AI Engineer

Wipro Limited (NYSE: WIT BSE: 507685 NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting design engineering and operations we help clients realize their boldest ambitions and build future-ready sustainable businesses. With over 230000 employees and business partners across 65 countries we deliver on the promise of helping our customers colleagues and communities thrive in an ever-changing world. For additional information visit us at .

• Design and engineer software with the customer/user experience as a key objective
• Actively contribute to Technology Engineering Practice
• Adhere to all best practice standards and policies
• Ensure service resilience service sustainability and recovery time objectives for all the solutions delivered
• Keep up to date and have expertise on current tools technologies and areas like cyber security and regulations pertaining to aspects like data privacy consent data residency etc. that are applicableincluding Responsible AI principles (bias fairness transparency safety/guardrails)
• Ensuring compliance with all relevant controls and standards
• Designing and implementing solutions using the technologies listed
• Delivering high performing solutions to complex problems
• Developing the most appropriate IT solutions in line with the solution design to meet customer needs
• Ensuring continuous improvement with responsibility to write the unit integration & automation testsand evaluation pipelines for RAG/agentic systems (retrieval quality groundedness task success)
• Working closely with Agile leads Product Owner Technical Leads Data analysts QA engineers and Business Analysts throughout the project lifecycle
• Performing & Leading Deployments to various environments using DevOps tools/CICD Pipelinescontainerized via Docker
• Technical Leadership skills to guide & mentor junior developers

To be successful in this role you should meet the following requirements:

• 6-10 years of experience in AI NLP ML or software engineering with at least 2-3 years of hands-on work in GenAI/LLM/Prompt Engineering
• Strong Knowledge of LLMs transformer architecture and how to interact with models using structured prompting
• Knowledge of different prompting techniques
• Knowledge of NLP techniques like NER POS Topic Modelling KeyPhrase Extraction etc
• Experience with LLM Orchastration frameworks(eg: LangChain/LlamaIndex) RAG and Vector Databasesincluding end-to-end RAG design: ingestion/chunking pipelines hybrid search (dense sparse/BM25) reranking latency/cost optimization and guardrails for hallucination/safety
• Experience with Agentic Frameworks (e.g. LangGraph CrewAI AutoGen Semantic Kernel)covering tool/function calling ReAct-style reasoning routing planning memory (short/long-term) multi-agent orchestration and agent evaluation
• Familiarity with Model Context Protocol (MCP) for standardized tool/context integration across agents
• Knowledge of RAG design patterns
• Understanding of retrieval evaluation metrics such as MRR/NDCG
• Proficiency in Python or Java and familiarity with REST API FastAPIwith strong Python fundamentals (OOP decorators generators/iterators context managers async/await)
• Experience building backend services: REST API design microservices architecture authentication/authorization (OAuth2/JWT) API security
• Knowledge and experience in use cases such as chatbot development summarization text-to-SQL search augmentation
• Exposure to open-source LLMs like Mistral LLama etcand experience with fine-tuning techniques (LoRA/QLoRA PEFT instruction tuning)
• Exposure to multimodal/document AI (OCR layout-aware parsing vision-language models)
• Working knowledge of at least one cloud platform (AWS/Azure/GCP) for deploying and scaling AI workloads and version control with Git
• Strong problem solving and experimentation skills
• Keep up to date and have expertise on current tools technologies and areas like cyber security and regulations pertaining to aspects like data privacy consent data residency etc. that are applicable including Responsible AI (bias fairness transparency) and LLM/agentic security practices (guardrails prompt-injection mitigation least-privilege access)
• Solid foundation in traditional ML (regression classification clustering feature engineering) alongside base/foundation model concepts (pre-training vs fine-tuning model selection trade-offs)

ESSENTIAL SKILLS (non-technical)

• Excellent communication skills
• Ability to explain complex ideas
• Ability to work as part of a team
• Ability to work in a team that is located across multiple regions / time zones
• Willingness to adapt and learn new things
• Willingness to take ownership of tasks
• Strong collaboration skills and experience working in diverse global teams
• Excellent problem-solving skills and ability to work independently and as part of a team

Mandatory Skills: Data Science.

Experience: 5-8 Years.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them we need people inspired by reinvention. Of yourself your career and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.