AI/ML Engineer
HybridBengaluru, Karnataka, India or Delhi, Delhi, India
Bengaluru, Karnataka, India or Delhi, Delhi, IndiaHybridFull TimeEnterprise
Full TimeEnterprise
Job Summary
Build LLM-powered dashboards and autonomous agents for retail operations, store maintenance, and new store openings using Claude, GPT-4, or Gemini APIs. Design prompt pipelines, RAG workflows, and escalation routing systems to automate triage, anomaly detection, and vendor coordination. Develop robust ETL/ELT pipelines ingesting POS, ERP, and IoT data into Snowflake, BigQuery, or Redshift while monitoring model accuracy and implementing fine-tuning strategies. Collaborate with store managers and leadership to translate retail KPIs into automated metrics and support AI tool rollout with documentation.
Required Qualifications
- Python proficiency (pandas, NumPy, scikit-learn, FastAPI/Flask for APIs)
- Experience with LLM APIs — such as Anthropic Claude, OpenAI GPT, Google Gemini, Mistral, or similar — and understanding of their capabilities and limitations
- Prompt engineering, RAG pipelines, and agent frameworks (LangChain / LangGraph / CrewAI or equivalent)
- SQL and working knowledge of cloud data warehouses (Snowflake / BigQuery / Redshift)
- Data pipeline tools: dbt, Airflow, Prefect, or equivalent
- Familiarity with vector databases (Pinecone, Weaviate, ChromaDB) for RAG architectures
- Dashboard/visualization experience: Streamlit, Tableau, Power BI, Metabase, or similar
- Version control with Git and experience in CI/CD pipelines
- Basic ML model lifecycle management (training, evaluation, deployment, monitoring)
- 1–3 years of professional experience in data engineering, ML engineering, or a related AI/software role
- Ability to work cross-functionally with non-technical stakeholders (store managers, operations leads, C-suite)
- Strong problem-solving mindset with a bias for action
- Clear written and verbal communication — can translate AI concepts into plain language for retail teams
- Comfortable operating in ambiguous, fast-paced environments with evolving requirements
- Detail-oriented with a focus on data quality and responsible AI use
Desired Qualifications
- Prior experience in a SaaS company is strongly preferred — you understand product thinking, iterative development, and API-driven architectures
- Exposure to or interest in retail operations, supply chain, or brick-and-mortar technology
- Experience with multi-modal AI (image/document understanding for store audits, maintenance photos, etc.)
- Exposure to agentic frameworks and tool-use patterns (function calling, MCP, etc.)
- Knowledge of retail-specific systems (SAP Retail, Oracle Retail, Manhattan Associates, etc.)
- Experience with real-time data streaming (Kafka, Kinesis)
- Prior work in building internal tooling or AI copilots for operations teams
- Familiarity with responsible AI, bias detection, and model governance frameworks
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