Factspan
Website:
factspan.com
Job details:
We are seeking an experienced and innovative Technical Lead - AI/ML Engineering to lead the design, development, and deployment of next-generation AI-powered enterprise applications. The ideal candidate will possess strong expertise in full stack engineering, cloud architecture, and modern Artificial Intelligence technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI systems, and scalable machine learning platforms.
As a Technical Lead, you will drive technical strategy, mentor engineering teams, and deliver highly scalable, secure, and intelligent applications that support business growth and digital transformation initiatives.
Key Responsibilities
AI/ML & Generative AI Leadership :
- Lead the architecture and development of AI/ML platforms and enterprise AI applications
- Design and implement LLM-based solutions including :
- Retrieval-Augmented Generation (RAG)
- Agentic AI workflows
- Conversational AI systems
- AI summarization engines
- Embedding pipelines
- Build scalable machine learning pipelines for model training, inference, monitoring, and optimization
- Drive adoption of Generative AI best practices and AI governance standards
- Collaborate with Data Science, Product, and Engineering teams to deliver AI-driven business solutions
Technical Architecture & Engineering
- Lead architectural design and technical decision-making for enterprise applications
- Ensure engineering best practices including code quality, testing, scalability, and performance optimization
- Manage integrations with internal systems and third-party services
- Drive modernization initiatives across applications and infrastructure
Team Leadership & Delivery
- Mentor and guide engineering teams on AI/ML and software development best practices
- Conduct architecture reviews, code reviews, and technical mentoring sessions
- Drive Agile development processes and ensure timely project delivery
- Foster a culture of innovation, collaboration, and continuous learning
- Work closely with stakeholders to align technical solutions with business objectives
Technical Skill Set
AI/ML & Generative AI Skills :
Strong Hands-on Experience With
- Large Language Models (LLMs)
- Generative AI applications
- RAG architectures
- Agentic AI frameworks
- Prompt Engineering
- Embeddings and Vector Databases
- NLP and Conversational AI
- Experience with AI orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen
- Knowledge of Machine Learning lifecycle management and MLOps
- Experience with model monitoring, evaluation, and deployment pipelines
Required Qualifications
- Bachelors degree in Computer Science, Engineering, or related field
- 10- 14 years of software engineering and application development experience
- Proven experience leading AI/ML and enterprise engineering teams
- Hands-on experience delivering production-grade AI-powered applications
- Strong problem-solving and technical leadership skills
Preferred Qualifications
- Experience with enterprise AI governance and compliance frameworks
- Exposure to scalable AI infrastructure and hybrid cloud environments
- Experience working in Agile/Scrum development environments
(ref:hirist.tech)
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