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

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.
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.
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.
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.
Multi-step agents using LangGraph that reason, use tools, and complete complex tasks autonomously. Customer support, research, and workflow automation agents.
Retrieval-augmented generation with vector databases. Domain-specific Q&A, document analysis, and knowledge management systems grounded in your data.
Automated content generation, document processing, classification, and extraction pipelines using chained LLM calls with structured outputs.
Systems that route between OpenAI, Anthropic Claude, and open source models based on task complexity, cost, and latency requirements.
Context-aware chatbots and conversational interfaces with memory, tool access, and domain knowledge for customer-facing and internal applications.
Migrate existing LLM applications to LangChain, optimize underperforming chains, and add evaluation and monitoring to production systems.
VETTING PIPELINE
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.
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.
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.
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.
New engineers then serve a probation period, and those who do not meet our bar do not continue with us.
From the first call to a developer working in your team, you choose who joins and when.
Tell us the experience level, tech stack, project scope and team setup you need. A 30 minute call is usually enough.
Vetted candidates are presented within a week, matched to the brief you shared.
Interview shortlisted developers directly, through technical interviews, pair programming or whatever your process requires.
Your developer joins your tools and standups, and onboarding completes in 7 to 14 business days.

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

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

Fixed scope, timeline, and budget. We deliver the project and hand off the codebase with documentation.
Engagement terms
Read how our engagements work for the detail behind each term.
PRICING
$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~85%
Extraction accuracy
Grounded
Source referenced
RAG
Retrieval pipelines
50%
Faster data to insight pipeline
-30%
Stockouts across brands
+25%
Pricing accuracy
~75%
Tickets auto classified
Auto
Routing when confidence is high
Human
Edge case escalation
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.
Beyond dedicated developers, our teams deliver complete products and platforms.
Autonomous agents with tool use, MCP servers, and human in the loop checkpoints.
ExploreAutomate document processing, support triage, and workflows with agentic AI, RAG, and human in the loop.
ExplorePlug AI into existing products with semantic search, document AI, and AI powered analytics.
ExploreTell us about your project. We will get back to you within one business day.
Prefer to book directly?
🗓️ Schedule on Calendly →Or email us:
✉️sales@unicoconnect.com