Senior AI / ML Engineer
Job Description
We are looking for an AI/ML Engineer to join our R& D/lab function and help turn emerging AI capabilities into real, marketable products. This role sits between AI research and product engineering. You will have room to investigate new models, agent architectures, evaluation techniques, reasoning approaches, and emerging AI technologies, but the goal isn't to build technology simply because it is interesting. We are looking for someone who can answer: Is this technology useful enough to become a product, and can we actually productionize it? Responsibilities: - Research and evaluate emerging AI/ML technologies relevant to financial services. - Prototype new approaches quickly and determine their practical value. - Work with the product and engineering teams to turn promising research into production capabilities. - Experiment with LLMs and reasoning models, agent architectures, RAG and retrieval, agent evaluation, model routing, fine-tuning and model adaptation, context engineering, AI observability, cost/latency optimization, and multimodal AI. - AI safety and guardrails: Benchmark models and approaches using measurable evaluation criteria. - Build proof-of-concepts that can evolve into production features. - Develop reusable AI capabilities rather than one-off demos. - Work with real financial-services use cases and customer problems. - Partner with engineering to productionize successful experiments. - Help define technical differentiation for our AI platform. - Stay current on the rapidly evolving AI ecosystem and identify technologies worth adopting. - Clearly communicate the business/product implications of research findings. Requirements: - 3-7 years of experience in ML/AI/software engineering, depending on seniority. - Strong Python skills and solid software-engineering fundamentals. - Practical experience with LLMs and modern AI/ML systems. - Experience with frameworks such as PyTorch, Hugging Face, LangChain/LangGraph, or equivalent. - Understanding of model evaluation and experimentation. - Ability to build prototypes quickly but cleanly enough to transition into production. - Strong analytical and problem-solving skills. - Ability to read and understand research papers and translate relevant ideas into implementations. - Strong communication and collaboration skills. Particularly Valuable: - Experience with financial services or enterprise AI. - Agentic AI experience. - LLM evaluation/evals. - Experience with production ML/AI infrastructure. - Understanding of AI security, governance, explainability, and compliance. - Experience taking an AI research idea from a paper prototype to product. The profile we're looking for: - Research curiosity + engineering discipline + product judgment. - We don't want someone chasing every shiny new AI technology. We want someone who can identify which 10% of emerging technology can create 10x value for customers. Company Summary Transient AI is a declarative AI operating system designed to transform capital markets while meeting the demands of highly regulated environments. AI evolution needs enterprise expertise and deep domain expertise. Our platform delivers real-time, data-driven intelligence that helps financial firms stay ahead. By synthesising market data, client history, headline risk, regulatory constraints, and proprietary signals, transientAI produces proactive, actionable guidance at scale while keeping costs down. At TransientAI, our DNA is forged at the intersection of capital markets, technology, and AI. Our founding team brings 150+ years of combined experience as traders, bankers, and technologists applying AI to accelerate revenue growth, meet regulatory demands, and modernise legacy systems through the power of our declarative AI framework. Why Join Us You Should Join Us: - The opportunity to work on diverse, high-impact projects across AI consulting and digital transformation. - A collaborative, engineering-driven culture with room to lead and mentor. - Competitive compensation aligned with experience and market standards. - Exposure to modern tooling, cross-functional teams, and client-facing delivery.
Required Skills
['AI', 'LLM', 'LLMs', 'ML', 'Python', 'large language models', 'machine learning']
Additional Information
Source recruiter: Jothibalagan M Source recruiter designation: HR and Tech Recruiter Company tagline: Next-gen trusted AI operating system for capital markets Employee count: 10 Company founded: 2025 Benefits: Collaborative and high-ownership culture, Competitive compensation, Comprehensive health insurance coverage, Annual learning and development Company tech stack: Flutter, REST, GraphQL, Dart, Spark, Hadoop, TensorFlow, PyTorch, Scikit-learn, Machine Learning, Python, React.js, Docker, Kubernetes, R, C++, AWS, Google Cloud (GCP), Azure, Cloud Computing, NoSQL, SQL Website: https://transient.ai/ LinkedIn: https://www.linkedin.com/company/transient-ai/about/ Instahyre score: NA Strong match: NA Accept outstation: true Company tagline: Next-gen trusted AI operating system for capital markets Logo: https://media.instahyre.com/images/profile/base/employer/55280/c1cc0a6a21/transient_ai_logo.webp