Dedicated AI Engineers
for Your Team
AI engineers and managed pods that integrate with your team. Free one-week trial, start within a week, no long-term contracts.
What Our Engineers Work On
From prototypes to production — AI engineers across the stack.
AI Product Features
Copilots, intelligent search, assistants, and AI-driven workflows. Prompt engineering, model selection, and end-to-end integration.
RAG & Knowledge Systems
Embedding pipelines, vector search, hybrid retrieval, and reranking. Connect language models to documents, databases, and operational data.
AI Agents & Automation
Autonomous agents for operations, support, and customer-facing processes. Multi-agent orchestration, tool use, human-in-the-loop controls, and production reliability.
Voice & Conversational AI
Voice agents, multilingual assistants, and real-time conversational systems. Speech-to-text, text-to-speech, dialogue management, and latency optimization for production voice systems.
AI Evaluation & Ops
Monitoring, guardrails, and testing for AI systems in production. Evaluation pipelines, prompt management, regression detection, and cost optimization.
Full-Stack Engineering
Backend APIs, frontend interfaces, data pipelines, and cloud infrastructure. The production engineering that turns AI prototypes into reliable, scalable systems.
Technologies
Our engineers adapt to your stack and the tools you already use.
LLM APIs
Agent Frameworks
Data and Retrieval
Voice and Conversation
Languages and Frameworks
Cloud and Infrastructure
Observability and Evaluation
AI Development Tools
Why Companies Work With Gamyam
A staffing model built for speed, continuity, and day-to-day collaboration with your team.
Part of your team
Engineers join your team like in-house hires — dedicated full-time to your team.
Ready to start in days
Pre-vetted engineers on our bench, ready to start within a week of the first conversation.
Free one-week trial
Work with the engineer for a full week before making any commitment. Evaluate fit on real tasks, real communication, real output.
Scale without the overhead
Add or reduce engineers as your roadmap evolves. We handle payroll, benefits, and devices — no long-term contracts.
Getting Started
A simple path from the first conversation to an engineer or pod on your team.
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1
Share your requirements
Tell us the role, experience range, tech stack, timeline, and preferred timezone overlap.
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2
Review recommended engineers
We recommend one engineer or a pod based on your needs. You can review profiles and interview candidates before the engagement begins.
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3
Start with a one-week trial
Your engineer joins the team for a trial week. If the fit works, the engagement continues month to month.
Common Questions
Answers about our staffing model, team fit, and how engagements work.
What does working with a dedicated AI engineer from Gamyam look like?
Your engineer works full-time and exclusively on your team, following your processes and sprint cadence. As they ramp up, they develop deep context on your codebase and product, contributing more meaningfully with each sprint.
What is a pod and how is it different from a single dedicated engineer?
A pod is a managed team of engineers led by a project manager. While a single engineer handles tasks individually, a pod works across backend, frontend, AI, and evaluation in parallel. The project manager coordinates delivery and serves as your single point of contact.
How quickly can we get started?
Most engagements begin within five to seven business days. You share your requirements, we match the right engineer or pod, and they start onboarding into your tools and codebase on day one of the trial week. If you want to interview candidates, we accommodate that within the same timeline.
How are engineers available so quickly?
Gamyam maintains a bench of pre-vetted AI engineers who have already cleared our multi-stage evaluation. When a new engagement comes in, we select from this ready pool based on your requirements, which is why onboarding can begin within days instead of weeks.
How does the free one-week trial work?
The engineer works as a full member of your team for one week, subject to mutual agreement and availability. At the end of the week, you evaluate their output, communication, and team fit. If it works, the engagement continues month to month. If not, you walk away at no cost. Trial terms are governed by our Terms and Conditions.
Are engagements month-to-month or long-term?
All engagements are month to month at a flat monthly rate. There are no long-term contracts — either side can adjust anytime. Many engagements run six months or longer, but that duration is always the customer's choice.
How is this different from outsourcing?
With traditional outsourcing, a separate team works on deliverables outside your day-to-day workflow. With Gamyam, your engineer works inside your team — joining your standups, committing to your repositories, using your tools like Slack, Jira, or Linear, and following your sprint cadence. There is no separate project handoff or specification document. Because the engineer already has context on your codebase and product, feedback turns into progress within the same sprint. You get full visibility into their work at all times, just like an in-house team member.
How is this different from hiring full-time?
Hiring full-time typically takes two to four months for sourcing, interviewing, and onboarding — and comes with long-term commitments including salary, benefits, and equity. With Gamyam, a pre-vetted AI engineer is working on your team within one week on month-to-month terms. There are no long-term contracts, and you can scale the engagement up or down with 30 days notice. You skip the recruiting overhead while getting the same embedded, full-time dedication. If needs change or a project wraps up, you have full flexibility without the cost and complexity of traditional hiring.
How does Gamyam vet and select its engineers?
Every engineer goes through a multi-stage evaluation covering system design, architecture, and communication. Engineers are selected based on domain experience and technology background relevant to each engagement.
Can I interview the engineer before the engagement starts?
Yes. After we recommend an engineer or pod, you can interview candidates before the engagement begins. Most customers do a brief technical or cultural fit conversation. This happens within the same five-to-seven-day onboarding timeline.
What timezones do Gamyam engineers work in?
Our engineers are based in India and typically provide four to six hours of daily overlap with US, European, and APAC time zones. Full overlap with US business hours is possible depending on the engineer. The exact schedule is agreed during onboarding.
How do you handle intellectual property and confidentiality?
All work product belongs to you upon payment, subject to our Terms and Conditions. Confidentiality and IP protections are built into every engagement. Engineers work inside your repositories and tools, and are contractually required to follow your security and data handling policies. For enterprise customers with specific compliance requirements, we can sign your standard agreements including standalone NDAs.
What if the engineer is not the right fit?
If the trial week shows it is not the right fit, the engagement ends at no cost. If a fit issue arises later, we find a replacement within one week.
Get In Touch
Tell us about your requirement and we will recommend the right engineer or pod for your team.
What to include
Role, experience range, tech stack, timeline, and preferred timezone overlap.
What happens next
We review your message and reply with next steps.
Response time
Most inquiries get a response within one business day.