Role family
Hire data & ai teams in India
Combine data foundations, machine learning, generative AI, agents, automation and customer-facing implementation.
Data & AI roles.
Open a focused role page for responsibilities, assessment signals and practical hiring context.
Data engineers
Reliable data pipelines, modelling and platforms that support analytics and AI.
View details →RoleAI & ML engineers
Production-focused machine learning systems connected to real business workflows.
View details →RoleGenerative AI & LLM engineers
LLM applications grounded in relevant data, evaluation and practical safeguards.
View details →RoleAI agent engineers
Tool-using AI workflows with observable orchestration and human checkpoints.
View details →RoleAI automation engineers
Intelligent automation that connects business processes, APIs and AI services.
View details →RoleMLOps & AI platform engineers
Repeatable paths for model delivery, governance and production operation.
View details →RoleForward Deployed Engineers (FDE)
Engineers who work close to users to adapt technology to complex operational problems.
View details →Capabilities across the data & ai family.
The right combination depends on the mission, current team shape and ownership you want offshore engineers to take.
- Batch and streaming pipelines
- Data modelling and transformation
- Warehouses and lakehouse platforms
- Data quality and observability
- Model development and evaluation
- Feature and inference pipelines
- Applied machine learning integration
- Monitoring and responsible controls
- Retrieval-augmented generation
- Prompt and context engineering
- Model evaluation and guardrails
- Application and workflow integration
Design the data & ai role mix before reviewing profiles.
A useful category brief connects skills to an operating context instead of treating job titles as interchangeable.
Define the mission
Describe the product, platform or operational result the group must move.
Map ownership
Clarify client leadership, offshore ownership and the decisions each role can make.
Balance seniority
Match architecture, implementation and coordination needs to appropriate experience.
Plan collaboration
Agree overlap, ceremonies, access, evidence and escalation before onboarding.
Build a data & ai team.
Share the roadmap priority, current team and role gaps. We will help shape the smallest useful team.