Hire AI Developers
Embed pre-vetted senior Generative AI, RAG & ML developers into your team. 48-hour shortlist, 14-day money-back guarantee.
Why Bliss Technologies for AI Developers
Bliss Technologies matches pre-vetted senior AI and Machine Learning developers from India with startups, agencies, and enterprise clients in the USA, UK, UAE, and Australia. We manage the HR logistics, allowing you to hire engineers who integrate seamlessly into your Git repositories, Slack channels, and JIRA workflows.
Our developers focus on **semantic RAG pipeline integrations** and **event loops optimization**. They build with Python, LangChain, Pinecone, and custom fine-tuning systems to ensure your LLM workloads are secure, low-latency, and token-efficient.
AI Engineering Advantages
RAG & Vector Search Experts
Our engineers configure optimized chunking algorithms, load semantic vector DBs, and implement prompt security rules.
LLM Orchestrators (LangChain)
Vetted to compile state-driven AI agents using LangChain, LangGraph, and automated feedback loop codes.
Serverless AI Deployments
We deploy model pipelines using serverless GPU containers, reducing monthly processing costs while securing zero latency.
AI & Generative ML Capabilities
We build secure, high-performance database architectures and structured API systems using Python and LLMs.
LLM API Integrations
Connect your systems to OpenAI (GPT-4o), Anthropic (Claude 3.5), Llama 3, or Mistral. We build custom API middlewares, manage token budgeting, and write secure system prompts.
RAG & Vector Search Engines
Build Retrieval-Augmented Generation (RAG) pipelines to search company-internal PDFs, sheets, or wikis. Optimized with semantic chunking and vector storage (Pinecone/ChromaDB).
Bespoke AI Chatbots & Agents
Develop autonomous multi-agent systems using LangChain, LangGraph, or CrewAI. Perfect for automated customer support, document analysis, and data mapping.
Custom Data Classification & NLP
Clean, classify, and extract insights from unstructured text logs using Python, spaCy, NLTK, and custom HuggingFace model architectures.
Model Fine-Tuning & Prompt Tuning
Fine-tune open-source models (Llama/Mistral) on your specific domain data or design advanced prompt engineering strategies to improve logic accuracy.
Serverless AI Deployments
Deploy AI/ML endpoints using serverless GPUs (RunPod, Modal, AWS Lambda), configure Docker setups, and scale database pipelines seamlessly.
Our Vetting Process: Securing the Top 3%
We run a multi-stage filtering protocol to ensure you interview only elite, production-ready AI developers.
Resume & Portfolio Screening
Our technical leads screen developers based on active AI/ML repositories, prompt templates, and vector database structures.
Python & Logic Challenge
Candidates undergo a live code challenge evaluating asynchronous execution safety, data parsing, and API request handling.
Live Communication Round
We assess spoken English clarity and how well the candidate explains prompt-design and RAG architecture trade-offs in plain language, not just code.
Technical Review with Tech Lead
A 1-hour live coding review detailing RAG chunking logic, LLM caching setups, system prompts, and serverless GPU scale.
Paid Trial Sprint on Your Codebase
The developer ships a real pipeline or feature for two weeks. If output quality or velocity falls short, you get a full refund, no questions asked.
Vetted Developers Snapshot
These are profiles of senior AI developers currently ready to onboard inside your team under a 14-day refund guarantee.
Vikram S.
Senior AI/ML Developer · 6+ Years Experience
Specializes in building secure RAG database systems, vector search pipelines, and automated text extractors. Vetted for USA client timezone overlap.
Neha K.
Senior Generative AI Architect · 5+ Years Experience
Expert in fine-tuning open-source models, multi-agent support workflows, and semantic search interfaces. Fluent in English and highly collaborative.
Anand M.
AI & Data Pipeline Lead · 7+ Years Experience
Expert in setting up serverless GPU pipelines, automated text classification, and embedding model comparisons. Vetted for clean, secure code.
Flexible Engagement Models
Choose how to contract our pre-vetted AI talent based on your system goals.
Dedicated Full-Time
40 Hours/WeekA senior AI engineer dedicated exclusively to your systems. They align with your daily schedules, Slack channels, Git repositories, and participate in daily stand-ups.
- Aligned with your local timezone
- Direct tool integrations & access
- Weekly output timesheet reports
- Ideal for scaling product roadmaps
Staff Augmentation
20 Hours/WeekPlug-in specific AI/ML gaps on a part-time basis. Perfect for RAG setups, embedding pipeline configurations, or custom chatbot features.
- Flexible sprint schedules
- Pivot requirements monthly
- Access senior tech leads
- Ideal for minor support scopes
Dedicated Scrum Pod
Complete Pod TeamsScale with a cross-functional squad: 1 Project Manager + 2 AI Developers + 1 Frontend React Developer + 1 QA Specialist. We manage the delivery timeline.
- Managed by an expert PM
- Continuous QA integration
- Fully scalable squad sizes
- Ideal for rapid MVP launches
Onboard in 4 Simple Steps
Hire, integrate, and scale developers seamlessly with zero administrative overhead.
Share Your AI Use Case
Tell us your LLM provider preference, data sources, and whether you need RAG, agents, or fine-tuning. Our leads scope the right AI profile.
Meet Your Shortlist
Review 2–3 matched AI/ML engineers within 48 hours. Run live interviews focused on prompt design and vector database architecture.
Start the 14-Day Trial Sprint
Kick off with a real pipeline build. Your first invoice stays protected under our 14-day money-back guarantee the entire time.
Merge Into Your Repo
The developer joins your Git repositories, model registry, and Slack. Scale to a second engineer as usage grows.
Trusted by Global Product Teams
“We needed an AI assistant to analyze complex soil analysis files and suggest treatments. Bliss matched us with an AI developer who set up a LangChain RAG pipeline on AWS. The semantic search is extremely accurate and reliable.”
Oliver Sterling
Lead Product Architect, AgriTech USA
“We wanted a multi-agent customer support bot that could handle booking cancellations. The AI developer Bliss provided configured LangGraph states connected to our DB. Bot handoff is smooth and customer satisfaction is high.”
Sameer Khan
Founder, RetailAI UAE
Common Questions
Still unsure? Just message us on WhatsApp — most questions are answered in one quick conversation.
WhatsApp UsHire Senior AI Developers
Fill in your hiring requirements below, and we will shortlist pre-vetted AI and Machine Learning developers within 48 hours.