Product Engineer / AIML

As a Product Engineer at Smartail, you will have the opportunity to work at the intersection of engineering and product thinking, where you will be responsible for designing, developing, and deploying AI/ML-powered product features using Python and modern frameworks. Your role will involve collaborating closely with product managers, designers, and data scientists to translate ideas into robust, production-grade software. You will play a crucial role in integrating large language models, machine learning pipelines, and third-party APIs into scalable products, with a strong emphasis on enhancing user experience and taking ownership of features from concept to launch. Key Responsibilities: - Design, develop, and deploy AI/ML-powered product features using Python and modern frameworks - Build and maintain integrations with LLM APIs (e.g., OpenAI, Anthropic, Gemini) and other third-party services via REST/GraphQL APIs - Write, test, and iterate on prompts for LLM-based features, including system instructions, few-shot examples, and output parsers - Collaborate with product and design teams to translate user requirements into technical specifications and working software - Evaluate model outputs for quality, reliability, and safety; implement guardrails and fallback logic as needed - Instrument features with logging, monitoring, and analytics to enable data-driven product decisions - Participate in code reviews, sprint planning, and technical design discussions - Stay current with rapidly evolving AI/ML tooling and bring relevant innovations to the team Qualifications Must-Have: - 01 years of professional software development experience - Strong proficiency in Python clean, testable, production-quality code - Exposure to ML concepts Computer Vision & Object Detection, Transformers & NLP, fine-tuning, embeddings, RAG (Retrieval-Augmented Generation), vector databases (Pinecone, Weaviate, pgvector) - Hands-on experience working with LLM APIs (OpenAI, Anthropic Claude, Google Gemini, or similar) - Demonstrated prompt engineering skills crafting, evaluating, and refining prompts for real product use cases - Experience building and consuming RESTful; familiarity with API authentication patterns (OAuth, API keys, JWT) - Solid understanding of software engineering fundamentals data structures, version control (Git), testing, and debugging Soft Skills: - Strong product intuition ability to connect technical decisions to user outcomes - Excellent written and verbal communication; able to explain AI behavior to non-technical stakeholders - Comfortable with ambiguity and rapid iteration in a fast-paced environment - Collaborative, curious, and proactive about ownership Note: This job requires on-site work at the Chennai office on all working days. No remote or work-from-home option is available. As a Product Engineer at Smartail, you will have the opportunity to work at the intersection of engineering and product thinking, where you will be responsible for designing, developing, and deploying AI/ML-powered product features using Python and modern frameworks. Your role will involve collaborating closely with product managers, designers, and data scientists to translate ideas into robust, production-grade software. You will play a crucial role in integrating large language models, machine learning pipelines, and third-party APIs into scalable products, with a strong emphasis on enhancing user experience and taking ownership of features from concept to launch. Key Responsibilities: - Design, develop, and deploy AI/ML-powered product features using Python and modern frameworks - Build and maintain integrations with LLM APIs (e.g., OpenAI, Anthropic, Gemini) and other third-party services via REST/GraphQL APIs - Write, test, and iterate on prompts for LLM-based features, including system instructions, few-shot examples, and output parsers - Collaborate with product and design teams to translate user requirements into technical specifications and working software - Evaluate model outputs for quality, reliability, and safety; implement guardrails and fallback logic as needed - Instrument features with logging, monitoring, and analytics to enable data-driven product decisions - Participate in code reviews, sprint planning, and technical design discussions - Stay current with rapidly evolving AI/ML tooling and bring relevant innovations to the team Qualifications Must-Have: - 01 years of professional software development experience - Strong proficiency in Python clean, testable, production-quality code - Exposure to ML concepts Computer Vision & Object Detection, Transformers & NLP, fine-tuning, embeddings, RAG (Retrieval-Augmented Generation), vector databases (Pinecone, Weaviate, pgvector) - Hands-on experience working with LLM APIs (OpenAI, Anthropic Claude, Google Gemini, or similar) - Demonstrated prompt engineering skills crafting, evaluating, and refining prompts for real product use cases - Experienc