Sr Gen AI Engineer
- Leading Client
- 6 - 10 years
- Bengaluru
- 14 hours ago
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Job Description
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.
- 510 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 / Video (image transformation, video synthesis) ; Text / Video (Veo, Sora, Pika Labs, Runway ML, or similar); Text / Audio / Speech (TTS systems, diffusion-based audio models).
- 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.
- 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.
Job Classification
Industry: Recruitment / StaffingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: Leading ClientLocation(s): Bengaluru+ View Contact
Keyskills: ai engineer python vector search generative ai ai cloud platforms vector databases research cloud open source model evaluation apis gcp optimization techniques data governance aws observability programming architecture azure ml
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