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.

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langGraph
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LangChain developer at work

LangChain Development, Accelerated with AI

Systematic Prompt Engineering

AI assisted prompt optimization with A/B testing, evaluation datasets and regression tracking, so your prompts improve over time instead of degrading with model updates.

Automated Evaluation Pipelines

Evaluation runs in LangSmith check your chains and agents against datasets from your own domain, so accuracy drops and hallucinations show up in review instead of in front of users.

Production Observability

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

Cost Efficient Architecture

AI analyzes usage patterns to recommend caching, model routing (a stronger model for hard tasks, a cheaper one for simple ones) and batching that reduce LLM costs.

The whole Unico Connect team uses Claude Code daily. Our engineering leads estimate that roughly 80 percent of our production code is AI generated. Engineers are expected to understand the code AI produces, and a tech lead or senior developer reviews it before it ships.

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 OpenAI, Anthropic 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

Our hiring process has three stages, from the application screen to a project deep dive with background verification, and every new engineer then serves a probation period.

4 checks
Application screen

We source engineers across India through LinkedIn, Wellfound, employee referrals and outbound headhunting. Every application is checked for stack relevance, years of experience, English and time zone overlap before it moves to a technical interview.

60 to 90 min
Live coding and scenario questions

A live coding round of 60 to 90 minutes in the primary technology of the candidate, followed by scenario based questions on practical applications of that technology.

3 checks
Project deep dive and background verification

Candidates walk us through a recent production project, covering the architecture decisions and what they would change in hindsight. A third party background verification agency then confirms prior employment, education and identity.

Probation
A probation period follows

New engineers then serve a probation period, and those who do not meet our bar do not continue with us.

How It Works

From the first call to a developer working in your team, you choose who joins and when.

Share your requirements

Tell us the experience level, tech stack, project scope and team setup you need. A 30 minute call is usually enough.

Review shortlisted profiles

Vetted candidates are presented within a week, matched to the brief you shared.

Interview your picks

Interview shortlisted developers directly, through technical interviews, pair programming or whatever your process requires.

Onboard and start

Your developer joins your tools and standups, and onboarding completes in 7 to 14 business days.

Engagement Models

engagement-1

Dedicated Developer

A LangChain developer works exclusively on your project, integrated with the tools and workflows your team already uses.

Best for Ongoing LangChain pipeline work and eval iteration
Book a Consultation
engagement-2

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
engagement-3

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

Engagement terms

  • Vetted candidates are presented within a week, and onboarding completes in 7 to 14 business days.
  • Your developer works as an extension of your team, directly in your channels.
  • For international clients, the assigned team aims for at least 4 hours of overlap with your business day, and our night shift team can cover your business hours for support.
  • Our replacement guarantee gives you a replacement vetted developer at no extra fee if the placed developer is not the right fit or underperforms.
  • We offer fixed scope for proofs of concept and MVPs, then move to a retainer for ongoing work, so the engagement can scale with you.
  • Retainers run for at least 3 months, then continue month to month with 30 days notice.
  • AI and ML roles run $30 to $60 an hour depending on seniority, and fixed scope projects have a $10,000 minimum.
  • We invoice in USD, euros or INR.
  • We sign a mutual NDA before discovery starts, and IP assignment and all other contract terms are set out in the MSA and SOW you sign when the engagement begins.

PRICING

Transparent LangChain developer rates, published

$30 to $60 per hour

Dedicated LangChain developers, by seniority

$10,000 minimum

Fixed scope projects

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

unico-connect
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 education, healthcare, legal and enterprise contexts
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
unico-connect
Conversational AI

Conversational AI that lets users query their marketplace data in natural language and receive answers with the supporting numbers.

Built a conversational AI layer to translate natural language into data queries.
Aggregated Amazon, Shopify and other marketplace data into one normalized model.
Let operators get answers without waiting for an analyst or writing SQL.

50%

Faster data to insight pipeline

-30%

Stockouts across brands

+25%

Pricing accuracy

View Case Study
queryAI-stack-1
unico-connect
Agents / Customer Ops🌐 Multi-region

Automated about 75 percent of ticket classification with agentic triage

AI triage agents with LLM classifiers tuned to the client taxonomy
About 75 percent of inbound tickets auto classified
Routed by taxonomy without manual triage
Human escalation on low confidence cases

~75%

Tickets auto classified

Auto

Routing when confidence is high

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

Share the LangChain work you need on a first call, and we shortlist vetted LangChain developers who match it for you to interview. Vetted candidates are presented within a week, and onboarding completes in 7 to 14 business days. To speed up the match, tell us whether the product is already in production, the problems you face and what has been tried, the work needed and any regulation or process it must follow, and the features or bugs to fix, so we can match the experience the work needs.

LangChain & RAG Insights

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