Skit.ai - Lead Software Engineer - Python Programming

About Us :

Skit.ai is the pioneer Conversational AI company transforming collections with omnichannel GenAI-powered assistants.

Skit.ais Collection Orchestration Platform, the worlds first solution, streamlines collection conversations by syncing channels and accounts.

Skit.ais 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.

Job Title : Lead Software Engineer (Solutions)

Location : Bangalore, 5-day WFO (Monday to Friday)

- Act as a client-facing technical lead, collaborating with Delivery, Infrastructure, and Product teams.

- Design and implement solutions for problems that cannot be addressed with existing product features.

- Engage with client technical and business teams to understand workflows and replicate them using Skits products where possible.

- Research, diagnose, troubleshoot, and resolve client integration issues.

- Take ownership of API and telephony integration challenges and drive them to resolution.

- Identify technical integration issues and provide effective solutions.

- Automate manual operational tasks to improve efficiency.

Requirements :

- Strong client-facing and project-unblocking skills.

- Ability to debug systems/calls using logs and traces.

- Proficiency in Python programming.

- Experience integrating or building HTTP APIs.

- Willingness to collaborate across teams and experiment with new technologies.

- Strong communication skills.

Preferred Requirements :

- Understanding of applied ML concepts and challenges.

- Hands-on Python programming experience in machine learning projects.

Technical Skills :

- Experience developing microservices or projects in Python.

- Hands-on experience with RDBMS (e.g., PostgreSQL).

- Familiarity with container platforms like Docker and Kubernetes.

- Exposure to AWS or similar cloud platforms.