Company: People Impact

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product & Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information Technology

Salary Range: ₹ 50-55 Lacs PA

This is a Permanent Role with Valued Clients of People Impact! We are looking for a Lead AI Engineer / AI Architect to design and deliver enterprise-scale AI solutions with a focus on Generative AI, Agentic AI, and LLM-based applications. This role will drive AI architecture, establish engineering standards, and lead the development of scalable, secure, and production-ready AI systems.

Key Responsibilities AI Solution Architecture

- Lead the design and implementation of GenAI and agentic AI solutions.
- Architect multi-agent workflows using LangChain, LangGraph, A2A protocols, and related frameworks.
- Design RAG pipelines, vector search solutions, and context management strategies.
- Develop reusable AI frameworks, components, and best practices.

GenAI Engineering

- Build and optimize LLM-powered applications and AI workflows.
- Drive prompt engineering, token optimization, and response quality improvements.
- Implement safeguards around prompt security, hallucination mitigation, and responsible AI practices.

Platform & Cloud Integration

- Integrate AI solutions with Azure AI Foundry, Azure OpenAI, Databricks, and enterprise platforms.
- Deploy AI services using Docker, Kubernetes, and CI/CD pipelines.
- Ensure performance, scalability, monitoring, and operational reliability.

Technical Leadership

- Mentor AI engineers and provide technical direction across teams.
- Conduct architecture reviews, code reviews,



and technical workshops.
- Collaborate with product and business teams to align AI initiatives with organizational goals.

Required Skills

- 6+ years of experience in AI/ML/GenAI development, including 3+ years in a leadership role.
- Strong Python expertise with hands-on experience in:

- OpenAI APIs

- LangChain / LangGraph

- Pydantic

- Hugging Face Transformers

- FAISS and Vector Databases
- Experience building and deploying production-grade AI applications.
- Strong knowledge of Azure cloud services, GitHub, CI/CD, and DevOps practices.

Software Engineering Skills

- Strong understanding of data structures, algorithms, design patterns, and system design.
- Experience with distributed systems and microservices architectures.
- Hands-on expertise with Docker and Kubernetes.
- Familiarity with monitoring tools such as Prometheus, Grafana, and ELK Stack.
- Experience in performance optimization and scalability testing.

Preferred Skills

- Experience with MCP, A2A orchestration, and advanced agent frameworks.
- Exposure to AI governance, prompt observability, and compliance tooling.
- Open-source contributions in AI/GenAI technologies.
- Experience conducting architecture reviews and mentoring engineering teams.
- Participation in technical communities, hackathons, or knowledge-sharing initiatives.

Why Join Us?

- Work on cutting-edge GenAI and Agentic AI solutions.
- Influence enterprise AI strategy and architecture.
- Collaborate with high-performing teams in a hybrid work workplace.
- Access continuous learning, innovation, and career growth opportunities.

📌 Lead Artificial Intelligence Engineer (Bengaluru)
🏢 ICE
📍 Bengaluru