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Publicly listed on BSE · ISO 27001 & SOC 2 Type II certified
Publicly listed on BSE · ISO 27001 & SOC 2 Type II certified
ADD AI ENGINEERING CAPACITY TO YOUR TEAM
Add AI developers, ML engineers, and LLM specialists to your team. Select professionals aligned with your technology environment, delivery responsibilities, and AI roadmap.
We review your requirement, identify relevant profiles, and coordinate the next discussion or technical interview.
Select the closest requirement to see a practical starting model.
Recommended:
Dedicated AI Developer
Build GenAI features, ML workflows, integrations, testing, and ongoing product enhancements.
Request Developer ProfilesACCOUNTABLE ENGINEERING PARTNER
Our AI developers work with your team, following your architecture, data practices, governance requirements, priorities, and engineering processes.
Unlike independent freelancers or résumé-led staffing vendors, our professionals collaborate directly with your team while technical leadership supports governance, delivery reviews, escalation, and continuity.
Match AI expertise to your workload while retaining visibility, ownership, and decision-making control.
When to Hire
Our AI developers add capacity when priority initiatives compete for limited internal resources.
We provide LLM and RAG expertise when your team lacks specialized technical depth.
Our AI engineers add delivery capacity while you continue longer-term internal recruitment.
We help expand your team when several AI initiatives need to progress in parallel.
Our senior engineers support architecture, governance, evaluation, and critical production decisions.
We support evaluation, integration, deployment, monitoring, security, and production readiness.
Business Outcomes
Our dedicated AI developers help move priority initiatives from backlog toward production.
Our AI engineers help automate workflows, improve operations, and advance enterprise AI initiatives.
Our specialists support AI-powered product experiences, personalization, intelligent interactions, and customer-facing features.
Our ML engineers support predictive analytics, data-driven applications, and enterprise AI initiatives.
Our AI engineers help scale specialist capacity as priorities, workloads, and team needs change.
Roles and Responsibilities
From development capacity to AI architecture, deployment, and technical leadership.
Hire our AI developers to build Generative AI features, prompt workflows, intelligent applications, and production-ready user experiences.
Our production engineers optimize inference latency, fine-tune models, manage compute infrastructure, and automate CI/CD model deployment pipelines.
Hire our ML engineers to build training pipelines, feature workflows, predictive models, and deployment-ready solutions.
Our specialized engineers build semantic retrieval pipelines, vector databases, knowledge graphs, enterprise data grounding, and response accuracy evaluation.
Our AI agent engineers build agentic workflows, tool integrations, multi-agent orchestration, execution guardrails, persistent memory, and approval workflows.
Our enterprise architects define target infrastructure, model selection strategy, security controls, data governance policies, and deployment standards.
Our AI data engineers build scalable ingestion, transformation, labeling, and governance pipelines for reliable model development.
AI-ENABLED DEVELOPMENT
Human expertise guides
every critical decision
Our engineers own architecture, security, quality, costs, and production decisions.
Development
AI-assisted engineering
We support planning, coding, integrations, prompt iteration, debugging, and technical research.
Quality
Testing and validation
Our teams review tests, outputs, code quality, documentation, and model behavior.
Governance
Controlled AI use
We follow approved security, compliance, data-handling, review, and engineering standards.
Developer Selection and Onboarding
01
Share your AI use case, data environment, responsibilities, seniority, team structure, and working-hour preferences.
02
We assess technical depth, problem-solving, AI platform experience, integration skills, communication, and delivery readiness.
03
Review relevant profiles, technical experience, and AI specializations aligned with your requirements.
04
Assess technical judgment, problem-solving, communication, and collaboration fit before making your selection.
05
Align access, repositories, data controls, coding standards, initial priorities, review practices, documentation, governance, and escalation paths.
01
Share your AI use case, data environment, responsibilities, seniority, team structure, and working-hour preferences.
Matching and onboarding remain subject to role availability and the agreed engagement model.
AI ENGINEERING TECHNOLOGY EXPERTISE
OpenAI
Anthropic Claude
Google Gemini
Meta LlamaHugging FacePrompt Engineering
PythonTensorFlowPyTorch
Scikit-learn
XGBoostFeature Engineering
LangChainLlamaIndexPineconeWeaviateFAISSVector Embeddings
LangGraph
Semantic Kernel
CrewAI
Microsoft Agent FrameworkTool CallingGuardrails
DockerModel MonitoringGovernance, Security, and Continuity
Engagement requirements guide access, collaboration, security, escalation, and continuity throughout the delivery lifecycle.
Team IntegrationAgreed tools, repositories, ceremonies, access controls, and AI development workflows.
Technical AccountabilityArchitecture guidance, model reviews, quality controls, documented decisions, and defined escalation routes.
Delivery TransparencyPlanning, progress tracking, demonstrations, reporting, documentation, and regular delivery reviews.
Model and Data QualityData validation, model testing, output evaluation, versioning, secure handling, and review practices.
Security and IPNDA and confidentiality controls, managed access, secure data practices, and IP arrangements aligned with the engagement terms.
Scaling and ContinuityKnowledge transfer, documentation, onboarding, offboarding, escalation, and continuity planning as engagement needs evolve.
Global Experience
Technical talent combined with direct collaboration, structured delivery support, and enterprise accountability.
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Formal governance and long-term partner evaluation.
Adjacent data, cloud, DevOps, QA, and application expertise.
SOC 2 Type II, ISO 27001, and ISO 9001.
Share your AI use case, technology environment, required skills, preferred seniority, and team setup. We review your needs, identify relevant AI developers or engineers, and coordinate profile reviews and interviews before onboarding.
Yes. You can interview shortlisted AI professionals to assess technical judgment, communication, relevant experience, and how well they can collaborate with your existing team.
You can hire dedicated AI developers, senior AI engineers, machine learning engineers, RAG and LLM specialists, AI agent engineers, and AI solutions architects based on your technical and delivery requirements.
We assess coding ability, problem-solving, system design, communication, security awareness, and delivery readiness through a practical technical assessment and technical discussion. Depending on the role, evaluation may also cover model selection, RAG, agent orchestration, integrations, monitoring, and production trade-offs.
Our AI/ML developers can work directly with your product, data, engineering, security, and DevOps teams. They can align with your tools, workflows, reviews, documentation standards, and delivery processes.
Yes. You can begin with one dedicated developer and expand the team as requirements change. Working-hour preferences and required overlap are discussed during scoping and aligned with role availability and the agreed engagement model.
Engagement requirements address confidentiality, access controls, secure data handling, intellectual property, documentation, knowledge transfer, and continuity planning. Specific arrangements are aligned with the agreed scope and engagement terms.
If a developer is not the right fit, we review the concern, agree on corrective steps, and discuss whether a team change is appropriate. Any team changes depend on role availability and the engagement terms.
Share your AI use case, required expertise, seniority, and expected team structure. We will review your needs and coordinate relevant profiles or technical interviews.
Direct profile reviews and interviews
Engagement options aligned with your requirements
Security, IP, and onboarding needs discussed upfront
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Expert guidance you can trust. No pitch, just expert solutions.
Publicly Listed
Technology Company
600+
Engineering Professionals
14+ Years
of Enterprise Delivery Experience
SOC 2 Type II, ISO 9001, ISO 27001
Certified
500+ Client Reviews
Across Global Platforms
