Sr.AI Engineer

AI/Sr AI Engineer (Agentic AI & Generative AI)

About the Role

We are looking for a passionate and driven AI Engineer to help shape the future of AI-powered solutions for the Financial Services industry. As a team member, you will work closely with the founders, contribute to product strategy, and develop cutting-edge AI solutions that solve real-world business challenges.

In this role, you will:

• Work directly with the founding team as a core contributor to the company's growth and success.
• Develop innovative AI and Generative AI solutions for Financial Services clients.
• Design, build, and refine datasets to evaluate, benchmark, and continuously improve AI systems.
• Contribute to product strategy, solution architecture, and roadmap planning.
• Experiment with emerging AI technologies and help transform research into production-ready solutions.

Key Responsibilities

Agentic AI & Generative AI Development

• Design, develop, and deploy scalable AI agents powered by Large Language Models (LLMs).
• Build multi-agent and multimodal AI systems using frameworks such as LangGraph, AutoGen, CrewAI, and related orchestration platforms.
• Develop AI workflows capable of reasoning, planning, tool utilization, and autonomous task execution.

AI Research & Innovation

• Research and implement advanced AI techniques, including:

o Retrieval-Augmented Generation (RAG)

o Semantic Search

o Knowledge Graphs and Knowledge Representation

o Fine-Tuning and Model Adaptation

o Prompt Engineering

o LLM Evaluation and Reasoning Frameworks

• Stay current with evolving AI technologies and identify opportunities to apply them to client use cases.AI Engineering & Solution Development
• Build production-grade AI applications and APIs using modern development frameworks.
• Architect robust backend services and scalable AI infrastructure.
• Develop and optimize model inference pipelines for performance, reliability, and cost efficiency.Data & Evaluation
• Create high-quality datasets for model training, testing, benchmarking, and evaluation.
• Establish evaluation frameworks to monitor model performance, accuracy, robustness, and safety.MLOps & Model Lifecycle Management
• Automate model deployment, monitoring, versioning, and retraining processes.
• Implement CI/CD pipelines for machine learning and AI applications.
• Ensure proper governance, reproducibility, and traceability of models and datasets.Collaboration & Customer Focus
• Collaborate closely with product teams, data scientists, engineers, and business stakeholders.
• Understand business challenges deeply and translate them into AI-driven solutions.
• Drive customer-centric innovation with a focus on measurable business outcomes.Optimization & Engineering Excellence
• Review, refactor, and optimize machine learning and AI application code.
• Implement best practices for software engineering, testing, security, and scalability.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 4-8 years of experience in AI Engineering, Machine Learning Engineering, MLOps, or related technical roles.
• Strong programming expertise in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Solid understanding of machine learning, deep learning, and modern AI concepts.
• Hands-on experience with:
• Large Language Models (LLMs)
• Generative AI applications
• Retrieval-Augmented Generation (RAG)
• Natural Language Processing (NLP)
• AI agent frameworks
• Experience building datasets for training, evaluation, or benchmarking machine learning models.
• Proficiency with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform.
• Strong problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, startup or high-growth environment.

Preferred Technical Skills

Experience with the following technologies is highly desirable:

• Programming & AI Frameworks: Python, FastAPI, OpenAI APIs, LangChain, LlamaIndex, Hugging Face, PyTorch
• Agentic AI Frameworks: LangGraph, AutoGen, CrewAI
• Databases: PostgreSQL, SQLAlchemy, Alembic, Vector Databases
• Cloud & DevOps: Azure, AWS, Docker, Kubernetes, Terraform
• Frontend Technologies: TypeScript, React
• MLOps Tools: MLflow, Weights & Biases, experiment tracking and model versioning platforms
• Data Orchestration: Apache Airflow, Prefect

Desired Attributes

• Passion for AI, emerging technologies, and continuous learning.
• Strong ownership mindset with the ability to work independently.
• Customer-focused approach to problem solving and innovation.
• Understanding of responsible AI, model governance, and ethical AI considerations.
• Familiarity with software testing, automation, and engineering best practices.
• Excellent collaboration and stakeholder management skills.

Why Join Us?

• Opportunity to work directly with the founding team and influence company strategy.
• Build cutting-edge Agentic AI and Generative AI products from the ground up.
• Solve meaningful challenges in the Financial Services domain.
• Work in a highly collaborative, innovation-driven environment.
• Fast career growth with significant ownership and impact.If you're excited about building next-generation AI systems and shaping the future of Financial Services through Agentic AI, we'd love to hear from you.