Forward Deployed AI Engineer
- Posted 2 months ago
- Be among the first 20 applicants
Job Description
About Us
Skit.ai is the pioneer Conversational AI company transforming collections with omnichannel GenAI-powered assistants. Skit.ai's Collection Orchestration Platform, the world's first solution, streamlines collection conversations by syncing channels and accounts. Skit.ai's Large Collection Model (LCM), a collection LLM, powers the strategy engine to optimize interactions, enhance customer experiences, and boost bottom lines for enterprises. Skit.ai has received several awards and recognitions, including the BIG AI Excellence Award 2024, Stevie Gold Winner 2023 for Most Innovative Company by The International Business Awards, and Disruptive Technology of the Year 2022 by CCW. Skit.ai is headquartered in New York City, NY. Visit https://skit.ai/
Role Overview
Job Title: Forward Deployed AI Engineer
Location: Bangalore (100% WFO)
Experience: 3-4 years
Type: Full-time
Mission: The Special Forces. Bridge Core Research and Client Reality. Architect solutions, don't just configure.
Tech Stack
Skit.ai is the pioneer Conversational AI company transforming collections with omnichannel GenAI-powered assistants. Skit.ai's Collection Orchestration Platform, the world's first solution, streamlines collection conversations by syncing channels and accounts. Skit.ai's Large Collection Model (LCM), a collection LLM, powers the strategy engine to optimize interactions, enhance customer experiences, and boost bottom lines for enterprises. Skit.ai has received several awards and recognitions, including the BIG AI Excellence Award 2024, Stevie Gold Winner 2023 for Most Innovative Company by The International Business Awards, and Disruptive Technology of the Year 2022 by CCW. Skit.ai is headquartered in New York City, NY. Visit https://skit.ai/
Role Overview
Job Title: Forward Deployed AI Engineer
Location: Bangalore (100% WFO)
Experience: 3-4 years
Type: Full-time
Mission: The Special Forces. Bridge Core Research and Client Reality. Architect solutions, don't just configure.
Tech Stack
- Python
- LLM Architecture patterns
- ASR/TTS Configurations
- RAG (Retrieval Augmented Generation)
- Architecture, Not Just Prompts
- Understand model limitations deeply
- Design Training Data Templates
- Build RAG retrieval logic for banking domain
- Deep Configuration - Must have
- Tune ASR Endpointing settings
- Configure VAD thresholds
- Adjust TTS prosody for specific use cases
- Go beyond just setting the language
- Deployment
- Write Python integration code
- Integrate bot into bank's workflow
- Own Bot Performance end-to-end
- 3-4 years experience in AI/ML deployment
- Strong Python coding skills
- Understanding of LLM architecture and limitations
- Experience with ASR/TTS systems configuration
- RAG implementation experience
- Client-facing technical communication skills
- Self-directed problem solver
- I'm a Prompt Engineer — we need Engineers who can code
- Support Engineers — this is a dev role




