• 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 applicable, including 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 tests, and 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 Pipelines, containerized 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 Databases, including 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 Recall@k, Precision@k, MRR/NDCG
• Proficiency in Python or Java and familiarity with REST API, FastAPI, with 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 etc, and 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