offshore.dev

Andela Kenya

Nairobi, KE Website 201-500 employees
$18 - $40/hr

Technologies

KubernetesDockerAWSSwiftObjective-CLLMsGPT-4RAGRLHFVector databasesAzure FlexHA PostgresAgentic AIMulti-agent systemsComputer visionML pipelinesGenAIFine-tuningModel optimizationNLPMLOpsLLMOpsETL/ELT

Services

AI Engineer HiringBlended Team DeploymentData Readiness for AIAI Model AlignmentEnterprise AI RetrievalAI in ProductionAgentic Customer SupportAI-Powered Customer TriageAI-Driven Customer ExperiencesTraining as a Service (TaaS)LLM Engineering TrainingAgentic AI Systems TrainingLLMOps TrainingAI Strategy & Leadership TrainingProduction AI System Development

Notable Clients

International Service GroupGoldman SachsGitHubThe Weather ChannelSoFiGoPuffZendesk

Andela, founded in 2014, connects global technologists with enterprise AI opportunities. The company positions itself as the "human layer" powering production AI systems, operating a talent ecosystem of 17,000+ certified AI-native engineers across 135+ countries who speak 300+ languages. Andela has served 650+ enterprise clients and holds 2,000+ global commercial agreements. The company is backed by major investors including Spark Capital, the Chan Zuckerberg Initiative, and Generation Investment Management, and achieved unicorn status in June 2021 with a $1.5 billion valuation.

Services and capabilities

Andela offers three core service lines. The Blended Teams offering deploys AI-native engineers into production systems across three categories: Builders (9,000+) who develop LLM, RAG, and agentic components; Integrators (5,200+) who manage compliance and governance at scale; and Scalers (4,500+) who connect models and data into multi-step workflows.

AI System Development covers the full production pipeline. Data Readiness for AI includes ingestion, annotation, governance, legacy data assessment, ETL/ELT pipeline engineering, and data quality optimization. AI Model Alignment encompasses supervised fine-tuning on enterprise datasets, RLHF pipeline design, reward modeling, and continuous evaluation through automated regression testing and drift detection. Enterprise AI Retrieval handles end-to-end RAG systems, vector database indexing, hybrid search architecture (keyword + semantic), and role-based access controls. AI in Production includes refactoring prototype systems into production-grade services, agentic systems orchestration, and governance frameworks. Customer-facing applications span agentic customer support with multi-turn conversational agents, AI-powered triage and routing, and real-time experience personalization.

Training as a Service (TaaS) upskills internal engineering teams on LLM engineering, agentic AI architecture, LLMOps and observability, and AI strategy. Andela reports training 200,000+ technologists through partnerships with NVIDIA, Google, and GitHub. The company also operates a Learning Partnerships program where engineers are continuously trained on AI platforms.

Notable work

Andela published three measurable case studies. For a Zendesk implementation, Andela reduced ticket resolution times by 3x while handling a 100K-ticket backlog. For GoPuff, database uptime improved 80% through Azure Flex and HA Postgres work. SoFi achieved 33% faster project delivery on an AI-driven risk intelligence platform for fraud detection.

Client testimonials name International Service Group (Chief Data and Analytics Officer), Goldman Sachs (VP of Data Engineering), GitHub (Sr. Director of Worldwide Partners), and The Weather Channel (former CTO). These executives specifically mention integrated blended teams, cost savings through geographic talent access, and partnership depth.

How they work

Andela operates cohort-based delivery. AI engineer cohorts are "released quarterly" and trained to build, deploy, and operate production systems. The company maintains continuous pipelines organized into three role-based tiers (Builders, Integrators, Scalers) that can be deployed immediately. Engagement models include augmenting existing teams or deploying fully-managed teams. The platform consolidates hiring, AI system development, and workforce training in a single interface. Pricing is not disclosed in the source material.

Team and credentials

Andela was founded in May 2014 by Jeremy Johnson, Iyinoluwa Aboyeji, Nadayar Enagesi, Brice Nkengsa, Ian Carnevale, and Christina Sass. Current leadership includes CEO Carrol Chang (appointed September 2024, former Uber executive); Chief Revenue Officer Geoff MacNeil (15+ years in tech, prior roles at Crowdbotics, Gigster, Sun Microsystems); Chief Product & Technology Officer Barun Singh (founder/CTO background, MIT AI research, MIT Board of Trustees); SVP of Solutions Kennith Jackson (20+ years, former Google Cloud executive); General Counsel Erin Lothson (former GC at Dandy, Uber Freight, Groupon); SVP Finance Connie Hsiung (15+ years in high-growth tech); and VP People Lila Millsap (former VP at InVision). The certified talent network includes 300+ PhDs. Andela holds a 4.7-star rating on Clutch with 329 reviews. The company has been backed by leading global investors including Serena Ventures and maintains enterprise partnerships with NVIDIA, Google, GitHub, and other platforms. No specific ISO, SOC 2, or GDPR certifications are mentioned in the source material.

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Frequently Asked Questions

What does Andela specialize in?
Andela provides the human layer for production AI systems. The company deploys AI-native engineers, builds enterprise-ready AI systems (data readiness, model alignment, RAG, agentic AI), and upskills engineering teams through its Training as a Service platform. It serves enterprises with tasks spanning data annotation, model fine-tuning, RLHF, governance, and production deployment.
Where is Andela based and what's its geographic footprint?
Andela was founded in Lagos, Nigeria in 2014 and expanded to Nairobi, Kenya (2015), Kampala, Uganda (2017), and Cairo, Egypt (2019). The company operates globally with certified engineers in 135+ countries speaking 300+ languages. Operations transitioned to fully remote in February 2020.
How large is Andela's engineer network?
Andela has 17,000+ certified AI-native engineers organized into cohorts: 9,000+ Builders, 5,200+ Integrators, and 4,500+ Scalers. The talent network includes 5.6M+ developers from Codewars, 200,000+ technologists trained through partnerships with NVIDIA, Google, and GitHub, and 300+ PhDs.
What's Andela's typical engagement model?
Andela offers two primary models: augment your existing team with AI engineers or deploy a fully-managed team to build and scale AI systems. AI engineer cohorts are released quarterly and trained to build, deploy, and operate production systems. Teams are organized by role (Builders, Integrators, Scalers).
What technologies does Andela work with?
Andela works with AWS, Kubernetes, Docker, Azure, vector databases, Python, Swift, Objective-C, and modern AI/ML stacks including LLMs (GPT-4), RAG systems, RLHF, agentic AI, fine-tuning frameworks, computer vision pipelines, NLP, MLOps, and LLMOps tools.
Who are some of Andela's enterprise clients?
Named clients include Goldman Sachs (VP of Data Engineering), GitHub (Sr. Director of Worldwide Partners), The Weather Channel, International Service Group, SoFi, and GoPuff. Andela has served 650+ enterprises across regulated and high-stakes industries. The company holds 2,000+ global commercial agreements.

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