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Tkxel · India
We're looking for a full-stack GenAI engineer who can operate directly with client to design, build, and iterate on AI solutions in real time against live business problems, not just ship code from behind a backlog. This role sits at the intersection of backend engineering and applied AI.
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
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.
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Details
| Company | Tkxel |
| Location | India |
| Type | FULL TIME |
| Niche | tech |