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5.0 - 7.0 years

15 - 25 Lacs

pune

Work from Office

About the Role We are seeking a Senior AI Engineer with strong expertise in Large Language Models (LLMs), intelligent agents, and data science workflows . This role will focus on building AI-driven systems, automated research pipelines, and applied data insights that support decision-making and business growth. The ideal candidate has hands-on experience in both AI engineering and data science , with the ability to design end-to-end solutions from extracting and structuring data, to designing LLM-powered workflows and delivering business-ready insights. Key Responsibilities 1. AI Workflow & Agent Development Design and implement AI-powered workflows and agents that can autonomously research, analyze, and summarize information. Integrate LLMs with external APIs, search engines, and automation tools (e.g., n8n, LangChain, custom pipelines). Build repeatable and scalable systems that reduce manual research and improve efficiency. 2. Data Science & Insights Generation Collect and process structured and unstructured data from APIs, sitemaps, and web sources. Apply analytical methods to uncover trends, patterns, and benchmarks. Use AI/ML to enrich raw data (summarization, clustering, content scoring, categorization). Translate raw outputs into actionable insights for business stakeholders . 3. Prompt Engineering & LLM Applications Design advanced prompt strategies for different research and analysis scenarios. Experiment with LLMs to balance training-data knowledge vs real-time information retrieval. Build pipelines that evaluate brand, product, or market visibility through AI-driven queries. 4. Automation & Scalability Develop repeatable, modular pipelines that can be applied across different industries or data sources. Optimize workflows for performance, cost, and accuracy. Explore opportunities to productionize solutions for long-term adoption. 5. Collaboration & Communication Work closely with business and marketing teams to align AI outputs with strategic goals. Present complex technical results in simple, actionable formats. Stay updated on advancements in AI/ML tools and recommend adoption strategies. Qualifications Education : Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field. Experience : 5+ years in AI/ML engineering, with significant hands-on work in LLM-based applications . Technical Skills : Strong in Python (pandas, numpy, scikit-learn, BeautifulSoup, Playwright, LangChain, etc.). Hands-on with LLMs (OpenAI, Anthropic, HuggingFace ecosystem). Experience in workflow/agent frameworks (LangChain, LlamaIndex, n8n, Airflow). Familiarity with search APIs (Bing, SerpAPI, Tavily) and web scraping methods. Data visualization (Matplotlib, Plotly, Tableau/PowerBI). Understanding of data governance, trust & safety, and evaluation frameworks (e.g., EEAT for content). Soft Skills : Strong problem-solving ability with an experimental mindset. Ability to connect technical outputs with business impact . Excellent communication and documentation skills. Self-driven and comfortable working in ambiguous, evolving problem spaces . Why Join Us Build cutting-edge AI agents and workflows that directly influence strategic decisions. Work at the intersection of AI, data science, and business intelligence . Freedom to experiment with emerging AI technologies and shape scalable solutions. Collaborative culture where innovation and results are valued over bureaucracy.

Posted 8 hours ago

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