Hire Elite AI Engineers & LLM Developers
Custom generative AI pipelines, RAG systems, autonomous agent swarms, and domain-tuned models.
Overview & Strategic Value
Artificial intelligence is reshaping software capability. BotDigit connects engineering teams with senior AI practitioners who build production-grade AI systems, not just simple wrapper prototypes.
Our AI engineers have proven experience in Retrieval-Augmented Generation (RAG) architectures, multi-agent frameworks (LangGraph, CrewAI, AutoGen), vector database indexing (pgvector, Pinecone, Qdrant), and model quantization.
Protect intellectual property and proprietary training data through strict non-disclosure agreements, private workspace sandboxing, and audited milestone deliverables.
Core Deliverables & Capabilities
Production RAG Architectures
Hybrid search, semantic chunking, re-ranking, and contextual retrieval pipelines over proprietary data.
Autonomous Multi-Agent Swarms
Stateful agent workflows using LangGraph and MCP for research, coding, QA, and operations.
Model Fine-Tuning & Quantization
LoRA/QLoRA adaptation of Llama 3, Mistral, and DeepSeek models on custom enterprise datasets.
AI Voice & Vision Integration
Ultra-low-latency real-time voice agents (Retell, Vapi) and computer vision inference pipelines.
Typical Milestone Escrow Schedule
Funds remain locked in escrow until milestone deliverables pass your acceptance criteria.
Data Ingestion & Embedding Architecture
Document extraction pipelines, chunking benchmarks, vector schema design, and baseline retrieval tests.
Core Agent Logic & Prompt Orchestration
Tool calling implementations, state machines, hallucination guards, and fallback reasoning loops.
Evaluation Framework & Security Hardening
Ragas evaluation scoring, prompt injection defenses, latency optimization, and streaming API endpoints.
Supported Tech Stack & Tools
Frequently Asked Questions
Q: How do you ensure AI projects do not hallucinate critical business data?
Our engineers implement strict evaluation harnesses, deterministic fallback gates, semantic re-ranking, and citation-backed RAG verification.
Q: Can AI developers build MCP servers for our company?
Yes. BotDigit engineers specialize in the Model Context Protocol, enabling your AI agents to safely read context and call software tools.
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