AI Developer

We are looking for an AI Developer to build and maintain AI-powered products and services. This role requires strong hands-on ability across LLM applications, backend development, data handling, and practical AI implementation. The ideal candidate should be able to take requirements, design workable solutions, and deliver production-ready features. They should also have a solid understanding of broader AI concepts beyond prompt engineering, including model training fundamentals, data science basics, and awareness of newer developments in the AI ecosystem. Key Responsibilities: - Design and implement AI-powered product features using modern AI and LLM-based approaches.

• Build and maintain backend AI services and APIs using Python and FastAPI.
• Familiarity with tensorflow/pyTorch and huggingface ecosystem.
• Develop prompt workflows for structured, reliable, and high-quality outputs.
• Build workflows involving tool use, orchestration, validation, retries, and agent-style execution.
• Integrate AI features with application backends, databases, internal services, and external APIs.
• Work on use cases such as summarization, search, retrieval, document Q&A, workflow automation, and chatbot-style systems.
• Prepare and process data for AI use cases, including cleaning, chunking, transformation, labeling, and metadata handling.
• Work with PostgreSQL or similar relational databases for storage, retrieval, and AI-related application logic.
• Support model-related tasks such as dataset preparation, fine-tuning workflows, evaluation, and training pipeline support where needed.
• Improve AI quality through prompt refinement, testing, guardrails, and evaluation methods.
• Keep up with relevant AI developments, frameworks, and emerging patterns such as agent ecosystems, MCP, tools/skills-based architectures, and related integration standards.
• Monitor and troubleshoot AI systems for quality, latency, failures, and cost.
• Collaborate with product, backend, and frontend teams to ship end-to-end features.
• Document implementations clearly and follow maintainable engineering practices.

Preferred Qualifications : Experience with production use of OpenAI or comparable LLM platforms.

• Familiarity with embeddings, vector search, semantic retrieval, and RAG workflows.
• Experience with agent-style workflows, orchestration patterns, multi-step pipelines, or tool-calling systems.
• Awareness of recent AI ecosystem developments such as MCP, tools/skills patterns, and evolving agent integration approaches.
• Experience with batch jobs, background workers, schedulers, or queue-based processing.
• Familiarity with Docker and containerized deployments.
• Exposure to AWS or similar cloud platforms.
• Understanding of AI observability, token usage, and cost-aware implementation.
• Experience contributing to technical design and solution planning.