Description :

Job Title : AI Engineer Agentic Systems C Multimodal LLMs

Experience : 5+ Years

Location : Hyderabad (Should be able to work from Client Location)

Work Mode : Hybrid Employment Type : Full-time About

We are seeking a AI Engineer with strong expertise in Python, TypeScript, and Java, combined with hands-on experience working with agentic AI systems like Google Agent Space, Lang Graph / Lang Chain, Crew AI, and AWS Bedrock.

The ideal candidate is proficient with state-of-the-art LLMs including Claude, GPT-4o, Haiku, LLaMA, Nova, and has experience implementing real-time speech-to-speech AI models, including OpenAIs Realtime API and Amazon's Novasonic.

You will lead the design and deployment of intelligent, autonomous agents for real- world applicationsleveraging cutting-edge tools to build dynamic, multimodal, and scalable AI solutions.

Key Responsibilities :

- Design, develop, and deploy agentic AI systems using frameworks like Lang Graph, Lang Chain, crew AI, and Google Agent Space.

- Build and integrate applications on AWS Bedrock using foundational models from multiple providers.

- Implement and optimize workflows using LLMs (Claude, GPT-4o, LLaMA, Haiku, Nova, etc.) for reasoning, summarization, conversation, and decision-making tasks.

- Integrate real-time speech-to-speech AI models (e.g., OpenAI Realtime API, Nova sonic) for live conversational AI experiences.

- Develop backend services and APIs using Python, TypeScript, and Java for scalable AI applications.

- Collaborate cross-functionally with product, data, and research teams to define and deliver AI-first products.

- Evaluate and fine-tune foundation models for specific tasks and optimize performance across modalities (text, voice, audio).

- Stay updated on emerging trends in AGI/agentic systems, speech models, and foundation model ecosystems.

Required Skills Qualifications :

- 5+ years of experience in software development with 3+ years of strong programming expertise in Python, TypeScript, and Java.

- Deep hands-on experience with Lang Graph, Langhian, crew AI, Google Agent Space, or similar frameworks.

- Experience with AWS Bedrock and working with multimodal and multi-vendor foundation models.

- Familiarity with state-of-the-art LLMs : Claude (Anthropic), GPT-4o (OpenAI), LLaMA (Meta), Haiku (Mistral), Nova (Amazon).

- Experience integrating real-time speech-to-speech systems including OpenAIs Realtime API, Novasonic, or similar.

- Strong understanding of prompt engineering, context management, vector stores, and memory-based agent behavior.

- Familiarity with cloud infrastructure, APIs, containerization (Docker), and deployment pipelines.

- Excellent problem-solving, system design, and communication skills.

Nice to Have :

- Experience working with multi-agent systems for planning, retrieval-augmented generation (RAG), and tool use.

- Experience with streaming architectures or edge deployment for real-time applications.

- Contributions to open-source AI projects or publications in applied AI research.