About this opportunity
DataJobs lists this AI Engineer - Sr Lead Software Engineer opportunity in jersey city, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior Lead Software Engineer role focused on building agentic AI platforms and LLM-enabled cloud services.
Responsibilities
Provide technical guidance to business and engineering teams by partnering with external teams to align on priorities, remove blockers, and drive delivery outcomes.
Develop secure, high-quality production code and lead code reviews; review, debug, and improve others’ code to raise engineering standards.
Own architecture and design decisions impacting product design, application functionality, and technical operations, including SDLC practices.
Act as a subject matter expert in one or more focus areas to support technical trade-offs and resolve complex problems.
Evaluate and introduce advanced technologies when appropriate, presenting clear rationale plus risk and benefit analysis.
Build and operate production-grade LLM applications , including agentic patterns and tool integrations for enterprise use cases.
Design and deliver cloud-native services on AWS using containers and serverless architectures with scalability and operational resilience in mind.
Implement retrieval-augmented generation (RAG) solutions using embeddings, semantic search, and context engineering to improve answer quality and control.
Build reliable service APIs and integrations with a focus on security, performance, and maintainability.
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (examples include AI-assisted code review/refactoring, test acceleration, release readiness, incident and root-cause analysis).
Establish measurable validation standards across the SDLC/TLM toolchain, including secure coding, peer review, and automated testing, while promoting reuse of proven patterns and automation.
Apply knowledge of Software Development Life Cycle toolchain capabilities, including approved AI-assisted development and automation, to scale automation value.
Requirements
Formal training or certification in software engineering concepts and 5+ years applied experience.
Strong Python engineering skills; experience with PyTorch or TensorFlow .
Expertise with vector storage systems and designing memory for agents.
Expertise developing long-running autonomous agents using tools, skills, and human-in-the-loop workflows.
Proven experience deploying LLM-backed services to production (APIs, microservices).
Deep MLOps experience, including CI/CD, monitoring, incident response, and model governance.
Cloud-native AI deployment experience on AWS or Azure , including cost and performance optimization.
Demonstrated commitment to responsible AI practices and operational excellence.
Strong communication and collaboration skills across product, risk, legal, and compliance teams.
Demonstrated experience designing and leading adoption of agentic AI-enabled development practices using enterprise-authorized tools, including human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
Strong understanding of responsible AI control expectations in engineering workflows, including security and resiliency implications, data sensitivity, and risk-based governance, with ability to influence senior technical leaders on safe scaling patterns and reuse.
Technologies
Python
PyTorch
TensorFlow
Vector storage systems
LLM-backed services
APIs
Microservices
CI/CD
AWS
Azure
Containers
Serverless architectures
Retrieval-augmented generation (RAG)
Embeddings
Semantic search
SDLC
TLM
Model governance
Preferred Qualifications, Capabilities, and Skills
Experience with fine-tuning, adapters, or custom evaluation frameworks.
Background operating AI systems in regulated environments (finance, healthcare, etc.).
Experience with prompt engineering and LLM orchestration.
Knowledge of safety filters, audit logging, and explainability in production systems.
Experience mentoring senior engineers and leading architecture discussions.
Demonstrated ability to influence technical roadmaps and priorities.
Location: Jersey City, NJ (onsite)
Salary: USD 175,750 - 260,000 per year
Experience: 5+ years
#J-18808-Ljbffr
Worksite address
jersey city, NJ, 07390, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.