Build and deploy production AI systems, agents, APIs, backend services, data pipelines, and models. Work directly with customers to translate business challenges into technical solutions, automate workflows, run experiments, measure outcomes, and iterate quickly. The role requires strong software engineering and system design fundamentals, AI knowledge, cloud or Kubernetes familiarity, comfort with ambiguity, and strong communication skills.
About CloudRaft
CloudRaft builds AI and cloud-native platforms for enterprises and startups. We move fast, argue about hard problems, and ship things. If you want to grow quickly and work on stuff that actually matters to customers, this is a good place to be.
The Role
We're looking for engineers who build first and ask questions later. You'll work on AI agents, data pipelines, Kubernetes deployments — whatever it takes to get a system working in the real world. This is a high-ownership role in a startup that moves fast. You'll design, experiment, ship, and iterate. You should have strong opinions about what good engineering looks like.
This role is probably not for you if you need detailed specs before starting, prefer narrowly defined work, or aren't comfortable talking directly with customers.
What you'll do
- Build AI systems that solve actual business problems, not demos
- Work directly with customers to turn business challenges into technical solutions
- Design and deploy AI applications that automate workflows
- Run experiments, measure results, and iterate quickly
- Ship production-ready code across backend systems, APIs, data pipelines, and models
- Make smart trade-offs between getting it right and getting it done (we bias toward shipping)
- Own outcomes, not just tasks
What we're looking for
- 1–2 years in software engineering, AI, internships, or research
- Strong computer science fundamentals and system design experience
- Clean, testable code — and enough AI experience to know when a model is generating bad code
- Solid understanding of AI basics: Large language models, agentic systems, data preprocessing, MCP, multimodal systems, data retrieval and memory.
- Some familiarity with cloud platforms or Kubernetes
- Comfortable working with ambiguity and minimal hand-holding
- Strong communication skills — you'll be talking to customers regularly
- Engineering degree from an accredited university
When applying, include your portfolio and a short note on why this role is a good fit for you specifically!
Compensation Range: INR 5,00,000 - INR 10,00,000 Per Annum.
Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.
Top Skills:
Ai AgentsAnnotation WorkflowsBraintrustCachingCi/CdEvaluation FrameworksLangsmithLlmsModel RoutingObservability ToolingPythonRuby On Rails
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build, train, evaluate, and deploy machine learning and LLM-based safety models, guardrails, and content moderation systems. Develop evaluation frameworks, adversarial testing, and low-latency inference solutions for high-throughput production workloads. Research defenses against jailbreaks, prompt injection, data leakage, and harmful content. Support AI governance, compliance, audit logging, and watermarking. Collaborate across engineering, product, legal, and trust teams while mentoring engineers.
Top Skills:
SparkAWSDockerGCPGoGraph-Based Entity SystemsJavaKafkaKinesisKotlinKubernetesLlmsLookerLoraMicrostrategyNlpPeftPrompt EngineeringPythonR-ShinySap BusinessobjectsSQLTableauTensorrt-LlmTransformer ArchitecturesTriton Inference ServerVllm
Consumer Web • HR Tech
Design, build, and operate production-grade autonomous AI systems and multi-agent workflows. Develop agentic capabilities using OpenAI, Google Gemini, and Perplexity; implement orchestration, reflection, planning, evaluation, observability, and human-in-the-loop controls. Deploy scalable serverless services with Python and AWS, integrate with .NET systems, manage reliability and cost constraints, and create testing frameworks to monitor and improve agent quality.
Top Skills:
.NetAmazon EventbridgeAws LambdaAws Step FunctionsC#Claude CodeCursorGoogle GeminiOpenaiPerplexityPython
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
