Hire AI Developers
AI and ML engineers from our in-house team in Bengaluru. Shortlisted in a week, onboarded in two to three. You interview before anyone joins.
TRUSTED BY TEAMS
///INTRODUCTION
What is Hire AI Developers?
Sodio provides AI developers, machine learning engineers, generative AI specialists, data engineers and MLOps engineers on staff augmentation, dedicated team or project-based engagements. Every engineer is a Sodio employee rather than a subcontracted freelancer, so the person you interview is the person who does the work. Shortlists typically arrive within a week and onboarding takes two to three weeks. You interview before anyone joins, and we replace at our cost if the fit is wrong.
///Engagement Models
Three Ways to Work With Us
Staff augmentation
You manage them. Engineers join your standups, your board and your repo, reporting to your leads. Best when you have engineering management capacity and need specific skills.
Dedicated team
We manage them. A ring-fenced team with a Sodio lead, delivering against agreed scope and reporting into you. Best when you need output rather than headcount.
Project-based
Fixed scope, fixed outcome, our team, our process. Best for a defined build with a clear success condition.
You manage them. Engineers join your standups, your board and your repo, reporting to your leads. Best when you have engineering management capacity and need specific skills.
We manage them. A ring-fenced team with a Sodio lead, delivering against agreed scope and reporting into you. Best when you need output rather than headcount.
Fixed scope, fixed outcome, our team, our process. Best for a defined build with a clear success condition.
///What We Build
AI Roles We Supply
AI/ML Engineers
Model training, fine-tuning, evaluation and deployment. PyTorch, TensorFlow, Hugging Face, scikit-learn. Experience taking models from notebook to serving infrastructure.
Generative AI Engineers
LLM application development, RAG pipelines, prompt and context engineering, agent orchestration. Working across OpenAI, Anthropic, Google and open-weight models.
Data Engineers
Pipelines, warehouses, feature stores and event processing. The layer most AI projects stall on. Airflow, dbt, Spark, Kafka, Snowflake, BigQuery.
MLOps Engineers
Model serving, monitoring, drift detection, CI/CD for models and cost control. Kubernetes, MLflow, Docker, Bedrock, Vertex AI, SageMaker.
Computer Vision Engineers
Image and video pipelines, object detection, OCR, segmentation and edge deployment. OpenCV, YOLO, Detectron, ONNX.
Full AI Product Teams
An engineer is rarely enough on its own. Where the work needs it, we supply a product manager, designer, backend engineer and QA alongside the AI specialists.
Model training, fine-tuning, evaluation and deployment. PyTorch, TensorFlow, Hugging Face, scikit-learn. Experience taking models from notebook to serving infrastructure.
LLM application development, RAG pipelines, prompt and context engineering, agent orchestration. Working across OpenAI, Anthropic, Google and open-weight models.
Pipelines, warehouses, feature stores and event processing. The layer most AI projects stall on. Airflow, dbt, Spark, Kafka, Snowflake, BigQuery.
Model serving, monitoring, drift detection, CI/CD for models and cost control. Kubernetes, MLflow, Docker, Bedrock, Vertex AI, SageMaker.
Image and video pipelines, object detection, OCR, segmentation and edge deployment. OpenCV, YOLO, Detectron, ONNX.
An engineer is rarely enough on its own. Where the work needs it, we supply a product manager, designer, backend engineer and QA alongside the AI specialists.
/// HOW HIRING WORKS
How Hiring Works
Requirement call — day 1
We work through the skills, seniority, time-zone overlap and engagement model you need. If we do not have the profile available, we say so on this call rather than three weeks later.
Shortlist — within a week
You receive CVs and profiles for engineers who match the requirement, with their actual project history rather than a generic skills matrix.
You interview
Technical interview on your process, with your team. We do not filter this. If nobody is right, we go back and find more candidates.
Onboard — 2–3 weeks
Contracts, access, NDAs and equipment handled. The engineer joins your standups, your board and your repo. We stay available for escalation without inserting ourselves into your delivery.
///Why Sodio
Why AI Developers Through Sodio
In-house engineers, no subcontracting
Every engineer is a Sodio employee. Most agencies at this price point subcontract and will not tell you. The person you interview is the person who writes the code.
You interview, you decide
We shortlist. You run your own technical process. If the fit is wrong we replace at our cost rather than defending the placement.
Engineers who have shipped AI, not just studied
Our team builds AI products for clients and for our own SaaS, including Letest AI. Engineers arrive having taken models to production, not just through a course.
No recruitment fee or employment risk
No placement fee, no notice-period exposure, no long-term employment commitment. Engagements run on notice and scale up or down as the work changes.
Every engineer is a Sodio employee. Most agencies at this price point subcontract and will not tell you. The person you interview is the person who writes the code.
We shortlist. You run your own technical process. If the fit is wrong we replace at our cost rather than defending the placement.
Our team builds AI products for clients and for our own SaaS, including Letest AI. Engineers arrive having taken models to production, not just through a course.
No placement fee, no notice-period exposure, no long-term employment commitment. Engagements run on notice and scale up or down as the work changes.
/// FAQ
Frequently Asked Questions
For common profiles such as AI/ML engineers, generative AI engineers and data engineers, we typically present shortlisted candidates within a week and can onboard within two to three weeks. Narrower specialisms such as computer vision at the edge or particular domain experience take longer. We tell you the realistic timeline before you commit, rather than after.
They are Sodio engineers. We do not subcontract, and you are not being introduced to a marketplace of freelancers. That matters for continuity, for code quality standards, and because the person you interview is the person who does the work.
Rates depend on seniority, specialism and engagement length, and are quoted per engineer per month. Offshore engagement is materially cheaper than hiring equivalent in-house talent in the UK or US, with no recruitment fee, notice period risk or long-term employment commitment. We provide a written rate card during the first conversation.
Yes, and you should. We shortlist against your requirements, you interview, and you decide. If a candidate is not the right fit we replace them. We would rather run a second round than place someone who does not work out in month two.
Engagements run on a notice period rather than a fixed lock-in. If an engineer is not performing, we replace them at our cost. If the engagement is no longer the right shape, you give notice and we hand over cleanly — documentation, access, knowledge transfer. We would rather end well than hold a client in a contract.
The team is based in Bengaluru, India. For UK clients that means substantial working-day overlap. For US clients we run shifted hours to cover morning Pacific and Eastern time. We agree the overlap requirement before the engagement starts rather than discovering the problem in week two.
/// GET STARTED
Tell Us What You Need to Build
Send us the role, the skills and the time-zone overlap you need. We will come back with a rate card and shortlisted profiles, usually within a week. You interview before anyone joins.
/// LET'S BUILD YOUR TEAM
Tell Us Who You Need
Share the role, skills and team size you need. We'll send you a rate card and shortlisted engineer profiles, usually within a week.