Design and build production-grade GenAI systems: multi-agent architectures, RAG pipelines over large/enterprise-scale document stores, and real-time systems used in daily business operations
Build agentic systems that reason, retrieve, and act — not just conversational responders
Work directly with client stakeholders to translate ambiguous business problems into scoped, deployable AI use cases
Rapidly prototype and iterate on-site/embedded with the client, compressing the feedback loop between idea and working solution
Own solutions end-to-end — architecture, implementation, evaluation, and handoff — rather than working purely from fixed specs
Bridge technical and business conversations: explain trade-offs to non-technical stakeholders and translate priorities back into technical decisions
Requirements
Strong GenAI expertise — hands-on experience with LLMs, prompt engineering, RAG, agentic frameworks, and multi-agent design; comfortable working across multiple model providers
Core stack: Python, FastAPI/Django, and Azure or AWS
Applied depth in the hard parts, e.g.:
Permission-aware retrieval at scale
Async task orchestration
LLM evaluation and observability
Business understanding — able to grasp a client's operating model and pressure-test whether a proposed AI use case creates measurable value, not just technical novelty
Forward-deployed mindset — thrives working embedded with clients rather than at arm's length; comfortable with ambiguity, direct client exposure, and fast iteration cycles typical of an FDE role
Strong communication skills — able to run discovery sessions, present to leadership, and document decisions clearly.
Skills Required
- Hands-on expertise with LLMs, prompt engineering, RAG, agentic frameworks, and multi-agent design
- Experience working across multiple model providers
- Proficiency with Python
- Experience with FastAPI or Django
- Experience with Azure or AWS
- Experience designing permission-aware retrieval systems at scale
- Experience with asynchronous task orchestration
- Experience with LLM evaluation and observability
- Ability to translate ambiguous business problems into deployable AI use cases
- Ability to work directly with clients and communicate with non-technical stakeholders
- Strong written and verbal communication skills
What We Do
AI driven technology solutions for modern enterprises. We help organizations transform, scale, and innovate through a combination of artificial intelligence and advanced software engineering. By applying intelligent automation and data driven systems, businesses can simplify operations, improve efficiency, and unlock new growth opportunities. Our expertise includes AI strategy and consulting to identify high impact opportunities, AI development to build machine learning models and predictive systems, and intelligent automation to streamline workflows and boost productivity. We also deliver cloud migration, application modernization, embedded systems, and digital product engineering to help businesses move beyond legacy limitations and build scalable, future ready solutions. With a strong focus on results, we enable faster time to market, reduced operational costs, and improved performance across critical business functions. Every solution is tailored to specific goals, ensuring measurable outcomes and long term value. Take the next step toward smarter growth. Contact us now for a consultation and start transforming your business today.
