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A

Lead GenAI Engineer

ApTask
🇺🇸 United States
Hybrid
Staff / Principal
1 day ago
  • Machine Learning
  • RAG
  • AI
  • Microservices
  • Devops
  • MLOps
  • OpenAI
  • GPT
  • Claude
  • Gemini
  • LangChain
  • LangGraph
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • LlamaIndex
  • Pinecone
  • Weaviate
  • Chroma
  • FAISS
  • Milvus
  • Elasticsearch
  • OpenSearch
  • Vector Search
  • Python
  • REST API
  • FastAPI
  • Flask
  • Docker
  • Kubernetes
  • CI/CD
  • GitHub Actions
  • Jenkins
  • GitLab CI
  • Terraform
  • IaC
  • AWS
  • Azure
  • GCP
  • Angular
  • TypeScript
  • React.js
  • UI/UX
  • SQL
  • NoSQL
  • PostgreSQL
  • MongoDB
  • Redis
  • ETL
  • MCP
  • Model Context Protocol
  • Apache Airflow
  • n8n
  • Temporal
  • OCR
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We are looking for a highly skilled and hands-onLead GenAI Engineerto drive the design, development, and deployment of enterprise-scale Generative AI solutions. The ideal candidate will have strong expertise inAgentic AI workflows, RAG architectures, LLM orchestration, workflow automation, and scalable AI platform engineering. This role requires both technical depth and the ability to translate complex business problems into practical AI-driven solutions.
Key Responsibilities
  • Lead the architecture, design, and implementation of enterprise GenAI platforms and AI-powered applications.
  • Design and developAgentic AI workflows using autonomous and multi-agent frameworks.
  • Build and optimizeRAG (Retrieval-Augmented Generation) pipelines integrating enterprise knowledge sources.
  • Develop intelligent workflow automation solutions using GenAI and AI agents.
  • Collaborate with business stakeholders to identify AI opportunities, define use cases, and architect scalable solutions.
  • Create AI solutions for:
    • Business process automation
    • Knowledge management
    • Intelligent document processing
    • Conversational AI
    • Decision support systems
    • Code generation and developer productivity
  • Design scalable APIs and microservices for AI applications.
  • Implement observability, monitoring, guardrails, security, and governance for AI systems.
  • Optimize LLM performance, prompt engineering, latency, and cost efficiency.
  • Mentor engineering teams and establish AI engineering best practices.
  • Drive deployment automation and production readiness using DevOps and MLOps practices.
Required Skills & Experience
Generative AI & LLMs
  • Strong experience with:
    • OpenAI GPT models
    • Claude
    • Gemini
    • Llama
    • Mistral
  • Expertise in:
    • Prompt engineering
    • Fine-tuning concepts
    • Function calling / tool usage
    • AI agent orchestration
    • Context management
    • Memory handling
Agentic AI & Workflow Orchestration
  • Experience designing autonomous AI systems using:
    • LangChain
    • LangGraph
    • CrewAI
    • AutoGen
    • Semantic Kernel
    • LlamaIndex
  • Strong understanding of:
    • Multi-agent systems
    • Planning and reasoning workflows
    • Human-in-the-loop workflows
    • AI orchestration patterns
RAG & Knowledge Systems
  • Hands-on experience with:
    • RAG architecture design
    • Vector databases
    • Embedding models
    • Semantic search
    • Hybrid search
    • Chunking strategies
    • Document ingestion pipelines
  • Experience with vector databases such as:
    • Pinecone
    • Weaviate
    • ChromaDB
    • FAISS
    • Milvus
    • Elasticsearch/OpenSearch vector search
Backend & API Development
  • Strong Python development experience.
  • Experience building:
    • REST APIs
    • FastAPI / Flask services
    • AI microservices
    • Async processing pipelines
  • Familiarity with API integration patterns and enterprise integrations.
Cloud, DevOps & Deployment
  • Experience with:
    • Docker
    • Kubernetes
    • Containerization
    • CI/CD pipelines
    • GitHub Actions / Jenkins / GitLab CI
    • Terraform or Infrastructure as Code
  • Cloud platform expertise in one or more:
    • AWS
    • Azure
    • GCP
  • Exposure to:
    • MLOps
    • Model deployment
    • Monitoring and logging
    • AI governance and security
Frontend & UI
  • Working knowledge of:
    • Angular
    • TypeScript
    • React (good to have)
  • Ability to collaborate on AI-powered UI/UX workflows and conversational interfaces.
Data & Databases
  • Experience with:
    • SQL / NoSQL databases
    • PostgreSQL
    • MongoDB
    • Redis
    • Data pipelines
    • ETL workflows
Good to Have
  • Experience with AI copilots and enterprise assistants.
  • Knowledge of MCP (Model Context Protocol).
  • Experience with workflow tools like:
    • Apache Airflow
    • n8n
    • Temporal
    • Camunda
  • Exposure to AI security, responsible AI, and governance frameworks.
  • Experience in Capital Markets, Banking, Healthcare, Retail, or other enterprise domains.
  • Familiarity with OCR, speech-to-text, and multimodal AI solutions.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
  • 8+ years of software engineering experience with 3+ years in AI/GenAI architecture and solutioning.
  • Strong communication and stakeholder management skills.
  • Proven ability to lead technical teams and drive enterprise AI adoption.
Preferred Profile
  • Strong problem solver who can convert ambiguous business challenges into scalable AI solutions.
  • Ability to balance innovation with enterprise-grade architecture and operational excellence.
  • Passion for emerging AI technologies and rapid experimentation.

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team atcompliance@aptask.com.

Applicant Consent:
By submitting your application, you agree to ApTask's (www.aptask.com)Terms of Use andPrivacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.

Lead GenAI Engineer · ApTask

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