Staff Software Engineer

We are looking for a Staff Software Engineer with deep production experience in Python and hands-on expertise in AI systems particularly Large Language Models (LLMs), BERT, or similar architectures. You ll play a key role in building scalable, intelligent systems that power our next-generation AI capabilities.

As a Staff Engineer, you ll collaborate closely with product teams, engineers within the team and also cross collaboration and to design and implement robust, high-performance solutions that bring AI research into production.

• Design and deliver

  production-grade systems and scalable AI pipelines, integrating models such as LLMs, BERT, and other architectures into Alphasense product.

• Develop innovative prompt engineering strategy

  and systems to maximize reliability and performance on confidential business documents.

• Solve Engineering challenges

  that come along with LLM solutions, such as high latency, non-deterministic output, etc.

• Drive technical excellence

  through robust system design, algorithm optimization, and high-performance model deployment.

• Collaborate cross-functionally

  with product and business stakeholders to align technical strategies with roadmap goals, ensuring business impact and delivery predictability.

• Own end-to-end execution

  from requirements to release facilitating technical discussions, unblocking teams, and accurately forecasting deliverables.

• Ensure quality and reliability

  by proactively engaging in release planning, maintaining high development standards, and upholding service SLOs/SLIs in production.

• Apply strong DevOps practices

  to monitor, troubleshoot, and optimize production systems, anticipating and resolving risks early.

• Partner with other Engineers

  in the team
  to shape engineering standards, mentor peers across teams, and cultivate a culture of learning, documentation, and shared technical ownership.

• Expert in building scalable, high-performing, and robust applications in

  Python

• Several years of

  production-level experience

  designing, deploying, and maintaining Python-based systems
• Hands-on experience (1-2 years) working with

  AI models

  such as

  LLMs, BERT, or similar architectures

  at a large scale
• Strong understanding of

  algorithms, data structures, complexity analysis, problem-solving

  , and

  object-oriented design

• Proficient with

  Kubernetes

  or equivalent container orchestration platforms
• Deep understanding of

  SQL/NoSQL databases

  and data modeling principles
• Experience working with

  cloud infrastructure

  (AWS, Azure, or GCP) and

  Infrastructure as Code (IaC)

  tools
• Experience in

  owning services end-to-end

  building, running, performing iterative improvements and observability
• Strong experience in

  writing RFCs

  , creating

  technical documentation

  , and driving

  engineering best practices

• Experience with Java
• Stay up-to-date with the latest advancements in relevant technologies
• Experience with testing frameworks
• Experience with GitOps, ArgoCD