GenAI / Agentic AI Engineer – Are you passionate about building your career in the AI Engineer then Infosys is hiring the GenAI / Agentic AI Engineer for its fast growing team. This is a full time opportunity and based in Bangalore and offering The Good CTC. Explore the complete article for further details and follow along on LinkedIn to stay updated.
About the Infosys Company
Infosys serves as a premier architect of global digital transformation, driving innovation through its advanced suite of Information Technology (IT) and next-generation digital services. At the core of its technological ecosystem is Infosys Cobalt, a comprehensive cloud-integrated framework containing tens of thousands of cloud assets designed to maximize enterprise agility, efficiency, and infrastructure scaling across hybrid environments.
Complementing this is Infosys Topaz, an AI-first suite that leverages generative artificial intelligence and deep analytics to modernize application delivery, automate workflows, and optimize complex data architectures. By merging cognitive automation, custom API engineering, and robust cybersecurity protocols, the company shifts enterprises away from legacy IT mechanisms toward resilient, scalable, and hyper-connected computing platforms.
- Role : GenAI / Agentic AI Engineer
- Location : Bangalore
- Employee Type : Full Time , Permanent
- Department : Artificial Intelligence and Technology
- Experience : 6 – 12 Years
- CTC – Not Mentioned
- Link to Apply – Infosys – GenAI / Agentic AI Engineer
Job Highlights for GenAI / Agentic AI Engineer
- BE/BTech, ME/MTech qualification from a well-known institute.
- Organizations frequently deploy artificial intelligence programs throughout recruitment to analyze submissions, screen resumes, and assess applicant feedback.
- This opportunity is open to professionals possessing between 6 and 12 years of applicable industry experience.
- This position requires an AI specialist who can natively integrate financial analysis, core accounting principles, and fiscal concepts into machine learning models.
- The ideal candidate must design algorithms capable of autonomously generating structured, highly accurate credit assessments and comprehensive financial reports.
- The candidate will join the Topaz COE (Center of Excellence) unit within our core service line to spearhead advanced, AI-driven enterprise transformation initiatives.
Job Description for GenAI / Agentic AI Engineer
- Liaise directly with clients to resolve data discrepancies, extract missing documentation, and align on quantitative analytical frameworks.
- We are seeking a skilled AI Engineer to design, deploy, and scale advanced artificial intelligence and machine learning solutions within our financial risk domain.
- You will be responsible for automating complex financial workflows, architecting early-warning risk systems, and utilizing Generative AI to streamline credit reporting.
- Candidates must be known to develop GenAI features and workflows using python and AWS Bedrock.
- Applicants must know how to implement RAG pipelines like chucking, embeddings, retrieval, grounding.
- Using LangChain / Langgraph build simple / multi-step agent workflows.
- Candidates know how to integrate LLMs with APIs, tools and enterprise applications.
- Candidate having expertise in python and having the ability to write tested, maintainable Python code with CI/CD pipelines.
- Monitor basic latency, token usage and cost metrics
- Collaborate with architects, seniors and QA teams.
Desired Skill for GenAI / Agentic AI Engineer
- Mastery of core software principles including object-oriented programming (OOP), static typing, and modular application design.
- Experience building automated test suites using pytest or unittest, utilizing fixtures and test mocks.
- Foundational proficiency in asynchronous programming (async) to handle concurrent operations efficiently.
- Hands-on capability in runtime model invocation across foundational LLMs like Anthropic Claude and Amazon Titan.
- Fundamental compliance knowledge regarding AI data privacy, security access controls, and safety guardrails.
- Expertise in prompt engineering techniques, including system prompt design, dynamic context windowing, and few-shot learning.
- Implementation of advanced Retrieval-Augmented Generation (RAG) strategies and context grounding mechanisms.
- Exposure to LLM system evaluation benchmarks to track output accuracy and hallucination rates.
- Development of single and multi-agent workflows, state management, and conditional routing using LangChain or LangGraph.
- Command of distributed version control systems using Git, structured branch management, and collaborative Pull Request reviews.
- Continuous integration (CI) experience implementing automated linting, testing, and deployment build pipelines.
- Containerization fundamentals using Docker to pack, distribute, and orchestrate runtime application artifacts.
- This opportunity is open to professionals possessing between 6 and 12 years of applicable industry experience.
- BE/BTech, ME/MTech qualification from a well-known institute.
- Exhibit strong interpersonal and verbal communication skills to interface confidently with debt directors, corporate clients, and key institutional stakeholders.
- Possess a pragmatic, solution-oriented mindset with the capacity to understand high-level business objectives and overarching organizational strategy.
- Show a natural technical curiosity, a result-driven focus, and the capacity to assimilate new domain knowledge rapidly within collaborative team environments.
Read More | Wipro – Machine Learning Engineer
Education
- UG: Any Graduate
- PG: Any Postgraduate
Skill for GenAI / Agentic AI Engineer
- Monitoring
- Recruiting
- Artificial Intelligence
- Machine Learning
- Python
- CI/CD pipelines
- Stress testing
- Generative AI
- Devops
- Version Control Tools
- Docker
- AWS
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