Job DescriptionPosition: Senior AI & Data Platform EngineerJob Location: AhmedabadQualification:Experience: 5+ years of professional experience.Job Summary:The kind of work you’ll do:Design and deploy a cloud-based data lake with proper governance, security, and scalability built in from the start.Build ETL/ELT pipelines that connect accounting platforms, CRMs, ERPs, and third-party systems — turning raw operational data into clean, analytics-ready datasets.Develop APIs and integration layers that keep data flowing reliably between internal and external systems.Build AI agents and bots that can query unified data, generate insights, and act on information in real time — using LLMs, vector databases, and agentic orchestration frameworks.Design and implement RAG pipelines for semantic search and retrieval across large, complex datasets.Create dashboards and visualisations that make complex analysis accessible to non-technical stakeholders.Apply statistical and machine-learning techniques to improve forecasting accuracy, resource allocation, and business decision-making.Set up and manage CI/CD pipelines, cloud infrastructure, and DevOps practices so the platform runs at production grade.Champion AI adoption across the organisation — identify high-value use cases, build prototypes, run pilots, and help teams integrate AI tools into their daily workflows.Partner with business stakeholders to understand their needs, capture requirements, and translate them into data and AI solutions that actually get used.What you’ll bring:5+ years of professional experience across data engineering, backend engineering, or AI/ML engineering — ideally a mix.Strong Python and SQL skills — you’ve built production data pipelines and backend services, not just notebooks.Proven experience designing data lakes or data warehouses on a major cloud platform (AWS, GCP, or Azure).Hands-on experience with ETL/ELT tooling such as Airflow, dbt, or Prefect.Strong API development and systems integration experience — you’ve connected real-world, messy systems and made data flow reliably between them.Experience with LLMs, prompt engineering, and agentic frameworks (LangChain, LlamaIndex, CrewAI, or similar) — you’ve built AI systems that do real work, not just generate text.Working knowledge of vector databases and embedding pipelines for semantic search and retrieval.Practical, daily use of AI development tools — Claude Code, Cursor, GitHub Copilot, or similar. You’re comfortable in a workflow where AI generates code and you review, guide, and iterate.Experience with microservices, event-driven architecture, and authentication/authorisation patterns.The ability to explain technical concepts to non-technical people clearly. You’re a translator between what AI can do and what the business needs.Comfort with ambiguity — you don’t wait for detailed specs. You figure out the right thing to build and then build it.Bonus points:Strong Power BI capability (DAX, Power Query, Power Pivot) or experience with other BI/dashboarding tools.Experience building AI-driven SaaS products or client-facing AI tools.Familiarity with MCP integrations, agentic workflow orchestration, or building tools that AI agents use.MLOps experience, data governance frameworks, or real-time analytics pipelines.Background in accounting, financial services, or professional services.Please expedite and send the updated resume along with requested details and confirmation of interest.Regards,Pooja Raval - Sr. Consultant / Team LeaderContact Person- Swati Sharma - Recruitment ConsultantSend CV and Reply mail to: ;Will call you for detail discussion, if your Profile is relevant.
