Description :

The team works on :

- AI Agents for automated issue resolution

- User Intent Detection

- AI-Powered Answers and Knowledge Base Enhancements

- Agent CoPilot for agent productivity

- LLM-based systems, proprietary ML models, and multimodal RAG pipelines

The team includes Backend Engineers, Full-stack Developers, ML Engineers, Data Scientists, and Frontend Developers-collaborating to deliver intelligent and scalable AI experiences.

About the role :

We are looking for an experienced engineer with deep technical expertise in AI and strong leadership skills. You will help design and deliver advanced AI products and AI Agents, lead a group of engineers, and drive end-to-end execution of LLM-powered initiatives.

This role combines hands-on AI/ML and LLM engineering with technical leadership-guiding backend, frontend, and full-stack developers to build reliable, scalable production AI systems.

Requirements :

What you'll do :

- Lead and mentor a team of backend and frontend developers, fostering a high-performing, collaborative engineering culture.

- Own the technical direction, architecture, and strategy for LLM, AI Agent, and ML initiatives.

- Architect and build AI Agents, RAG pipelines (including multimodal RAG), LLM-based services, and evaluation frameworks.

- Design, build, and deploy scalable AI/ML systems from concept to production.

- Collaborate closely with PMs, ML Engineers, and Data Scientists to convert business requirements into AI-driven solutions.

- Oversee full SDLC for your squad-ensuring strong engineering practices around coding, testing, quality, and reliability.

- Conduct detailed technical reviews and provide guidance to maintain code quality.

- Troubleshoot performance, scalability, and reliability issues in production AI systems.

- Champion continuous improvement, automation, and innovation within the team.

- Keep the team up-to-date with advances in LLMs, LLMOps, fine-tuning techniques, vector search, and generative AI.

What you'll bring :

- 8- 10 years of experience in software development.

- More than 5 years of hands-on experience in AI/ML.

- More than 2 years in an engineering leadership role, preferably leading a cross-functional team.

- Hands-on experience building :

1. AI Agents / Agentic workflows

2. LLM pipelines (inference, orchestration, guardrails)

3. RAG systems (vector search, knowledge bases, multimodal RAG)

4. LLM fine-tuning (SFT, LoRA, instruction tuning)

5. LLMOps workflows (monitoring, evaluation, optimization, versioning)

- Strong understanding of ML algorithms, embeddings, transformers, vector semantics, and distributed systems.

- Experience with Vector Databases such as Elasticsearch, Weaviate, Pinecone, or Milvus.

- Proficiency with ML frameworks (PyTorch, TensorFlow, scikit-learn).

- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tooling.

Good to have :

- Solid foundation in backend technologies such as Python, Java, Go, Node.js, and experience with Kafka.

- Knowledge of the Gaming industry or Customer Support domain.

- Familiarity with frontend frameworks (React, Angular, Vue.js).

- Exposure to functional programming (Clojure preferred; our team uses Clojure).

- Experience in startup/high-growth environments.

- Open-source contributions in AI/ML/LLM projects.

- Experience with containerization and orchestration (Docker, Kubernetes).

Bonus Points :

- Experience building production-grade LLM-powered automation for customer support or gaming.

- Publications, presentations, or contributions related to LLMs, RAG, or AI Agents.

Benefits :

- Hybrid setup

- Worker's insurance

- Paid Time Offs

- Other employee benefits to be discussed by our Talent Acquisition team in India.