AI Engineer

Job Description

What You Bring :

– 8+ years in software or ML engineering, with 2+ years building LLM-based or agentic systems in production.

– Deep, hands-on experience with LLM orchestration frameworks and patterns (function calling, tool use, structured outputs, streaming) – and knowing when to skip the framework and build it yourself.

– Production RAG experience: vector databases, retrieval quality tuning, re-ranking, and eval-driven iteration.

– Experience designing multi-agent systems: task decomposition, agent coordination, memory, and failure handling.

– Strong Python; comfort with Go is a plus. Solid grasp of distributed systems (queues/messaging, Redis, Kubernetes).

– Track record of leading engineers as a tech lead or staff engineer: design reviews, mentorship, delivery ownership.

Nice to have :

– Real-time or voice AI experience (latency-sensitive pipelines, streaming ASR/TTS integration).

– Fine-tuning or serving SLMs (vLLM, TensorRT-LLM, or similar).

– Experience with Indic languages or code-mixed text.

– Familiarity with enterprise compliance needs (data residency, DPDP, RBI guidelines).

– Hands-on experience with Livekit and Pipecat frameworks.

Why This Role :

– Own a core layer of a fast-growing agentic platform used by large enterprises, end to end.

– Work on hard, real problems: agents that talk on live phone calls with sub-second latency budgets.

– Build on proprietary models (ASR, TTS, SLM) – not just API wrappers.

– Small, senior team. High trust, high ownership, direct access to leadership.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
#GraphicDesignJobsOnline
#WebDesignRemoteJobs
#FreelanceGraphicDesigner
#WorkFromHomeDesignJobs
#OnlineWebDesignWork
#RemoteDesignOpportunities
#HireGraphicDesigners
#DigitalDesignCareers
# Dynamicbrand guru