Software Engineer AI Products

What Youll Do

• Design and build backend systems that power real-time low-latency AI experiences

• Architect and implement agentic AI flows: tool calling multi-step reasoning orchestration memory and planning

• Build and evolve conversational AI systems: dialogue management context handling intent routing fallback design

• Own the infra behind AI features: streaming responses WebSocket/SSE pipelines queue-based orchestration

• Make product-level decisions: youll have opinions on what to build not just how to build it

• Work on voice-enabled systems (STT/TTS streaming APIs) as part of end-user experiences

• Deploy and operate services with a focus on low latency high availability and robustness

• Instrument monitor and improve AI systems in production (eval frameworks latency tracking cost optimization)

Qualifications :

What Were Looking For

Must Have:

• 1- 4 years of backend and AI engineering experience. 

• Strong proficiency in Python

• Hands-on experience building with LLMs: prompt engineering function/tool calling RAG embeddings fine-tuning awareness

• Experience with agentic AI patterns: multi-agent orchestration ReAct loops planner-executor architectures or similar

• Strong fundamentals in real-time systems

• Keen interest in building AI-driven products particularly voice and conversational experiences

• Strong systems design instincts with a practical mindset for navigating technical tradeoffs

• Product thinking: you understand why youre building something not just the ticket description

• Comfort with ambiguity: AI product development is fast iterative and occasionally chaotic

Strong Signals

• Built or shipped AI products (voice or text chatbots copilots assistants)

• Experience designing evaluation and feedback loops for AI systems

• Contributed to or built open source developer tools SDKs or internal platforms

Bonus

• Experience with voice AI / speech-to-text / text-to-speech pipelines

• Background in distributed systems message queues (Kafka RabbitMQ Redis Streams)

• Exposure to on-device or edge AI inference

• Open-source contributions in the AI/ML space
   

Tech Youll Likely Touch

LLMs (OpenAI Anthropic open-source models) Python/ Redis PostgreSQL WebSockets / SSE Docker Kubernetes vector databases CI/CD pipelines observability tools.

What We Value

• Ownership you see a problem you fix it. You dont wait for a spec.

• Speed with taste ship fast but ship something youd want to use yourself.

• Clear thinking you can explain a complex system in simple terms.

• Curiosity the AI landscape moves weekly. You keep up because you want to not because you have to.

Additional Information :

Candidates are responsible for safeguarding sensitive company data against unauthorized access use or disclosure and for reporting any suspected security incidents in line with the organizations ISMS (Information Security Management System) policies and procedures.

Remote Work :

No

Employment Type :

Full-time