Lead AI Security Engineer -APS

Societe Generale SA; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Societe Generale SA in Bengaluru, India, invites a Consultant Software Engineer / AI Application Developer to design and build AI-powered applications, including RAG pipelines and multi-agent orchestration.

The role requires 7–10 years of software experience with Python/.NET backend and React frontend, plus cloud exposure (AWS/Azure) and hands-on AI/ML work. Join a team delivering production-grade AI solutions.

Qualifications

• 7–10 years of overall software development experience.
• 1–3 years of hands-on AI/ML domain experience.
• Strong full stack experience: Python/.NET backend and React frontend.
• Cloud exposure with AWS and/or Azure, and experience building RAG pipelines.

Responsibilities

• Design and develop AI-powered applications using LLMs.
• Build and maintain RAG pipelines with vector stores and embedding models.
• Develop agentic solutions and tool-enabled LLM workflows.
• Expose APIs and data connectors for agent runtimes and orchestration patterns.
• Evaluate output quality, implement guardrails, and apply prompt engineering.

Skills

Python

.NET

React

LLM/AI

AWS/Azure

RAG pipelines

Vector databases

REST API

Prompt engineering

Multi-agent orchestration

Tools

LangChain

LangGraph

AutoGen

CrewAI

Semantic Kernel

Docker

Kubernetes

FastAPI

Flask

ASP.NET

Job description

ResponsibilitiesConsultant Software Engineer / AI Application DeveloperType: Full-Time | Level: Mid to Senior (7–10 Years of Experience)Key Responsibilities1. AI Application Design & Development• Design and develop AI-powered applications using LLMs (OpenAI, Anthropic, Azure OpenAI, etc.)• Build and maintain RAG (Retrieval-Augmented Generation) pipelines including vector stores, chunking strategies, and embedding models2. Agentic Solutions & Orchestration• Develop agentic solutions using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel• Implement and integrate MCP (Model Context Protocol) servers and clients for tool-enabled LLM workflows• Build and expose tools, APIs, and data connectors for use within agent runtimes• Work with orchestration patterns: multi-agent systems, planning loops, memory management, and tool-use3. Quality, Evaluation & Prompt Engineering• Evaluate LLM output quality, implement guardrails, and optimize prompt engineering4. Full Stack Development• Design and develop full stack applications spanning backend (Python / .NET) and frontend (React) layers5. Cloud & Production Deployment• Architect and deploy solutions on cloud platforms (AWS and/or Azure)• Collaborate with data engineers and backend teams to integrate AI capabilities into production systems________________________________________Required SkillsCore Experience• 7–10 years of overall software development experience• 1–3 years of hands-on experience working in the AI/ML domain• Strong full stack development experience: Python and/or .NET on the backend, React on the frontendTechnical Expertise• Cloud platform experience: AWS (Bedrock, Lambda, S3, etc.) and/or Azure (Azure OpenAI, Azure ML, AKS, etc.)• Hands-on experience building RAG pipelines (LlamaIndex, LangChain, or custom)• Experience with vector databases (Chroma, Qdrant, Weaviate, pgvector, etc.)• Familiarity with MCP and tool/function calling patterns in LLM applications• Experience designing agentic workflows (ReAct, plan-and-execute, multi-agent)• REST API development (FastAPI / Flask / ASP.NET)• Understanding of prompt engineering, context window management, and LLM evaluation________________________________________Nice to Have• Familiarity with observability tools for LLM apps (LangSmith, Arize, Helicone)• Knowledge of fine-tuning or RLHF workflows• Exposure to MCP server development (SSE / stdio transport)• Containerization with Docker / Kubernetes• Experience working in the cyber domain or having cyber knowledge will be an added advantageProfile requiredRequired SkillsCore Experience• 7–10 years of overall software development experience• 1–3 years of hands-on experience working in the AI/ML domain• Strong full stack development experience: Python and/or .NET on the backend, React on the frontendTechnical Expertise• Cloud platform experience: AWS (Bedrock, Lambda, S3, etc.) and/or Azure (Azure OpenAI, Azure ML, AKS, etc.)• Hands-on experience building RAG pipelines (LlamaIndex, LangChain, or custom)• Experience with vector databases (Chroma, Qdrant, Weaviate, pgvector, etc.)• Familiarity with MCP and tool/function calling patterns in LLM applications• Experience designing agentic workflows (ReAct, plan-and-execute, multi-agent)• REST API development (FastAPI / Flask / ASP.NET)• Understanding of prompt engineering, context window management, and LLM evaluation________________________________________Nice to Have• Familiarity with observability tools for LLM apps (LangSmith, Arize, Helicone)• Knowledge of fine-tuning or RLHF workflows• Exposure to MCP server development (SSE / stdio transport)• Containerization with Docker / Kubernetes• Experience working in the cyber domain or having cyber knowledge will be an added advantageWhy join usWe are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.Business insightAt Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!Still hesitating?You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.Diversity and InclusionWe are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents , regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.