AI Developer
Vofox Solutions Pvt Ltd · Kochi
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Employer requisition: vofox-ai-developer-kochi-kerala-india-3-4
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Collected role description
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.
Collected experience requirement
3-4 years