Work you’ll do

The key job responsibilities will be to:

• Analyze client requirements, perform gap analysis, design and develop digital solutions using data analytics tools and technologies to solve client needs
• Design, build, and implement custom AI and Generative AI solutions tailored to meet specific business needs
• Utilize advanced machine learning techniques to develop/train AI models and fine-tune Gen-AI models.
• Architect, build, and optimize agentic AI systems (e.g., autonomous agents, multi-agent frameworks, LLM-powered agents). Integrate agentic AI solutions with existing enterprise platforms and workflows.
• Evaluate emerging agentic AI models, frameworks, and toolkits. Prototype and benchmark agentic AI solutions for scalability, robustness, and safety.
• Continuously monitor and improve the performance of AI models to ensure they meet the desired performance metrics
• Deploy solution across various cloud and on-prem computing platforms
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Conduct data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making.
• Provide technical expertise and thought leadership in the field of AI/Generative AI to guide clients in adopting AI-driven solutions.
• Stay up to date with the latest advancements in AI and machine learning technologies to incorporate cutting-edge solutions into projects.

Required skills

• Proficiency in designing and developing generative AI models and AI algorithms utilizing state-of-the-art techniques.
• Experience in developing and maintaining data pipelines and Retrieval-Augmented Generation (RAG) solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning
• Experience with cloud services (AWS, Azure, GCP) for deploying AI models and applications.
• Familiarity with Gen AI application design and architecture
• Practical experience of evaluating Large-Language Models (LLM) performance (using common metrics)
• In-depth knowledge of Natural Language Processing (NLP) and its applications in AI solutions.
• Expertise in handling large multi-modal data sets and applying data preprocessing techniques to ensure data quality and relevance.
• Ability to analyze and interpret complex data to derive actionable insights and drive decision-making processes
• Strong knowledge of programming languages like Python and SQL
• Proficiency in building agent frameworks, RAG pipelines, experience in LLM Frameworks like LangChain or LlamaIndex; implementation exposure to vector databases like Pinecone, Chroma or FAISS
• Familiarity with agentic AI frameworks and concepts - LangChain, LangGraph, AutoGen, Model Context Protocol (MCP)’s
• Strong understanding of Gen AI techniques and LLMs such as GPT, Gemini, Claude, etc. and Open Source LLMs (Llama, Mistral, etc.)
• Expertise in Natural Language Processing (NLP), Deep Learning, LLMs & Generative AI (Gen AI)
• Experience with frameworks such as TensorFlow, PyTorch and Keras
• Familiar with AI/Gen AI Ethics & Governance frameworks, applications and archetypes

Preferred skills

• Certification in Cloud (AWS/ Azure / GCP)
• Certification in AI/ML or Data Analytics

Qualification

• B.Tech/B.E. and/or MBA

Preferred Locations

• Hyderabad
• Bengaluru
• Gurgaon