Build teams that accelerate enterprise execution

With OptiSol, extend your engineering capability with proven talent across AI and enterprise systems, aligned to your workflows and outcomes.

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Access specialized engineering expertise across your stack

From AI to cloud and modernization, build teams aligned to enterprise priorities.

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GenAI
Engineers

RAG pipelines, LLM integrations, fine-tuning, vector databases, and prompt engineering with OpenAI, Claude, Gemini, LangChain, LlamaIndex.

Best for

AI product teams | FinTech | RegTech | SaaS

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Agentic
AI Engineers

Multi-agent systems with LangGraph, CrewAI, MCP, A2A orchestration, production guardrails, and evaluation loops.

Best for

Agentic AI startups | Enterprise | Automation | Compliance

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AI / ML & Computer Vision

End-to-end ML across forecasting, NLP, object detection, segmentation, and defect detection — PyTorch, TensorFlow, ONNX, TensorRT, Triton, OpenCV.

Best for

Manufacturing QA | Healthcare imaging | Retail | Logistics

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AI Platform &
MLOps

Production AI infrastructure: MLOps, LLM observability, guardrails, token and cost tracking, experiment management.

Best for

AI-first companies | Regulated FinTech | Healthcare AI

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Legacy Modernization

Oracle Forms, Oracle Reports, COBOL, PL/SQL, PowerBuilder — accelerated with iBEAM into React, .NET, Java, and cloud-native stacks.

Best for

Financial Services | Insurance | Government | ERP-heavy

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Full-Stack &
Backend

React/TypeScript, Python/FastAPI/Node.js, microservices, event-driven architecture, API gateways, distributed systems — AI-integrated.

Best for

Product startups | SaaS | FinTech | Digital Transformation

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Cloud, DevOps & Platform

AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, and internal developer platform design.

Best for

Scale-ups | Enterprise cloud migration | Regulated industries

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Data &
Analytics

Scalable data pipelines, Snowflake, Databricks, dbt, Lakehouse architecture, and real-time analytics.

Best for

Retail | Healthcare | Financial Services | Environmental Services

Work with engineers experienced in the platforms, frameworks, and tools supporting production systems

Languages &
Frameworks
GenAI &
Agentic
ML &
MLOps
Cloud &
Infrastructure
Data & Vector
Stores
OptiSol
Accelerators

Proven engineering experience across industries

Engineers with proven exposure to domain workflows, systems, and compliance requirements across various sectors.

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Manufacturing

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Healthcare

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Financial Services & FinTech

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Construction & Engineering

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Environmental Services & Logistics

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Retail

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Chemical & Life Sciences

Remove barriers to enterprise AI and engineering execution

Address hiring timelines, domain alignment, legacy constraints, and delivery continuity through a structured engagement model.

Move from requirement to execution with clarity

A structured approach to onboard engineers and begin delivery within your sprint cycles.

01

Share your txt
brief

Tell us the stack, seniority, and start date in under fifteen minutes.

02

Receive matched txt
profiles in 48 hours

Two or three engineers matched to your brief, with confirmed availability and project history.

03

Run your own txt
technical interview

Apply your process, your bar, and your evaluation criteria, the same as any permanent hire.

05

Agree commercial txt
terms

Transparent day rates from £120, a clear SOW, flexible engagement length, and no hidden markup.

06

Start shipping from day one

Your engineer joins your Slack, attends standups, and contributes to the sprint immediately.

Trusted by leading enterprises

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Our clients success stories

The questions engineering leaders ask us most often

Straight answers on ramp-up time, vetting, replacements, and how the engagement model works.

Is this staffing, consulting, or something else entirely?

Neither. Engineers embed as a dedicated team extension working your hours and your sprints.

Do your AI engineers handle regulated production environments?

Yes. Production AI in FinTech compliance, healthcare, manufacturing QA, and construction safety.

Can your engineers do agentic AI production work?

Yes. Live experience in LangGraph, CrewAI, RAG, agentic workflows, LLMOps, and evaluation frameworks.

What if the engineer isn't the right fit?

We replace, no argument, no extra cost, within a two-week risk-free trial window.

Do you handle legacy modernisation alongside AI engineering?

Yes. Oracle Forms, PL/SQL, and databases via iBEAM, with the AI layer on top.

How quickly can engineers start working with us?

Most engagements start within five to ten business days of agreeing commercial terms.

Will engineers participate in our technical assessment process?

Yes. They are open to whatever evaluation process you would run for any permanent hire.

Where are your engineers based, and what timezone?

Chennai, Madurai, and Coimbatore, with full UK overlap and significant overlap with US business hours.

Who manages communication and coordination on your side?

An onsite or near-shore account manager handles communication, tracking, and engineering leadership coordination.

How do we get started?

Book a 30-minute discovery call with our Microsoft practice team. We will assess your current environment, identify the highest-impact starting point, and propose a structured engagement model — whether that is a modernization sprint, a Fabric data platform build, or an AI agent pilot.

Partner with OptiSol to build and scale your enterprise GCC

Schedule a strategic consultation with our GCC leadership team. Receive a tailored operating model, talent strategy, and 12-month implementation roadmap aligned to your enterprise objectives.

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