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Senior Backend and AI Engineer – Lounge Services
Artech LLC
- 🇺🇸 United States
- On-site
- Senior
- 17 hours ago
- $40 – $45 / hour
- AI
- System Design
- RAG
- Devops
- AWS
- Azure
- GCP
- Node.js
- TypeScript
- Microservices
- Kubernetes
- LangGraph
- LangChain
- Airflow
- JavaScript
- Golang
- Docker
- SQL
- PostgreSQL
- NoSQL
- MongoDB
- Redis
- Git
- CI/CD
17 hours ago
Location: New York, NY (Onsite)
Duration: 6 Months
Salary Range: $40.00 - $44.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2
Job Description:
Experience Required: 10–12 Years
AI & Gen AI Experience: 4–7 Years
Role Description
- We are looking for a talented and experienced Senior Backend Engineer to join our growing team.
- The Senior Backend Engineer will be responsible for designing, developing, and maintaining scalable and efficient backend systems that power our applications.
- The ideal candidate will have a strong background in backend development, a solid understanding of distributed systems, LLM systems, agentic workflows, and experience with cloud technologies.
- Design, develop, and maintain high-performance backend services and APIs.
- Collaborate with cross-functional teams to gather requirements, architect solutions, and implement features that meet business needs.
- Optimize backend systems for performance, scalability, and reliability, ensuring smooth operation under high load.
- Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
- Design, build, and operate production-grade agentic AI systems used across multiple products.
- Own and evolve shared agentic AI capabilities, including:
- Agent frameworks and orchestration layers.
- Planning, tool use, and memory strategies.
- Retrieval and grounding (RAG) pipelines.
- LLM infrastructure, inference, and model gateways.
- Evaluation, observability, and safety tooling for autonomous systems.
- Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.
- Implement best practices for code quality, testing, and deployment automation.
- Work closely with DevOps teams to deploy and manage backend services in cloud environments (e.g., AWS, Azure, Google Cloud).
- Collaborate with frontend engineers to define API contracts and ensure seamless integration between frontend and backend systems.
- Communicate effectively with team members, stakeholders, and management.
Core Engineering Stack
- Languages: NodeJS, TypeScript, Go.
- APIs and Services: REST, microservices.
- Cloud and Infrastructure: AWS and/or GCP, Kubernetes.
- Distributed Systems: Event-driven architectures, including Kafka.
- Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc.
- Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
- 10+ years of experience building large-scale distributed systems with strong proficiency in NodeJS/JavaScript/TypeScript and/or Golang.
- Strong experience with LLM systems, agentic workflows, or advanced ML infrastructure.
- Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
- Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
- Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
- Fluency with AI-assisted and agentic development workflows.
- Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.
- Ability to influence technical direction and align teams without formal authority.
- Experience in workflow engines, async processing, queues, and streaming systems.
- Experience with cloud platforms and services and containerization technologies (e.g., Docker, Kubernetes).
- Proficiency in database technologies such as SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis).
- Strong problem-solving skills, with the ability to analyze complex technical challenges and propose effective solutions.
- Experience with version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.
- Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- Experience building agentic systems in fintech or other regulated industries.
- Experience as a founding engineer or early technical leader in AI-driven products.
- Demonstrated success delivering technically complex autonomous systems.
- Meaningful contributions to open-source AI or agentic frameworks.
- Familiarity with fine-tuning, model optimization, and inference pipelines is a plus.
Senior Backend and AI Engineer – Lounge Services · Artech LLC