Job Description
Job Description - Lead AI Engineer
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Location - Newark, New Jersey
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We are seeking a highly technical, hands-on Sr. Gen AI Engineer / Lead Gen AI Engineer to
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drive the design, development, and deployment of production-grade Generative AI
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applications. In this dual-impact role, you will act as a primary individual contributor
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architecting core AI engines while simultaneously leading engineers through task allocation,
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code reviews, and technical mentorship. The ideal candidate bridges the gap between
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state-of-the-art AI research (LLMs, Agentic frameworks, Advanced RAG, OCR) and
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production-grade full-stack engineering (Python, FastAPI, React).
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Key Responsibilities:
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● Generative AI & Agentic Systems: Architect, build, and optimize LLM-powered
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applications, multi-agent workflows (e.g., CrewAI, AutoGen, LangGraph), and
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autonomous AI agents.
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● RAG & Document Intelligence: Design and deploy advanced RAG architectures and
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document processing pipelines utilizing OCR techniques (e.g., LayoutLM,
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PaddleOCR, Tesseract, Azure Document Intelligence) and Vision LLMs to extract
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structured data.
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● Backend Microservices: Build robust, asynchronous, high-throughput microservices
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and RESTful APIs using Python and FastAPI.
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● Frontend Integration: Collaborate on or build modern web interfaces using React
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(e.g., Control Towers, operations dashboards, interactive chat interfaces).
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● MLOps & Infrastructure: Oversee model deployment, prompt engineering,
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fine-tuning, vector database integration (Pinecone, Qdrant, Chroma, PGVector), and
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cloud infrastructure setup (Azure/AWS).
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● Technical Oversight: Lead a team of AI, backend, and full-stack engineers; allocate
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tasks, establish sprint priorities, and ensure timely delivery.
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● Conduct rigorous code reviews: To maintain high engineering standards, security,
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performance, and scalability across AI and full-stack codebases.
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Key Qualifications & Skills
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● Overall Experience: 6 to 12 years of professional software engineering experience.
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● AI/ML Domain Experience: 3+ years of dedicated, hands-on experience building
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and deploying AI/ML, OCR, and Generative AI solutions in production.
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● Core Technical Stack:
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● Generative AI & LLMs: Extensive experience with commercial and
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open-source LLMs (OpenAI, Anthropic Claude, Llama), Agentic frameworks
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(LangChain, LlamaIndex, AutoGen, CrewAI), and LLM evaluation frameworks
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(LangSmith, TruLens, RAGAS).
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● RAG & Unstructured Data: Strong knowledge of hybrid search, re-ranking,
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chunking strategies, vector databases, and document intelligence workflows.
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● OCR & Vision Techniques: Hands-on experience with OCR engines (Tesseract,
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PaddleOCR, Azure Document Intelligence) and Multi-Modal/Vision LLMs.
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● Backend: Deep expertise in Python and asynchronous frameworks (FastAPI,
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AsyncIO).
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● Frontend: Working proficiency in React (TypeScript/JavaScript) for building
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interactive web UI components.
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● Cloud & DevOps: Hands-on experience with cloud platforms (Azure / AWS),
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Docker, Kubernetes, and CI/CD pipelines.