Senior AI Engineer

As a Senior AI Engineer focused on CreditAI our flagship GenAI product you will own complex technical problems across the full AI stack — designing distributed systems orchestrating multi-agent workflows and ensuring production reliability at scale.

Responsibilities

• Design and implement multi-agent and agentic orchestration frameworks using agent SDKs such as the Claude Agent SDK Google ADK or AWS AgentCore incorporating tools external data sources memory and state management
• Build and maintain MCP servers and integrations to extend AI system capabilities with structured tool use and external context
• Build and optimize RAG pipelines including embedding strategies vector database retrieval quality tuning and cost-aware ingestion design
• Integrate with managed LLM services across cloud providers to support diverse deployment and cost optimization strategies.
• Fine-tune optimize and deploy open-source deep learning models for production use cases leveraging GPU infrastructure for training and inference
• Apply systems thinking to design and optimize AI and LLM systems balancing quality scalability latency cost and operational complexity while implementing efficiency improvements using model selection prompt design batching caching and retrieval strategies.
• Design and implement automated evaluation frameworks to assess LLM system quality accuracy and performance across production workloads
• Apply reinforcement learning techniques (e.g. RLHF RLAIF) to improve model alignment and task-specific performance
• Architect and manage high-throughput real-time data pipelines using Kafka
• Design deploy and scale production AI services on AWS (Batch Lambda ECS S3 etc) applying modern containerization CI/CD and infrastructure-as-code practices
• Implement comprehensive observability frameworks using Datadog — tracking token usage pipeline latency error rates consumer lag and model performance with actionable alerting
• Identify and resolve production bottlenecks across distributed systems including database query optimization consumer scaling and LLM throughput tuning
• Apply strong problem-solving and critical thinking skills to break down complex ambiguous requirements into clear implementable technical components and system designs.
• Conduct code reviews; contribute to team standards around reliability testing and operational excellence
• Communicate progress trade-offs and outcomes to relevant stakeholders.
• Continuously learn and adapt to advancements in NLP and Generative AI to ensure solutions remain innovative and effective.

Requirements

• Bachelor's or Master's degree in Computer Science Engineering or a related technical field (or equivalent practical experience).
• 5+ years of experience as an AI Engineer Machine Learning Engineer or applied AI practitioner with a strong foundation in computer science and algorithms.
• Deep Python expertise with a track record of shipping production systems at scale; strong software engineering practices including clean code testing code review and CI/CD.
• Hands-on experience designing building and deploying LLM-driven or GenAI applications including multi-agent architectures and agentic workflows with familiarity with vector databases embeddings pipelines or semantic search systems.
• Hands-on experience designing and implementing automated evaluation frameworks for LLM systems
• Solid understanding of machine learning and applied AI concepts with the ability to take solutions from prototype to production and translate research ideas into scalable real-world systems.
• Experience with GPUs for model training or inference including tuning and deploying open-source deep learning models in production; proficiency with PyTorch or TensorFlow for model development and fine-tuning.
• Practical experience with cloud-based deployments and infrastructure tools (e.g. AWS Docker GitHub) and an understanding of modern DevOps practices containerization orchestration and caching strategies.
• Strong problem-solving and systems thinking with the ability to balance trade-offs across model quality scalability inference latency and cost.
• Excellent communication and collaboration skills with experience working closely with product managers engineers and domain experts to deliver actionable technical solutions.
• Strong ownership and initiative with the ability to independently drive projects from problem definition to delivery; a passion for learning and staying current with the rapidly evolving AI/ML landscape.

At Octus we consider a range of factors in connection with compensation decisions including experience skills location and our business needs and limitations. As a result compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $160000 - $180000.

The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors.

What We Do

Octus was founded in 2013 with a simple conviction: credit decisions deserve clarity not chaos. Markets were fragmented. Intelligence was gated. Data lived in silos. Professionals were forced to stitch together incomplete pictures while the clock kept running. We built Octus to change that. Octus is the essential credit platform that tracks the entire credit lifecycle. From origination and underwriting to secondary trading refinancing distress and restructuring we follow every development across leveraged loans high-yield bonds private credit and special situations. We structure millions of documents surface risks benchmark performance and deliver expert reporting and analysis in real time. What began as a newsroom fused with legal and financial expertise has evolved into a unified ecosystem. Octus brings together proprietary data expert-driven intelligence and integrated workflow tools so credit professionals can analyze situations uncover opportunities manage portfolios execute trades and stay compliant without ever leaving the platform. Insight and action finally live in one place. Today nearly 40000 professionals across the world’s leading banks asset managers CLO managers law firms and advisors rely on Octus to move smarter and faster. They turn to us for breadth depth and rigor forged over more than a decade and for the speed integration and precision that define the future of credit workflow. Our mission is direct and ambitious: end fragmentation collapse the distance between intelligence and execution and transform insight into impact. Because in credit clarity isn’t just an advantage. It’s everything. Octus: Where credit becomes clear.

Why Work With Us

Octus is where real experts work together to cut through chaos and build clarity in credit. You feel your impact here. What you create shapes real decisions in the market. The problems matter. The people are sharp. If you want work that counts this is the place.

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