Senior AI & Data Platform Engineer

Position: Senior AI & Data Platform Engineer

Job Location:Ahmedabad

Qualification:

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 buildit.

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 Leader

Contact Person- Swati Sharma - Recruitment Consultant

Send CV and Reply mail to:

Will call you for detail discussion, if your Profile is relevant.