Senior AI Engineer, Part time, Remote, India

Senior AI Engineer | Part-time | Remote (based in India)
Sovereign SLM Labs is looking for a Senior AI Engineer to build secure, scalable, and production-ready private AI solutions for enterprise customers.
This is a hands-on engineering role for someone who enjoys working across models, RAG, AI agents, enterprise data, APIs, and deployment infrastructure, and can take an AI use case from prototype to production.
What you will work on:
• Private and governed enterprise AI applications
• RAG pipelines for enterprise documents and knowledge bases
• AI agents and multi-step workflow automation
• SLMs, LLMs, specialist models, and model-routing approaches
• Prompt engineering, model evaluation, and inference optimization
• Vector databases, embeddings, chunking, retrieval, and reranking
• Integration with APIs, databases, document repositories, and enterprise systems
• Role-based access control, guardrails, source traceability, and auditability
• Deployment of AI workloads across cloud, private cloud, and on-premises environments
• Reusable AI components, frameworks, and accelerators for enterprise use cases
What we’re looking for:
• 4–7 years of overall software engineering, AI, ML, data, or platform engineering experience
• Strong hands-on experience with Python
• Experience building production or near-production GenAI, LLM, SLM, or RAG applications
• Hands-on experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar
• Experience working with models such as Llama, Mistral, Qwen, Gemma, or other open-source models
• Good understanding of embeddings, vector search, retrieval, reranking, context management, and model inference
• Experience with vector databases such as FAISS, Chroma, Milvus, Weaviate, Pinecone, Qdrant, or similar
• Experience integrating AI applications with APIs, databases, authentication systems, and enterprise data sources
• Familiarity with Docker, Kubernetes, cloud platforms, GPUs, and model-serving technologies
• Understanding of AI security, access control, data privacy, monitoring, and governance
• Ability to independently troubleshoot, experiment, and convert business requirements into working technical solutions
Nice to have:
• Experience deploying models locally or in private infrastructure using Ollama, vLLM, Hugging Face, NVIDIA NIM, or similar platforms
• Experience with agentic AI frameworks and multi-agent systems
• Experience with fine-tuning, LoRA/QLoRA, quantization, or model optimization
• Exposure to Azure, AWS, or GCP AI infrastructure
• Experience working directly with enterprise customers or technical stakeholders
Why join Sovereign SLM Labs?
You will work on AI systems designed for enterprises where privacy, control, security, and governance matter as much as intelligence.
You will work directly with our founders, build solutions for real enterprise use cases, experiment with emerging AI technologies, and help create reusable products and platforms as Sovereign SLM Labs grows.
📊 Experience: 4–7 years
🤝 Reports to: Founders
📍 Work model: Fully remote
💼 Engagement: Part-time, Consulting, or Contract
Interested candidates can apply by sending their CV to careers@sovereignslmlabs.com

Work arrangement
Yes