Applied Agentic AI Engineer - Python/LLM

Description :

Job Title : Applied Agentic AI Engineer

Experience : 3 to 8 Years

Location : Remote

Employment Type : Full Time, Permanent

Industry : IT Services & Consulting

Department : BFSI, Investments & Trading

Role Category : BFSI, Investments & Trading - Other

Role Overview :

We are seeking a highly skilled Applied Agentic AI Engineer to design and build intelligent, autonomous AI systems for fintech use cases. The ideal candidate will have strong expertise in AI/ML, hands-on experience with LLMs and agentic frameworks, and a proven ability to deliver scalable, production-grade solutions.

This role involves working at the intersection of AI innovation and financial services, developing next-generation systems for automation, decision-making, and advanced analytics.

Key Responsibilities :

- Design, develop, and deploy agentic AI systems for fintech applications such as trading, risk management, and investment analytics

- Build and optimize solutions using LLMs, SLMs, and agent-based frameworks

- Develop end-to-end AI pipelines, including data ingestion, model training, evaluation, and deployment

- Implement scalable and robust architectures for real-time and batch AI workflows

- Integrate AI models into production systems with a focus on reliability, latency, and performance

- Collaborate with cross-functional teams including product, engineering, and domain experts

- Apply best practices in MLOps, monitoring, and continuous improvement of AI systems

- Ensure compliance with data security and regulatory standards in BFSI environments

Required Skills & Qualifications :

- 3-8 years of experience in AI/ML, with a strong focus on applied AI solutions

- Proficiency in Python and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)

- Hands-on experience with LLMs and agentic frameworks (e.g., LangChain, AutoGen, CrewAI, etc.)

- Strong understanding of machine learning, deep learning, and NLP concepts

- Experience building and deploying production-grade AI systems

- Familiarity with cloud platforms (AWS, Azure, or GCP)

- Strong problem-solving skills and ability to work in a fast-paced environment

- Experience in fintech, trading, or BFSI domain is a strong plus

Preferred Qualifications :

- Experience with RAG (Retrieval-Augmented Generation) and vector databases

- Knowledge of multi-agent systems and autonomous decision-making architectures

- Exposure to data engineering and large-scale distributed systems

- Prior experience working with financial datasets or investment platforms

Education :

- UG : B.Tech / B.E. in any specialization

- PG : M.Tech in any specialization (preferred)

- Candidates from top-tier institutes are strongly preferred