Senior / Principal Generative AI Engineer

Full 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.

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.

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