI governance, and responsible AI practices.
• Experience optimizing LLM latency, token usage, retrieval quality, and inference costs.

Desired Candidate Profile

• Strong software engineering fundamentals and practical AI/ML implementation experience.
• Ability to take AI solutions from proof of concept to production deployment.
• Strong analytical, problem-solving, and debugging skills.
• Good communication and collaboration skills for working with a US-based client.
• Comfortable working remotely during the 5:00 PM - 2:00 AM IST shift.
• Willingness to complete the PI and Cognitive Assessments as part of the selection process.