Hire AI Engineers Who
Ship, Not Just Talk
Our AI engineers have built and deployed 50+ production AI systems — from LLM applications and RAG pipelines to computer vision and MLOps platforms. Hire dedicated engineers or augment your team on your terms — starting within 1–2 weeks.
Roles We Can Fill
End-to-end capability — from strategy and build to integration, monitoring, and ongoing support.
ML / AI Engineers
Senior ML engineers proficient in PyTorch, TensorFlow, scikit-learn, and cloud ML platforms — with experience shipping predictive models, recommender systems, and computer vision to production.
LLM Application Developers
Engineers specialising in LangChain, LlamaIndex, LangGraph, and direct OpenAI/Anthropic API integration — building RAG pipelines, AI agents, and LLM-powered applications.
MLOps Engineers
MLOps specialists building CI/CD for ML, feature stores, model registries, and automated retraining pipelines on AWS, GCP, Azure, and Kubernetes.
Computer Vision Engineers
Vision engineers proficient in PyTorch, OpenCV, YOLO, and TensorRT — with edge deployment experience on NVIDIA Jetson and embedded hardware.
NLP Engineers
NLP specialists working with BERT, spaCy, Hugging Face Transformers, and LLMs — for text classification, NER, summarisation, and multilingual AI pipelines.
AI Solutions Architects
Senior architects who design end-to-end AI systems — model selection, data architecture, serving infrastructure, and integration patterns — for enterprise AI roadmaps.
Our Engagement Process
A disciplined, outcome-focused approach from first call to go-live.
- 1
Requirements Gathering
Define the engineer profile — skills, seniority, domain expertise, and engagement model (full-time, part-time, or project-based).
- 2
Candidate Shortlisting
We shortlist 2–3 pre-vetted engineers matching your requirements — with CVs, portfolio work, and technical assessment results.
- 3
Technical Interview
You interview shortlisted candidates — technical round + culture fit. We handle coordination and provide interview guides if needed.
- 4
Onboarding & NDA
Engineer joins your team — NDA signed, IP agreements in place, systems access provisioned. Typical onboarding: 3–5 days.
- 5
Ongoing Management
Engineers integrate into your team fully. Andolasoft provides monthly check-ins, HR support, and a replacement guarantee.
Tools & Frameworks We Master
A production-tested, vendor-agnostic stack built for enterprise security and compliance requirements.
ML & AI Skills
LLM & GenAI Skills
MLOps Skills
Cloud Platforms
Use Cases by Industry
Production AI systems we have built across regulated, data-heavy industries.
ML Team Augmentation
3 ML engineers embedded in fintech team for 12 months — built and shipped fraud detection, credit scoring, and transaction anomaly models to production.
LLM Engineer Placement
Senior LLM engineer hired for 6-month RAG pipeline project — HIPAA-compliant clinical document intelligence deployed across 3 hospital networks.
MLOps Engineer Augmentation
MLOps engineer embedded for 8 months — built CI/CD for ML, feature store, and monitoring platform managing 6 production models.
AI Architect Engagement
AI solutions architect engaged for 4-month GenAI product roadmap — designed LLM architecture, selected tech stack, and led initial implementation sprint.
Computer Vision Team
2 CV engineers placed for 9-month edge AI project — deployed YOLO-based defect detection on 12 production lines across 3 factories.
Full AI Team Build
Helped Series A startup build their first AI team — hired 1 AI architect + 2 ML engineers, delivered first production model in 10 weeks.
What Teams Say After Shipping with Us
Real results from teams who needed engineers to ship in production, not just in a demo.
AndolaSoft has been a valued partner providing excellent customer service. Issues with clients or troubleshooting are handled in a timely manner and positive resolution is always the outcome.
I got a recommendation on AndolaSoft. They are more than half the cost, they have a can-do attitude, and they are responsive, timely, and easy to work with.
Andolasoft team is very hardworking, dedicated and professional that follows through with their goals. The technical leadership is also a superior value to any other developers.
Frequently Asked Questions
We provide ML engineers, LLM application developers, MLOps engineers, computer vision engineers, NLP engineers, data scientists, data engineers, and AI solutions architects — matched to your specific technical requirements and seniority needs.
Ready to Hire AI Engineers?
Tell us the skills, seniority, and domain expertise you need. We will shortlist pre-vetted candidates within 48 hours.