Shortlist target
We focus the search around your data, model, stack and product context before sharing profiles.
eThing Solutions · AI engineering talent
Hire AI Developers and Engineers in India
Tell us the model, data, platform and product outcome you need. We’ll share suitable, pre-vetted AI developer profiles within 48 hours.
- ◈ NDA protected
- ◷ Global timezone overlap
- ↗ Flexible engagement
Companies we have worked with
AI developer proof
AI talent aligned to the outcome your product needs next.
Applied AI capability
Support for production AI applications, model workflows, data pipelines and responsible deployment.
Validate fit early
Meet shortlisted AI engineers before choosing an engagement model or start date.
Capabilities
AI delivery capabilities for the product opportunity ahead.
Build useful AI features, reliable model workflows and production-ready applications with engineers matched to your technical and product context.
Generative AI products
LLMs, RAG, agent workflows and evaluation patterns for AI features people can use.
Machine learning
Model development, experimentation and data preparation for applied ML initiatives.
MLOps & deployment
Model serving, monitoring, CI/CD and cloud-aware workflows for reliable AI systems.
AI integration
Connect AI capability to your APIs, product experience, data sources and operating workflow.
Hiring requirements
AI developers for hire for applied AI products
Hire AI developers for applications involving language models, retrieval-augmented generation, machine learning or model integration. Define the use case, data sources, evaluation approach and deployment environment before selecting candidates.
If you need to hire an AI engineer, distinguish application integration from model development, data engineering and MLOps. Ething can discuss the specialist profile your team needs for the specific work.
Representative AI delivery outcome
A product team explored AI-assisted workflows without losing focus on its core roadmap.
Requirements were focused around model experience, Python, data context and product integration, so the team could move straight to relevant interviews.
Prioritise the AI opportunity
A time-sensitive workflow needed practical AI capability while the existing team remained focused on the core product.
Shortlist for applied fit
We narrowed the search to the model, integration and delivery experience that mattered most.
Why eThing
Move faster without skipping the decisions that protect AI delivery quality.
What you getThe eThing approach
Fast, focused shortlistRelevant AI profiles can be shared after we understand the model, stack, data context and delivery goals.
Applied AI relevanceShortlists are aligned to practical GenAI, ML, MLOps and integration experience, not just keyword matches.
Flexible engagementAdd one specialist or an AI delivery pod around the roadmap you have.
Replacement supportIf the fit is not right, a clear replacement process helps keep your project moving.
Delivery-led cost controlShape the engagement around the AI capability your product needs next.
Client stories
Trusted by teams building practical AI capability.
Global fintech85 employees
★★★★★“The shortlist focused on real product delivery experience, not only AI keywords. That gave our team confidence in the technical conversations.”
Healthtech scale-up65 employees
★★★★★“We needed engineers who could understand data, models and the product workflow. The matching process was precise and practical.”
E-commerce platform220 employees
★★★★★“The team helped us think beyond a demo and focus on engineers who could integrate AI into an existing delivery environment.”
Our Process
- 01
Tell Us What You Need
Share the model, data, platform and product outcome you want to build.
- 02
Receive Vetted Profiles
We screen relevant AI talent and send a focused shortlist.
- 03
Interview Your Shortlist
Meet suitable engineers and assess practical AI delivery fit.
- 04
Start Building
Onboard quickly and begin moving your AI initiative forward.
Matching preview
Examples of AI talent we can help you find.
Senior Generative AI Engineer
LLMs · RAG · AI applications
Vetting details shared on requestMachine Learning Engineer
Model development · MLOps · data
Vetting details shared on requestAI Application Engineer
Product engineering · integrations · Python
Vetting details shared on requestFAQs
Questions, answered.
How quickly can I hire an AI developer?
Matched AI engineering profiles can be shared within 48 hours after requirements are understood.
Can you help with GenAI / LLM projects?
Ething can discuss relevant AI engineering requirements, including GenAI and LLM project needs.
Can AI engineers integrate with our existing product and data systems?
Yes. Describe your current stack, APIs, data sources and delivery workflow so matching can focus on relevant integration experience.
How quickly can I receive developer profiles?
Ething can provide matched AI engineer profiles within 48 hours after understanding your requirements.
Can I interview developers before hiring?
Yes. You can interview shortlisted professionals before committing.
Can I hire for a short-term project?
Flexible engagement models can support changing project requirements.
Can I scale the team up or down?
Yes. Team size can adapt as requirements change.
What happens if a developer is not the right fit?
A replacement guarantee is available; confirm applicable terms with Ething.
Build with the right AI team