Website:
uhr.co.in
Job details:
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 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 Leader
Contact Person- Swati Sharma - Recruitment Consultant
Send CV and Reply mail to: [email protected];
Will call you for detail discussion, if your Profile is relevant.
Click on Apply to know more.