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Artificial Intelligence/Machine Learning Engineer - Agentic AI

BULWARK GLOBAL SERVICES
2 - 7 Years
Multiple Locations

Posted on: 11/02/2026

Job Description

Role Overview :


We are looking for a skilled AI/ML Engineer with strong expertise in Python and Generative AI technologies to join our growing technology team. The ideal candidate will work on building intelligent AI-driven applications, LLM-powered solutions, and scalable ML systems for financial services use cases.



Key Responsibilities :


- Design and develop AI/ML models using Python.

- Build and deploy Generative AI solutions using LLMs.

- Develop AI agents and workflows using LangChain and AutoGen frameworks.

- Integrate AI/ML solutions into production-grade applications.

- Deploy and manage ML models on AWS and GCP cloud platforms.

- Work on prompt engineering, RAG pipelines, and vector databases.

- Optimize model performance, scalability, and security.

- Collaborate with product and engineering teams to implement AI-driven features.



Required Skills :


- Strong programming expertise in Python.

- Hands-on experience in AI/ML and Generative AI (GenAI).

- Practical experience with LangChain, AutoGen, or similar AI agent frameworks.

- Experience working with LLMs (OpenAI, HuggingFace, etc.).

- Knowledge of RAG architecture, embeddings, and vector databases.

- Hands-on experience in AWS and GCP (deployment, cloud ML services).

- Good understanding of ML lifecycle, model training, evaluation, and deployment.

- Familiarity with APIs, microservices, and scalable system design.



Preferred Qualifications :


- Experience in fintech or digital payments domain.

- Knowledge of MLOps tools and CI/CD pipelines.

- Experience working with Kubernetes/Docker.

- Strong problem-solving and analytical skills.



Why Join Freecharge ?


- Opportunity to work on cutting-edge AI technologies in fintech.

- Fast-paced and innovation-driven work environment.

- Exposure to large-scale production systems.

- Career growth and learning opportunities.



Selection Process :


- Virtual Technical Assessment

- Technical Interview (AI/ML + Python)

- Managerial Round

- HR Discussion


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