Why This Role Stands Out
Leverage your extensive experience to lead cutting-edge AI development, building innovative GenAI applications and integrating sophisticated systems. This role offers a fantastic opportunity to shape impactful solutions and collaborate with a dynamic team, so don't miss out on this chance to advance your career.
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Englewood Cliffs, NJ, United States
Posted
2 weeks ago
MicroservicesJavaScriptLLMPythonReactTypeScript
Job Description
Role: Lead AI Engineer
Location: Englewood cliff, NJ (Onsite)
Duration 6+ Months
Experience: 12+ Years
Key responsibilities
- Clarify business and technical requirements with stakeholders.
- Build prototypes, proof-of-concepts, AI features, integrations, and workflow applications.
- Develop and enhance GenAI applications, enterprise assistants, AI agents, RAG solutions, and conversational workflows.
- Implement backend services, APIs, microservices, data integrations, and automation using Python and related technologies.
- Contribute to frontend and workflow application development using React or comparable modern frameworks.
- Support document ingestion, parsing, extraction, retrieval, evaluation, and knowledge-base enhancement.
- Integrate enterprise systems, APIs, vector databases, embedding pipelines, and approved AI services.
- Prepare demonstrations, collect feedback, and convert validated requirements into production-ready features.
- Collaborate with offshore engineers and QA resources on implementation, testing, defect resolution, and release preparation.
- Follow Client s development, security, source-control, documentation, and deployment standards.
- Support production stabilization, troubleshooting, and knowledge transfer as required.
Required qualifications
- 10+ years of experience in software engineering, AI application development, or full-stack engineering.
- Strong hands-on experience with Python, APIs, backend services, and enterprise application development.
- Experience with GenAI, LLM APIs, RAG, prompt/workflow engineering, AI agents, or conversational applications.
- Familiarity with React, JavaScript/TypeScript, microservices, cloud platforms, databases, and enterprise integrations.
- Experience with data ingestion, document processing, vector databases, embeddings, or knowledge bases is desirable.
- Understanding of automated testing, AI evaluation, security, logging, and production support.
- Strong communication skills and the ability to work directly with business and technical stakeholders.
Thanks & Regards,
Jagga Rao
Email ID:
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