Senior / Principal Generative AI Engineer at BRAHMA, Bengaluru
Senior / Principal Generative AI Engineer at BRAHMA in Bengaluru. Apply with swipeandhired.
We are looking for a passionate and experienced Generative AI Engineer to design, implement, and scale intelligent AI agents and applications. You will work on architecting agentic systems powered by LLMs, retrieval-augmented generation (RAG), and reasoning frameworks. The ideal candidate is someone who stays current with the fast-evolving GenAI ecosystem and can transform advanced research into production-grade solutions.
Key Responsibilities
- Architect, build, and deploy agentic AI systems using frameworks such as LangGraph, Google ADK,Autogen , Semantic Kernel, CrewAI , and LangChain .
- Design and implement RAG pipelines leveraging vector databases (OpenSearch, Pinecone, FAISS, or Weaviate).
- Develop modular and reusable AI agent architectures for dynamic reasoning and tool orchestration.
- Integrate and fine-tune foundation models (GPT, Claude, Gemini, Mistral, Llama, etc.) for domain-specific tasks.
- Work with APIs, embeddings, and context optimization for large-scale AI workflows.
- Collaborate with platform, data, and product teams to ensure robust integration and deployment.
- Implement observability, performance tracking, and continuous evaluation of model and agent behavior.
- Stay up to date with the latest research and open-source developments in LLMs, agents, and cognitive frameworks .
- Mentor and guide junior engineers on prompt design, agent architecture, and optimization techniques.
Required Skills & Experience
- 5–10 years of total experience in AI / ML engineering, including at least 2 years in Generative AI.
- Proven expertise with agentic frameworks — LangGraph, Google ADK, Semantic Kernel, CrewAI, LangChain, or similar.
- Strong programming skills in Python and familiarity with microservice or API-based systems.
- Hands-on experience with LLMs , vector search , and retrieval-augmented generation ( ) architectures.
- Good understanding of prompt engineering , model evaluation , and context optimization .
- Experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments.
- Exposure to model fine-tuning , LoRA , or custom embedding generation.
- Build multimodal content generation workflows :
Text → Image (Stable Diffusion, Runway, Sora, GPT, Midjourney APIs)
Image → Image / Video (image transformation, video synthesis)
Text → Video (Veo, Sora, Pika Labs, Runway ML, or similar)
Text → Audio / Speech (TTS systems, diffusion-based audio models)
Good to Have
- Knowledge of multimodal AI (text, image, audio, video).
- Experience building or contributing to internal agent SDKs and AI developer platforms.
- Understanding of tool-augmented reasoning , graph-based agent workflows , and memory architectures .
- Familiarity with data governance, hallucination control, and AI safety best practices.
- Experience optimizing inference latency and cost for production-scale models.
Soft Skills
- Strong problem-solving and analytical thinking abilities.
- Excellent communication and cross-functional collaboration skills.
- Self-driven, with a focus on ownership and innovation.
- Ability to translate complex technical ideas into practical, scalable implementations.
Why Join Us
- Work at the forefront of agentic and generative AI innovation .
- Collaborate with a highly skilled AI research and engineering team.
- Shape the architecture of next-generation intelligent systems.
- Opportunity to lead high-impact projects with cutting-edge LLM and reasoning frameworks.
- Competitive compensation, flexible work setup, and a culture centered on innovation and technical excellence.