
AI Developer/3 years/Remote
2 weeks ago
We are seeking an innovative AI Developer with strong hands-on experience in Large Language Models (LLMs), AI guardrails, cloud-based deployments, and agentic frameworks. The ideal candidate will have a proven track record of designing, building, and deploying AI-powered solutions with a strong focus on security, reliability, and scalability.
Key Responsibilities
- LLM Development & Integration
- Design, fine-tune, and deploy LLM-based applications using platforms such as OpenAI, Anthropic, Hugging Face, Azure OpenAI, or similar.
- Implement prompt engineering and fine-tuning strategies for optimal model performance.
- Integrate LLMs into applications, APIs, and workflows.
- AI Guardrails & Safety
- Implement content filtering, bias mitigation, output validation, and hallucination prevention.
- Utilize AI safety frameworks (e.g., Microsoft Presidio, Guardrails AI, NeMo Guardrails) to ensure responsible AI outputs.
- Develop monitoring systems for AI performance, drift, and compliance with ethical guidelines.
- Cloud Deployment & Infrastructure
- Deploy AI solutions on AWS, Azure, or Google Cloud leveraging services like Lambda, Kubernetes, Docker, API Gateway, Functions, and cloud AI services.
- Optimize AI workloads for cost, performance, and scalability in the cloud.
- Manage data pipelines, storage solutions, and cloud security best practices.
- Agentic AI Frameworks
- Build and maintain AI agents using LangChain, LlamaIndex, Haystack, or custom agentic architectures.
- Design agent orchestration logic for multi-step reasoning, tool use, and decision-making.
- Integrate external APIs, databases, and tools into autonomous AI workflows.
- Collaboration & Documentation
- Work closely with product managers, data scientists, and backend developers to translate requirements into AI-driven features.
- Document AI workflows, architecture, and deployment processes.
- Stay updated on LLM advancements, AI safety research, and emerging frameworks.
Required Skills & Qualifications
- Education: Bachelor's degree in Computer Science, AI/ML, Data Science, or related field (or equivalent practical experience).
- Experience: Minimum 3 years of professional experience in AI/ML development with at least 1+ year focused on LLMs.
- Technical Skills:
- Programming: Python (must), JavaScript/TypeScript (optional but a plus).
- LLM Tools: OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex.
- Guardrails: NeMo Guardrails, Guardrails AI, custom safety checks.
- Cloud Platforms: AWS, Azure, or GCP (at least one).
- Data Handling: Vector databases (Pinecone, Weaviate, Milvus, Chroma).
- DevOps: Docker, Kubernetes, CI/CD pipelines.
- Soft Skills:
- Strong problem-solving and debugging abilities.
- Clear communication and documentation skills.
- Ability to work in fast-paced, iterative development environments.
Preferred (Nice-to-Have) Skills
- Experience with multi-modal AI (text, image, audio).
- Knowledge of RAG (Retrieval-Augmented Generation) architectures.
- Familiarity with prompt evaluation & benchmarking tools.
- Exposure to AI ethics and regulatory compliance.
Job Types: Full-time, Contractual / Temporary
Contract length: 12 months
Pay: ₹40, ₹50,000.00 per month
Benefits:
- Work from home
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