Build and deploy AI features, fine-tune and maintain language and multimodal models (HuggingFace), create AI automations and agents, develop tools/frameworks, guide dataset creation, run R&D experiments from POC to production, and monitor model performance.
RemoFirst is transforming the way businesses hire and manage global teams. Our mission is to enable Freedom of Work by providing an all-in-one global HR platform that simplifies hiring, compliance, payroll, and benefits management. We partner with some of the world’s most innovative companies, including Fortune 500 businesses and leading startups.
We are a small but strong team of 250+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships.
We’re hiring an AI Engineer to join our team at the intersection of engineering, AI innovation, and go-to-market execution. This role is perfect for a passionate AI practitioner who wants to see their work directly impacts new innovative products, company’s growth and leads to expanding own competencies in the field.
What You’ll Do
- Implement new AI features in products
- Build tools & frameworks augmenting the capabilities of LLM/VLMs
- Build AI automations & AI agents
- Fine-tune AI models
- Fine-tune and maintain models with the HuggingFace toolkit
- Monitor model's performance
- Work with and guide internal teams on building custom datasets
- Research & Development
- Rapidly build and test AI-driven concepts — moving from proof of concept → MVP → production.
- Evaluate existing solutions (both internal & external) and conduct experiments on potential improvements
What We’re Looking For
- Technical skills
- Strong software engineering background: Python, Rust is a nice-to-have
- Experience in parameter-efficient fine-tuning
- Knowledge and familiarity with the tools in AI ecosystem (ML frameworks, HuggingFace, MLOps, Guardrails, AI Agents)
- Understanding the theory behind neural networks and Transformer architecture
- Experience
- 2–5 years in AI/ML space, at least 2 years with language models
- experience with other modalities (vision, audio) is a nice-to-have
- Track record of going from idea → prototype → production in fast-paced environments
- Previous experience in R&D department is highly valued
- Traits
- Curiosity and willingness to learn
- Ability to take ownership, but also cooperate in small teams
- Ambition to reach new levels of quality
Why Join Us
- Growth opportunity: This is a chance to define how AI transforms a category-leading startup — and grow your career as we scale.
- As a part of our AI team you will be able to learn from other engineers and ongoing R&D projects.
- Direct impact: Your work will be at the center of the most important projects in our companyCompetitive compensation and benefits
Similar Jobs
Artificial Intelligence • Information Technology • Software • Consulting
Design, build, and scale backend services and distributed systems using Node.js, Express, MongoDB, Redis, and BullMQ. Integrate AI/LLM features with Anthropic Claude SDK, implement vector search with Pinecone, deploy on GCP, and ensure performance, reliability, testing, and documentation while collaborating across teams.
Top Skills:
Anthropic Claude SdkBullmqExpressGoogle Cloud PlatformMongoDBMongooseNode.jsPineconeRedis
Professional Services • Consulting
Develop, configure, test, and maintain autonomous AI agents and multi-step workflows. Integrate agents with databases and third-party platforms, build RAG pipelines and vector stores, write automated tests, debug agent failures, and support continuous iteration and secure system integrations.
Top Skills:
Async ProgrammingChromaCrewaiEmbedding GenerationFastapiFlaskGitGoogle Workspace ApiHubspot ApiJSONLanggraphLlamaindexLlm ApisMicrosoft 365MS OfficePineconePostgresPythonRestful ApisRetrieval-Augmented Generation (Rag)Salesforce ApiSlack ApiVector Databases
Artificial Intelligence • Information Technology • Software • Analytics
Lead design, development, deployment, and operationalization of enterprise AI solutions including GenAI/LLM applications, RAG pipelines, MLOps infrastructure, cloud-native AI platforms, vector search, and stakeholder-facing solutions while mentoring junior engineers.
Top Skills:
AirflowAutogenAWSAzureAzure OpenaiBashC#ChromadbClaudeCrewaiDockerExperiment TrackingFaissFeature StoresGCPGeminiGitGithub ActionsJavaJenkinsKubeflowKubernetesLangchainLlamaLlamaindexLlmsMistralMlflowModel MonitoringModel RegistryOciOpenaiPineconePrompt EngineeringPythonRagSemantic KernelSQLTerraformVector DatabasesWeaviate
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
