3
AI Products Built In-House
Pranthora, MedEntry MAI, Satark AI
HIRE AI ENGINEERS - INDIA
Hire AI Engineers Who BuildProduction AI
Build production-ready AI products with experienced engineers who understand LLMs, RAG, AI agents, enterprise integrations, and modern AI architectures. Whether you need one engineer or a complete AI delivery team, we help you move faster without compromising quality.
Dedicated AI EngineersProduction AILLMs & RAGAI Agents
30K+
Students Using MedEntry MAI
Live in production across 4 countries
10+
Languages Supported
Pranthora Voice AI
POC
Satark AI Ready
Security compliance automation - in development
Real AI Products, Not Demos
AI products we've built end-to-end - from architecture through to shipping, at every stage from live production to active development
Pranthora
Multilingual Voice AI - Sub-Second Latency, 10+ Languages
Production voice AI agent handling real-time conversations. Speech-to-text, fast LLM inference, natural text-to-speech - end-to-end in under one second.
10+
Languages supported
<1s
End-to-end latency
24/7
Inbound + outbound
OpenAI WhisperGroq + Llama 3.1ElevenLabsRetell AILangChain
The hardest category of AI to build reliably - STT + LLM + TTS + conversation management in real time.
MedEntry MAI
Curriculum-Trained RAG - 30,000+ Students Across 4 Countries
RAG-based AI study assistant integrated into Australia's leading UCAT exam prep platform. Trained on the full curriculum - not generic AI.
30K+
Students in production
4
Countries served
0
Hallucination tolerance
GPT-4oOpenAI EmbeddingspgvectorLangChainFastAPI
Production RAG - ingestion, chunking, embedding, hybrid retrieval, reranking, source citation - for a domain-specific knowledge base.
Satark AI
AI-Powered Security Compliance Automation - In Development, POC Ready
A stateful LangGraph agent automating cyber-compliance workflows for security teams. Claude 3.5 for long-context regulatory analysis, generating structured, audit-ready gap reports. Currently in active development with a working proof-of-concept.
POC
Proof-of-concept validated
200K
Token context (Claude)
Multi
Step agent workflows
Claude 3.5 SonnetLangGraphCustom RAGPydanticAIFastAPI
AI agent engineering - stateful workflows, long-context document processing, structured output for compliance-critical applications.
Why Dedicated AI Engineers
Demo AI vs production AI - the gap is engineering; production systems need discipline most teams only learn when something breaks at scale
Non-Determinism Management
DEMO
Same prompt → works in demo
PROD
Structured output validation, confidence scoring, fallback handling
Context Window Economics
DEMO
Full context every request
PROD
Semantic caching, compression, multi-model routing - 30-60% cost reduction
Retrieval Quality Engineering
DEMO
"It seemed to work in testing"
PROD
precision@K, recall@K, MRR - measured retrieval quality with RAGAS
Latency Profiling
DEMO
Slow? Just use GPT-4o
PROD
Profile every step. Cache. Use Groq for voice. Async for batch tasks.
Safety and Trust
DEMO
Output looks reasonable
PROD
Output validation, confidence escalation, source citation, content filtering
Cost Architecture
DEMO
Budget not considered
PROD
Per-request token logging, budget alerts, model routing by cost ceiling
AI Engineering Services
What You Can Hire an AI Engineer For
AI Automation - Workflows, Agents, Event-Driven Processing
LLM-powered workflow automation, no-code AI with n8n/Make.com, and stateful AI agents with LangGraph and Composio tool integration for 250+ business tools.
What we deliver
- LangGraph agents - multi-step stateful workflows with human-in-the-loop
- Composio - AI agents with managed access to GitHub, Salesforce, Notion, Jira
- n8n / Make.com - AI classification and generation within automation flows
- Async AI queues - BullMQ/Celery for document processing at scale
What We Build
AI Projects Our Engineers Build
AI Copilots
RAG
AI Search
AI Agents
Voice AI
AI Automation
Knowledge Assistants
Recommendation Engines
Document AI
Who This Is For
Who Should Hire Our AI Engineers
AI Startups
Need to build MVP.
SaaS Companies
Adding AI features.
Enterprise Teams
Need AI expertise.
Digital Agencies
Need white-label AI development.
Product Companies
Need dedicated AI team.
Why Infynno
Why Product Teams Choose Infynno for AI Engineering
Built AI End-to-End, Not Just Prototypes
Pranthora, MedEntry MAI, and Satark AI - hands-on experience carrying AI systems from architecture through production hardening, not just demos that work once.
Full AI Stack Coverage
LLM · RAG · Voice AI · Automation · Generative AI · Agents - complete modern AI stack, not a single specialization.
Model-Agnostic, Cost-Aware
No commercial relationship with any provider. We recommend OpenAI, Claude, Groq, or Ollama based on your use case and budget.
Production Engineering Discipline
Semantic caching, multi-model routing, output validation, RAG evaluation, observability - production discipline, not AI enthusiasm.
AI + Full Stack
AI engineers work alongside our Laravel, Node.js, React, and Next.js teams - AI built into your architecture cleanly.
Direct Communication
Your AI engineer in your Slack, your standups, your architecture reviews. No relay chain. No lost context.
AI Stack
The full production AI stack we work with - from LLM providers and vector databases to voice AI and observability
LLM Providers
OpenAI GPT-4oClaude 3.5 Sonnet
Groq (Llama / Mixtral)Ollama (on-premise)DeepInfra · Together AI
AI Orchestration
LangChainLangGraph
LlamaIndexPydanticAIOpenAI Agents SDK
Vector Databases
pgvector
WeaviateQdrantChromaPinecone
Embedding Models
text-embedding-3
BGE-M3E5-largeJina EmbeddingsPubMedBERT (medical)
Voice AI
OpenAI WhisperElevenLabs
Retell AIDeepgramLiveKit · Twilio
Document Processing
Unstructured.io
PyMuPDFDoclingApache Tika
AI Backend
FastAPI (Python)
NestJS (Node.js)BullMQ + RedisAWS LambdaCelery + Redis
Observability
LangSmith
HeliconeRAGAS (eval)PostHog · Sentry
⭐ = our primary recommendation for production AI systems
Engineer Profiles
AI engineers ready to hire - mid-level (2-4 yrs) or senior (4+ yrs), matched to your complexity and production requirements
Mid-Level AI Engineer
2-4 Years AI
LLM Integration (OpenAI API)88%
RAG + pgvector / Chroma84%
LangChain chains + retrievers82%
FastAPI + async Python85%
Best for
LLM feature integrationRAG chatbot buildsSemantic searchAI automationSupporting senior AI work
Senior AI Engineer
4+ Years AI
LangGraph stateful agents95%
Advanced RAG + evaluation94%
Voice AI (Whisper/Groq/ElevenLabs)91%
Production AI cost + observability93%
Best for
Greenfield AI architectureVoice AI agentsProduction RAG pipelinesEnterprise AI integrationTech leadership
Engagement Models
Three ways to work with our AI engineers
Choose the model that fits your project stage - switch any time as your needs evolve.
Dedicated Hiring
Your own AI-powered engineering team
Full-TimePart-TimeHourly
You need a product-focused team that works as an extension of your company, not just a delivery vendor. A dedicated squad of developers, QA, and project lead collaborates closely with your team, owns delivery end-to-end, and adapts as requirements evolve.
Best for
Evolving requirementsOngoing product buildLong-term partnerships
Most popular
Fixed Cost
Clear scope, agreed price, zero surprises
Outcome-basedIdeal for projects with clearly defined requirements, timelines, and budgets. We scope, price, and deliver against a fixed specification, ensuring predictable costs and transparent milestone-based execution.
Best for
Defined specificationsStructured requirementsBudget-sensitive projects
Time & Material
Build feature by feature, pay as you go
Sprint-based billingPerfect for evolving products where priorities change based on user feedback and business needs. We deliver in focused sprints, giving you the flexibility to refine the roadmap while maintaining full visibility into progress and costs.
Best for
Iterative developmentPhased roadmapsFeature-led development
Not sure which model fits? Most clients start with a 30-minute discovery call - we'll tell you honestly what we'd recommend and why.
Book a free callThe Hiring Process
From conversation to code - in 5-7 days
- AI Consultation
- NDA Signed
- AI Consultation
- NDA Signed
- AI Engineer Matched
- Interview (Optional)
- 1-Week Trial
- Engagement Begins
Step 01
AI Consultation
We understand your use case, existing stack, and data. Plus: an honest assessment of whether your AI feature is production-viable as scoped.
1 / 6
FAQ
Frequently Asked Questions
A data scientist focuses on data analysis and ML model training. An ML engineer deploys and scales trained models. An AI engineer builds applications that use AI - integrating LLMs, building RAG pipelines, engineering chatbots and agents, and adding generative AI features to production software. Infynno's AI engineers are the third type: production application builders who use AI as a core technology.
LangChain and LlamaIndex for RAG and orchestration, LangGraph for stateful agent workflows, PydanticAI for type-safe agents, Composio for agent tool integration, FastAPI (Python) and NestJS (Node.js) for AI API serving, and Retell AI + ElevenLabs + Whisper for voice AI. LLM providers: OpenAI, Anthropic Claude, Groq, and Ollama for on-premise.
Yes. RAG chatbot development is a core service. Infynno builds RAG systems with document ingestion (Unstructured.io), chunking, embedding, vector storage (pgvector, Weaviate, Qdrant), hybrid retrieval, cross-encoder reranking, LLM generation with source citation, semantic caching, and production monitoring - trained on your specific content, not generic AI knowledge.
Yes. Infynno built Pranthora - a production multilingual voice AI agent in 10+ languages with sub-second latency. Our voice AI stack includes OpenAI Whisper (STT), Groq + Llama (fast LLM inference), ElevenLabs (TTS), and Retell AI (conversation management and telephony).
Semantic caching reduces API calls by 30-60%. Multi-model routing sends simple tasks to cheaper models. Async batch processing groups non-urgent calls. Per-request token logging with budget alerting. Cost architecture is designed at the start of every AI engagement, not as an afterthought.
Yes. AI is added via API-based integration - connecting to existing data, appearing in existing UI, extending existing functionality without modifying core application code. Standard approach for EdTech platforms, CRM systems, e-commerce platforms, and enterprise portals.
Yes. Three production AI products: Pranthora (multilingual voice AI, 10+ languages, sub-second latency), MedEntry MAI (RAG study assistant, 30,000+ students across 4 countries), and Satark AI (AI CISO compliance agent, 500+ security leaders on waitlist, Claude-powered regulatory analysis).
Production AI · 1-Week Free Trial · NDA First
Ready to Hire a Dedicated AI Engineer?
Free AI consultation - we'll understand your use case, assess production viability, and match you with the right engineer. NDA before we go further.
AI AutomationBusiness AI IntegrationAI Strategy & ConsultingVibe Code ReviewArchitecture & FoundationVoice AI