Algoleap Technologies - Engineering Lead - Artificial Intelligence/Machine Learning in Hyderabad, भारत

Role Overview:- Design and build AI solutions across a range of business problems, choosing the right approach for each: document and image extraction or classification, predictive models, workflow automation, LLM-based agents and more.- Apply AI engineering best practices across every project: prompt design, retrieval strategies, evaluation frameworks, regression testing and version control for models and prompts.- Set and enforce model governance standards: approval workflows, risk and bias assessment, and documentation for every model promoted to production.- Build observability into every AI system: logging, tracing and monitoring for inputs, outputs, latency and failure modes, so issues surface before they reach the business.- Own token economics and compute cost across LLM-based and other AI systems: track cost per request, choose the right model size for each task, and balance accuracy against spend.- Build and maintain a dashboard that tracks the metrics that matter, such as accuracy, latency, cost, throughput, drift and error rate, across every AI system in production.- Evaluate and select the right AI approach for each problem, whether that is an LLM, a classical machine learning model, computer vision or a mix, based on what the problem actually needs rather than what is fashionable.- Mentor engineers on AI engineering practices, and build a shared standard for how the team designs, tests and ships AI systems.- Explain what an AI system can and cannot do, in plain terms, to non-technical stakeholders and leadership, so expectations stay realistic.- Track new AI and machine learning techniques, and test them against real business needs rather than adopting them for their own https://jobeax.com/link/BHu3t5t7Cv75AjHV You Bring:- 8+ years of software engineering experience, including 3+ years focused on applied AI or machine learning in production.- Hands-on experience building and deploying a range of AI solutions, such as document or image extraction and classification, predictive models, recommendation systems, or LLM-based agents and assistants.- Strong programming skills in Python or a comparable language, and fluency with standard AI and ML tooling: model frameworks, orchestration frameworks and vector databases.- Experience building observability into AI systems: logging, tracing, monitoring and alerting for model behavior in production.- Experience with model governance: approval workflows, risk and bias assessment, and documentation standards for models moving into production.- Working knowledge of token economics and compute cost management for AI systems at scale.- Experience building dashboards or metrics systems that track model and system performance over time.- A track record of leading or mentoring engineers and setting technical direction, not only contributing as an individual.- Strong business acumen: you translate an AI capability into a concrete business outcome, and you know when a simpler, non-AI solution is the right call.- Clear communication skills.- You explain technical trade-offs to engineers and non-technical stakeholders alike, without losing https://jobeax.com/link/eaWmONuyjFKpBHEm to Have:- Experience with document or image classification and extraction, as one of several AI domains you have worked in.- Experience with a dashboarding tool such as Power BI, Tableau or Grafana, used for tracking model and system metrics.- Familiarity with prompt versioning or evaluation frameworks used for regression testing model outputs.- Exposure to a data-intensive industry, such as real estate, financial services or health care. (ref:hirist.tech)