Unico Connect

Hire LangChain Developers Who Build Production-Grade AI Applications

Our LangChain developers build AI agents, retrieval-augmented generation systems, and LLM-powered workflows that work reliably in production. Not just prompts wrapped in an API call, but engineered systems with evaluation, monitoring, and fallbacks.

LangChain developer at work

LangChain Development, Accelerated with AI

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Systematic Prompt Engineering

AI-assisted prompt optimization with A/B testing, evaluation datasets, and regression tracking ensures your prompts improve over time rather than degrading with model updates.

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Automated Evaluation Pipelines

LangSmith-powered evaluation frameworks test your chains and agents against domain-specific benchmarks, catching accuracy drops and hallucinations before users do.

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Production Observability

End-to-end tracing of every LLM call, retrieval step, and agent action. Token usage tracking, latency monitoring, and error alerting for reliable production systems.

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Cost-Efficient Architecture

AI analyzes usage patterns to recommend caching strategies, model routing (expensive vs. cheap models by task), and batching approaches that reduce LLM costs by 40-60%.

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Every engineer at Unico Connect uses AI as a core part of their engineering workflow. This is not about replacing developers with AI. It is about making experienced developers significantly more productive.

What Our LangChain Developers Build

AI Agent Development

Multi-step agents using LangGraph that reason, use tools, and complete complex tasks autonomously. Customer support, research, and workflow automation agents.

RAG Systems

Retrieval-augmented generation with vector databases. Domain-specific Q&A, document analysis, and knowledge management systems grounded in your data.

LLM-Powered Workflows

Automated content generation, document processing, classification, and extraction pipelines using chained LLM calls with structured outputs.

Multi-Model Orchestration

Systems that route between GPT-4, Claude, and open-source models based on task complexity, cost, and latency requirements.

Conversational AI

Context-aware chatbots and conversational interfaces with memory, tool access, and domain knowledge for customer-facing and internal applications.

LangChain Migration & Optimization

Migrate existing LLM applications to LangChain, optimize underperforming chains, and add evaluation and monitoring to production systems.

VETTING PIPELINE

How engineers earn a spot on our team

Every engineer goes through the same four-stage funnel. Most do not make it past stage two.

30,000+
Applications received each year

Around 15 open roles at any time, each receiving roughly 200 applications per month through LinkedIn, AngelList, employee referrals, and outbound headhunting across India. India produces 1.5 million CS graduates a year, so sourcing is not the moat. Filtering is. Most applications are auto-filtered for stack relevance, years of experience, English, and time-zone overlap before any human reviews them.

5%
Pass live coding + system design

Two-stage technical interview: a 90-minute live coding exercise tailored to the candidate's primary stack, then a system-design discussion grounded in real production scenarios.

2%
Pass project deep-dive + background verification

We ask candidates to walk through a recent production project: architecture decisions, what they would change in hindsight. We also run a background verification check through a third-party BGV agency to confirm prior employment, education, and identity.

1.2%
Complete 2-week shadow onboarding

A senior Unico Connect engineer shadows new hires for two weeks on an internal project. We watch how they respond to feedback, ask for help, and ship code. Fast learners stay.

<1%
of applicants join the active team

A dedicated team of engineers makes up the active Unico Connect team at any given time across all stacks. New roles open as engagements complete or grow.

How It Works

From first conversation to a developer shipping code on your project, the process is designed to be fast, transparent, and low-risk.

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Engagement Models

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Dedicated Developer

A LangChain Developer works exclusively on your project, integrated with your team's tools and workflows.

Best for: Ongoing LangChain pipeline work and eval iteration
Book a Consultation
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Managed Team

We assemble and manage a LangChain team with a tech lead, handling delivery end-to-end against your requirements.

Best for: Building agent and RAG systems end-to-end with a lead
Book a Consultation
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Project-Based

Fixed scope, timeline, and budget. We deliver the project and hand off the codebase with documentation.

Best for: AI proofs of concept, RAG pipelines, agent build sprints
Book a Consultation
Start within a weekFlexible scale-up / scale-downNo long-term lock-inDedicated technical lead

PRICING

Transparent LangChain developer rates, published

$30 to $60 per hour

Dedicated LangChain developers, by seniority

From $10,000

Focused builds, fixed scope

US specialists typically bill $150 to $300 per hour for comparable scope. Every engagement is scoped individually before any number becomes a quote.

See all engagement models and hire pricing

Our Work

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Document AI / RAG🌐 Multi-region

Turned unstructured documents into structured data at about 85 percent extraction accuracy

Retrieval pipelines grounded in the source corpus
About 85 percent extraction accuracy, tuned per corpus
Source referenced answers across regulated domains
Validation before extracted data is trusted downstream

~85%

Extraction accuracy

Grounded

Source referenced

RAG

Retrieval pipelines

View Case Study
AI document intelligence
AI document intelligence
AI document intelligence
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Conversational AI

Conversational AI that lets users query structured or unstructured data in natural language and receive contextual insights.

Built a conversational AI layer to translate natural language into data queries.
Connected multiple databases, tables, and BI tools for unified insights.
Delivered answers through summaries, tables, and visual dashboards.

85% 

Faster Data Retrieval

50%

Reduction in Analyst Dependency

40%

Increase in Decision-Making Speed

View Case Study
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Agents / Customer Ops🌐 Multi-region

Automated about 75 percent of ticket classification with agentic triage

AI triage agents built on agentic orchestration patterns
About 75 percent of inbound tickets auto classified
Routed by taxonomy without manual triage
Human escalation on low confidence cases

~75%

Tickets auto classified

Agentic

Orchestrated triage

Human

Edge case escalation

View Case Study
AI ticket classification
AI ticket classification
AI ticket classification

AI Applications That Work, Not Just Demo

Talk to an Expert

Frequently Asked Questions

Our LangChain developer rates run $30 to $60 per hour depending on seniority, and focused fixed scope builds typically start around $10,000. US specialists bill $150 to $300 per hour for comparable work. Most clients choose a monthly dedicated model with a 30 day notice period and no long term lock in.

LangChain & RAG Insights

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