Senior AI + Data Engineer
Experience: 3–8+ Years
Work Mode: Remote
Job Summary
Setoo Solutions is looking for a Senior AI + Data Engineer with strong expertise across AI/ML, Data
Engineering, Workflow Automation, and Backend Engineering. The ideal candidate should be
hands-on with building scalable data pipelines, AI/LLM workflows, recommendation systems,
asynchronous processing systems, and production-grade APIs.
The candidate will work across the complete engineering lifecycle, from data ingestion and
processing to AI/ML model workflows and backend API development.
Key Responsibilities
- Build and manage n8n workflows integrating APIs, databases, AI services, and internal
systems.
- Develop LLM workflows, context engineering, RAG pipelines, embeddings, and AI/ML
solutions.
- Prepare and transform complex datasets from data warehouses for model training,
feature engineering, and analytics.
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Design, develop, and optimize ETL/ELT pipelines and large-scale data processing jobs.
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Develop and enhance Recommendation Engines, ranking systems, and personalization
solutions.
- Design parallel processing and asynchronous workflows using queues and distributed
workers.
- Manage and optimize Celery workers, including task queues, retries, concurrency, and
workload distribution.
-
Develop scalable backend services and REST APIs using Python and FastAPI.
-
Work with SQL and NoSQL databases, including MongoDB, and implement efficient data
models.
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Collaborate on Next.js/React integrations and AI/data-driven product features.
-
Troubleshoot and resolve performance, scalability, reliability, and data-quality issues
across the technology stack.
- Follow production engineering best practices for version control, testing, deployment,
monitoring, and system reliability.
Required Skills
-
Strong proficiency in Python and SQL
-
Ability to write and optimize complex SQL queries
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Strong understanding of Data Warehousing and ETL/ELT
-
Hands-on experience with MongoDB and NoSQL data modeling
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Experience building FastAPI / REST APIs
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Hands-on experience with n8n or similar workflow automation platforms
-
Strong understanding of Celery, task queues, parallel processing, and asynchronous
workflows
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Experience with Machine Learning and model training
-
Strong understanding of LLMs, Context Engineering, RAG, embeddings, and AI
workflows
-
Experience with Recommendation Systems / Ranking / Personalization
-
Basic knowledge of Next.js / React
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Good understanding of Git, databases, and production engineering practices
Good to Have
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Redis / RabbitMQ / Kafka
-
Docker / Kubernetes
-
Cloud platforms: AWS / GCP / Azure
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Vector Databases and embedding systems
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Apache Spark or other distributed processing frameworks
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MLOps, model monitoring, and production AI systems
Ideal Candidate Profile
-
Hands-on engineer capable of working across AI + Data + Backend Engineering.
-
Strong Python, SQL, and database expertise.
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Experience handling large and complex datasets.
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Ability to design and implement scalable data pipelines and AI workflows.
-
Strong understanding of distributed processing, asynchronous systems, and task
queues.
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Ability to take solutions from data ingestion → processing → AI/ML → API → production.
-
Strong troubleshooting and problem-solving skills with a focus on performance,
scalability, and reliability.
Pay: ₹140,000.00 per month
Application Question(s):
- notice period
- This is a contract role. : 3–6 months, initially starting with a 3-month engagement, subject to extension. Are you okay with this?
- Candidates should be available for the required overlap with US working hours. Are you okay with this?
- Remote, with occasional office visits as required. Are you okay with this?
- The payroll is from third party (Sourcedear) the pay is fixed at 1.4 LPM with no PF and ESI. Are you okay with this?
Work Location: Remote
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