Senior Engineer-LLM

Company Description

• IQEQ is a preeminent service provider to the alternative asset industry. IQEQ works with managers in multiple capacities ranging from hedge fund, private equity fund, and mutual fund launches; private equity fund administration; advisory firm set-up, regulatory registration and infrastructure design; ongoing regulatory compliance (SEC, CFTC, and 40 Act); financial controls and operational support services; compliance and operational related projects and reviews; and outsourced CFO/controller and administration services to private equity fund investments – portfolio companies, real estate assets and energy assets. Our client base is growing, and our existing clients are engaging the firm across the spectrum of our services offerings.

Job Description

About the Role:

We are seeking a Lead - AI Engineer expert to drive AI strategy, architecture, and development. This role requires expertise in LLMs, RAG, multi-agent AI frameworks, vector databases, and AI security. You will lead a team in building scalable AI applications, with a focus on LLM-driven solutions, AI-powered automation, and Conversational AI chatbots.

Key Responsibilities:

Leadership & AI Solutioning:

• Lead & mentor a team of AI engineers and data scientists.
• Define AI system architectures integrating LLMs, multi-agent AI, and secure AI solutions.
• Collaborate with product teams and stakeholders to design AI-driven applications.
• Research and implement cutting-edge AI innovations in retrieval-augmented generation (RAG) and LLM fine-tuning.

AI & Machine Learning Development:

• Expertise in LLMs, Advanced RAG techniques, and knowledge retrieval using vector databases (FAISS, Quadrant, Chroma).
• Hands-on experience with multi-agent AI frameworks like AutoGen for intelligent automation.
• Develop and optimize AI workflows using LangChain, LlamaIndex, and LangGraph for real-time AI-driven applications.
• Implement LLM security frameworks (Guardrails, LLM Guard, AI Red Teaming) to ensure ethical AI usage.
• Develop Conversational AI chatbots for enterprise applications using LLMs and NLP frameworks.
• Experience in deep learning using TensorFlow, PyTorch, and fine-tuning open-source LLMs.

API & Backend Engineering:

• Develop and optimize RESTful APIs using FastAPI.
• Work with relational & NoSQL databases for AI-driven applications.
• Design and implement scalable microservices architectures for AI model deployment.
• Integrate and deploy LLMs for real-time AI-powered solutions with optimized response times.

Cloud & DevOps (Good to Have):

• Experience with AWS, Azure for scalable AI deployments.
• Familiarity with Docker & Kubernetes for containerized AI solutions.
• Exposure to CI/CD pipelines for automated AI model deployment.

Why Join Us?

• Lead AI innovation in LLMs, RAG, and AI security.
• Drive AI-powered transformation across industries.
• Competitive salary, leadership opportunities, and cutting-edge projects.

Qualifications

Location: Hyderabad, India (Remote/Hybrid Available)
Experience: 9+ Years (6+ Years in Data Science & AI)
Job Type: Full-time