Infinity Techno Vision
AI Engineer - Generative AI & Agentic AI
- Compensation
- Not disclosed
- Location
- India
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 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.
Nice to have
- 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.
- 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.
Full 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.