Job Title: Generative AI & Agentic Systems Consultant
Hire Type: Contract
Location: 100% Remote
We are looking for a Solution Architect, Who is very strong in Gen AI, LangChain, CrewAI, RAG, Python (FastAPI, Flask) or Node.js.
Pls share profiles asap
12+ years EXPERIENCE Mandatory.
Role Overview:
We are seeking a hands-on Generative AI & Agentic Systems Consultant with proven experience in building and deploying production-grade Gen AI systems, including Retrieval-Augmented Generation (RAG) pipelines and agentic AI prototypes. This role requires strong full-stack engineering skills, deep AI/ML expertise, and the ability to collaborate effectively across global teams.
Key Responsibilities:
AI System Development
- Design and implement RAG-based Gen AI solutions using LLMs and vector databases, with successful deployment in production environments.
- Build agentic AI prototypes using frameworks like LangChain, CrewAI, or custom orchestration tools.
- Fine-tune and optimize LLMs for domain-specific tasks and enterprise use cases.
Full-Stack Engineering
- Develop intuitive front-end interfaces using React, Next.js, and TypeScript.
- Build robust back-end services and APIs using Python (FastAPI, Flask) or Node.js.
- Integrate Gen AI capabilities into enterprise applications and workflows.
Infrastructure & Deployment
- Deploy AI systems on cloud platforms (Azure, AWS, GCP) using Docker, Kubernetes, and CI/CD pipelines.
- Implement monitoring, logging, and feedback loops for continuous improvement and reliability.
Security & Governance
- Apply best practices for prompt safety, content moderation, and access control.
- Ensure compliance with data privacy regulations and ethical AI standards.
Collaboration & Enablement
- Work closely with cross-functional teams including product managers, data scientists, and software engineers.
- Coordinate effectively with offshore and distributed teams, managing time zone differences and ensuring smooth collaboration.
- Mentor junior developers and contribute to internal knowledge sharing and capability building.
Technical Stack & Skills:
AI/ML & Agentic Systems
- LLMs & APIs: OpenAI, Anthropic, Mistral, Hugging Face Transformers
- Agent Frameworks: LangChain, CrewAI, AutoGPT, Semantic Kernel
- Vector Databases: FAISS, Pinecone, Weaviate, Chroma
- RAG & Embeddings: OpenAI Embeddings, Cohere, SentenceTransformers
- Model Hosting: Hugging Face Spaces, Replicate, Modal, Vercel AI SDK
Full-Stack Development
- Frontend: React, Next.js, Tailwind CSS, TypeScript
- Backend: Python (FastAPI, Flask), Node.js, Express
- Databases: PostgreSQL, MongoDB, Redis
- Authentication: OAuth2, JWT, Auth0
DevOps & Cloud
- Cloud Platforms: Azure, AWS, GCP
- Containerization: Docker, Kubernetes
- CI/CD: GitHub Actions, GitLab CI, Jenkins
- Monitoring: Prometheus, Grafana, ELK Stack
Other Tools
- Git, VS Code, Jupyter, Postman, LangSmith, Gradio, Streamlit
Soft Skills & Collaboration:
- Excellent communication skills to bridge technical and non-technical teams.
- Strong interpersonal skills for working in agile, cross-functional environments.
- Experience in offshore team coordination, including managing handoffs, aligning priorities, and ensuring delivery quality.
- Proactive problem-solving mindset with a focus on business impact.
- Ability to mentor and upskill team members in Gen AI technologies.
Required Qualifications:
- Bachelor’s or Master’s in Computer Science, AI/ML, or related field.
- 6+ years of experience in software engineering and AI/ML development.
- Proven experience building and deploying Gen AI applications end-to-end.
- Strong understanding of prompt engineering, model fine-tuning, and evaluation.
Preferred Qualifications:
- Experience with multimodal AI (text, image, audio).
- Familiarity with enterprise-grade AI deployments and governance.
- Contributions to open-source AI projects or technical publications.
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