Job Summary

We are seeking a GenAI candidate with 7+ years of experience to build GenAI solutions using LLMs, RAG, and Langchain to address real-world business problems. Design and implement autonomous agents capable of task planning, decomposition, and tool/API invocation

Key Responsibilities

- AI Solution Development: Build GenAI solutions using LLMs, RAG, and Langchain to address real-world business problems.
- Agentic AI Systems: Design and implement autonomous agents capable of task planning, decomposition, and tool/API invocation.
- Backend & Orchestration Services: Develop robust Python-based services and orchestrators for managing model interactions, task workflows, and contextual data.
- Cloud-Based Deployment: Deploy and optimize AI models on Azure OpenAI and GCP Vertex AI, ensuring scalability, reliability, and performance.
- API Integration: Integrate OpenAI and other GenAI services into enterprise applications via REST APIs and cloud-native SDKs.
- Prompt Engineering & Fine-Tuning: Craft effective prompts and collaborate on model fine-tuning to align LLMs with domain-specific tasks.
- Performance Tuning: Optimize latency, cost, and throughput of GenAI models running on cloud platforms.
- Documentation & Knowledge Sharing: Maintain transparent documentation and mentor junior team members on GenAI concepts, tools, and best practices.

Required Qualifications
- 7+ years of experience in AI/ML, with at least 3+ years hands-on in Generative AI / LLM systems.
- Proven expertise in Lang chain, OpenAI APIs, Azure OpenAI, and GCP Vertex AI.




- Solid Python programming skills; experience building REST APIs and microservices.
- Deep knowledge of LLM chaining, RAG, agent-based systems, and task orchestration.
- Experience deploying scalable AI systems in Azure and GCP environments.
- Familiarity with tools like FAISS, Chroma, Pinecone, Weaviate, or other vector stores

Leadership Perspectives Pallab Kumar Deb, CEO

"Domain knowledge is the hardest thing to build in the age of AI. We've spent 25 years building it, workflow by workflow, in industries where getting the details wrong is expensive. That's what domain-led AI firm means here. Not a layer of AI on top of generic services, but AI built into the specific judgment calls our clients face every day. If you want to build AI that changes how real work gets done, not AI that just looks good in a demo, this is where that happens"

Sanjoy Roy Choudhary, Executive Vice President for Data Analytics

"We are trusted by some of the largest and most complex businesses in the world, and that trust is earned every day through expertise, technology, and a genuine hunger to innovate. The intersection of AI, analytics, and insights is creating possibilities that simply did not exist before, and we are right in the middle of it. We seek out hard problems, we push forward, and we are looking for ambitious people who want to help discover new avenues of growth with us."

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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