Software Engineer Jobs

About The Position

Requirements

• Extensive experience with AWS serverless architectures.
• Expert-level proficiency in Python and TypeScript.
• Strong SQL background; Snowflake experience is a plus.
• Demonstrated experience building or integrating AI-driven systems (LLMs, embeddings, AI agents, transformation pipelines).
• Solid experience with distributed systems, data pipelines, or modernizing legacy platforms.
• Proven leadership in technical strategy and mentoring.
• Experience designing or operating multi-tenant platforms.
• Strong knowledge of ETL/ELT architecture patterns.
• Prior experience with AI for code generation, metadata extraction, or workflow automation.
• Strong documentation, communication, and stakeholder - management skills.

Nice To Haves

• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search, Agents and VectorDBs, Guardrails, Memory) using Python, Typescript, React
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

Responsibilities

• Lead architecture and design for a new multi-tenant reporting platform built on AWS serverless technologies.
• Provide hands-on development using Python, TypeScript, SQL, and AWS services including Lambda, Step Functions, API Gateway and others.
• Develop AI-driven pipelines that extract, translate, and validate business logic and report parameter screens from the legacy platform.
• Define coding standards, best practices, and development patterns across the engineering team.
• Mentor senior and mid-level engineers; conduct design and code reviews.
• Partner with Product, Data, QA, and Architecture teams to align technical and business requirements.
• Design, develop, test, deploy, and support AI software components including Agent Orchestration, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
• Ensure platform scalability, security, tenant isolation, and operational excellence.

Benefits

• Comprehensive Insurance Coverage (including Medical, Dental, Vision, Pharmacy benefits, Life Insurance and AD&D)
• Flexible Spending Accounts and Health Savings Accounts
• Short-Term Disability and Long-Term Disability
• Comprehensive 401(k) plan
• Generous Parental Leave
• Unrestricted paid time off (known as Discretionary Time Off - DTO)
• Wellness Program, including ClassPass & Employee Assistance Program
• Tuition Reimbursement
• Pet Insurance
• Identity Theft Protection
• Student Debt Repayment Program
• Prepaid Legal coverage