Software Engineer - AI/ML

Role Overview

We are seeking a highly skilled Agentic AI Engineer with 3 to 6 years of experience in AI/ML, Generative AI, and autonomous AI systems. The ideal candidate will design, develop, and deploy intelligent AI agents capable of reasoning, planning, decision-making, and executing complex workflows using modern AI frameworks and enterprise platforms.

Key Responsibilities

• Design and develop Agentic AI solutions leveraging Large Language Models (LLMs) and multi-agent architectures.
• Build autonomous AI agents capable of task planning, tool calling, memory management, and workflow orchestration.
• Develop AI-powered applications using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, or similar technologies.
• Integrate AI agents with enterprise applications, APIs, databases, and cloud services.
• Implement Retrieval-Augmented Generation (RAG) architectures using vector databases.
• Design prompt engineering strategies, agent reasoning workflows, and evaluation frameworks.
• Optimize agent performance, scalability, response quality, and operational costs.
• Build monitoring, observability, and governance mechanisms for AI solutions.
• Collaborate with business stakeholders, architects, and engineering teams to deliver AI-driven capabilities.
• Stay updated on advancements in Agentic AI, LLMs, multimodal AI, and emerging AI technologies.

Required Skills

Technical Skills

• 3 to 6 years of software development experience with at least 2 years in AI/ML or Generative AI.
• Strong proficiency in Python.
• Hands-on experience with commercial and open-source LLMs.
• Experience with Agentic AI frameworks such as:
  • LangChain
  • LangGraph
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • LlamaIndex
• Expertise in RAG implementations, embeddings, and vector databases.
• Experience with vector stores such as Pinecone, ChromaDB, Weaviate, FAISS, or Azure AI Search.
• Strong understanding of AI orchestration, workflow automation, and agent lifecycle management.
• Experience with REST APIs, microservices, and cloud platforms such as Azure, AWS, or GCP.
• Knowledge of Docker, Kubernetes, CI/CD, and MLOps practices.
• Familiarity with prompt engineering, model evaluation, fine-tuning concepts, and Responsible AI practices.

Preferred Skills

• Experience building multi-agent systems.
• Knowledge of AI governance, security, and compliance frameworks.
• Understanding of knowledge graphs and reasoning engines.
• Experience with multimodal AI solutions involving text, image, audio, and video.
• Exposure to Model Context Protocol (MCP) and agent-to-agent communication patterns.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Relevant certifications in AI, Machine Learning, Cloud AI Services, or Generative AI are preferred.

What We Offer

- Competitive salary and benefits package

- Opportunities for professional growth and development

- Collaborative and dynamic work environment

- Access to cutting-edge technologies and tools

- Recognition and rewards for outstanding performance through BeBrilliant

- Chance to work with a renowned German OEM

- You are expected to work all 5 days in a week in office