Velspark places Senior AI Engineers directly into your team. They work like your own engineers, in your repos, on your roadmap, against your deadlines, and build scalable-systems designed for long-term reliability.
Tell us what you're building. We'll help you move faster. Talk to us.
Only 2 engineering engagement slots available.
Project inquiries are open — no waitlist.
The Velspark team · Trusted by teams at Carrier and L&T
5.0 rating on ClutchSenior AI and software engineers embedded directly into your workflow. Hire a single specialist, a focused pod, or a dedicated engineering team built around your roadmap.
Designs multi-agent topologies, orchestration layers, and long-horizon planning systems. Owns the end-to-end agent architecture across teams.
Agent frameworks
Orchestration & protocols
LLM platforms
Connects LLMs and agents to enterprise data systems, APIs, and SaaS platforms. Builds reliable tool-use pipelines and data connectors.
Agent & RAG tooling
Enterprise integrations
APIs & protocols
Builds the backend infrastructure that powers agents: memory stores, vector databases, task queues, and stateful session management.
Memory & vector stores
Languages & runtimes
Infrastructure
Owns CI/CD pipelines for agent deployments, cost monitoring, eval-driven releases, and production observability of LLM workloads.
Observability & evals
Deployment
Cloud platforms
Enforces guardrails, prevents prompt injection and data exfiltration, ensures compliance with enterprise AI governance and regulatory frameworks.
Guardrails & safety
Governance & compliance
Security engineering
Builds voice and chat interfaces powered by agents: dialogue management, persona design, context handling, and multimodal pipelines.
Conversation & voice
Frontend & UI
Prompt & persona engineering
You choose the engineers you need — AI engineers, full-stack developers, platform specialists, or a dedicated product pod. They integrate directly into your workflow, codebase, and roadmap, working alongside your team from day one.
Our engineers contribute beyond task execution. They help shape AI workflows and systems from the ground up — defining where AI fits into your product, improving architecture, and building maintainable products designed for long-term ownership.
Flexible monthly engagements. Scale up when needed, scale down when priorities change.
Senior engineers. Embedded seamlessly. Built for long-term ownership.
We've shipped enough of these systems to know what works and what looks good in a pitch. Here's what we actually believe.
Velspark engineers join your tools, your standups, your sprints. They sit inside your team structure and own outcomes, not just deliverables. No status decks. No invoices for thinking.
Agent architecture. LLM integration. Vector infrastructure. Observability. Security and compliance. Every layer, covered. So you don't have to hire six specialists separately and pray they get along.
No six-month discovery phases. We use proven frameworks. LangGraph, AWS AgentCore, Semantic Kernel, CrewAI, and we've already made the expensive mistakes so you won't have to.
Your data lives in Salesforce, SAP, SharePoint, and a 2009 internal portal nobody wants to touch. We connect to all of it. Real integrations. Real security. Real compliance with GDPR, HIPAA, SOC 2, and the EU AI Act.
Most AI projects break at the seams: a prototype that works in a notebook, a model nobody can monitor, an agent nobody can audit. Our engineers own the whole stack, from the first prompt to the production trace.
Multi-agent systems, planning loops, tool use, memory, hand-offs. Built on LangGraph, CrewAI, AutoGen, Semantic Kernel, or AWS AgentCore depending on what fits your stack.
Model selection, prompt engineering, structured outputs, function calling, fallback chains, cost-aware routing across OpenAI, Anthropic, Bedrock, Vertex, and open-weight models.
Vector stores, hybrid search, chunking strategies, re-ranking, long-term agent memory. We pick pgvector, Pinecone, Weaviate, or Qdrant based on your scale, not our preferences.
Ingestion, ETL, embeddings refresh, evaluation datasets. We connect to Salesforce, SAP, ServiceNow, SharePoint, Snowflake, and the messy internal systems no one wants to touch.
Production services around your agents: auth, rate limiting, queues, webhooks, streaming. Python, TypeScript, Go. Whatever your team already runs.
Deployment on AWS, Azure, GCP, or on-prem. CI/CD for prompts and agents, model versioning, canary releases, GPU scheduling, cost controls.
Tracing every agent run with LangSmith, Arize Phoenix, Helicone, or Braintrust. Offline evals, online metrics, regression suites. You see what the agent did and why.
Prompt injection defence, PII redaction, guardrails, audit logs, role-based access. Mapped to OWASP LLM Top 10, SOC 2, HIPAA, GDPR, and EU AI Act requirements.
One pod. One point of accountability. No hand-offs to a "platform team" that doesn't exist yet.
We get asked this a lot, so here it is in one place. The tools, frameworks, and platforms our engineers ship on every day. If you already use it, we already know it.
Agent frameworks
Orchestration
LLM platforms
Memory & retrieval
Enterprise connectors
Observability
Security & compliance
No slideware, no strategy decks. Six concrete things show up in your company by the time we're done.
Every engagement ships working systems into your stack. Code in your repo, agents in your runtime, observability you own.
Models, prompts, evals, and orchestration live in your accounts. No black boxes, no lock-in to ours. You can fire us and keep running.
Architecture decisions, evals, failure modes, and on-call playbooks written down. New engineers ramp in days, not quarters.
We instrument what the agent replaces or accelerates: hours saved, tickets closed, revenue unlocked. Reported monthly.
We pair, review, and teach as we build. By the end of the engagement your team owns the patterns and can ship the next one alone.
If you want, one of our engineers stays embedded as Orbit, keeping the system healthy while your team builds on top of it.
Real founders. Real products. Real users. Here's what happens when you work with a team that actually delivers.
Workflow Automation
Built a configuration-driven Common Workflow framework for eCat, allowing teams across Asia, Europe, and North America to create complex workflow builders without building UI from scratch. Later extended the system with AI Agents that generate workflow templates from Figma designs or screenshots, apply rule-driven behavior, and help designers create test-ready workflow prototypes.
AI Workflow Automation
Built an AI-powered rule authoring platform using React, FastAPI, and a .NET rules engine that allows users to create rule-driven UI behavior using natural language. The system generates rule properties, rule tables, dependencies, and function logic through AI agents, significantly simplifying workflow creation and enabling reusable APIs for other AI-powered workflow-generation systems.
Reporting Systems
Built a reusable JavaScript reporting library using Stimulsoft to generate reports on the client side from cached application data. The system uses S3-hosted templates and mapping files, supports PDF, Word, Excel, Blob, print, and Stimulsoft Viewer output, and exposes both a React component and function APIs for frontend and backend usage.
Still comparing options? Here's how we stack up against the alternatives ↓
We work with engineering leaders, CTOs, and heads of product who have a real codebase, a real roadmap, and a real need for senior AI engineers they can't hire fast enough, whether that's to ship a planned roadmap or to figure out what the AI roadmap should even be.
Treat us as partners, not contractors. Our engineers will challenge a spec, redesign a workflow, push back on a model choice, and sit in the planning meeting before they sit in the repo. Then they ship.
We don't do proofs of concept that go nowhere. We don't write strategy decks for the shelf. We don't sell you a platform.
If you want engineers in your repo by next week, shaping AI workflows and building production systems your team will own, we should talk. If you want a vendor, we'll happily refer you to one.
Velspark stands for velocity and spark— fast execution powered by sharp engineering.
Technology moves quickly. Most teams struggle not because they lack ideas, but because turning those ideas into reliable products takes time, clarity, and experienced engineers.
We work as an extension of your team, building scalable and production-ready systems — from AI products to modern web applications — with clean architecture and maintainable code your team can confidently own long after the engagement ends.
That's the whole pitch. Fast-moving teams need dependable engineering. That's where we fit in.
Send us a short note about what you're shipping and the gap on your team. We'll come back with the right engineers, their availability, and an honest answer on whether we're the right fit. Usually within 24 hours.
No pitch deck. No sales cycle. Just engineers talking to engineers.
Velspark · India · Remote-first · Building since 2023 · connect@velspark.com
