Company Description
Armstrong Capital is a specialized financial planning and investment solutions firm. We focus on creating personalized strategies tailored to each client’s financial goals and risk profile. With a commitment to long-term success, we combine deep research, market insights, and years of expertise to deliver client-centric solutions that ensure financial security and growth.
Role Description
Design, develop, and deploy AI-driven applications and systems using Python, Generative AI, Agentic AI frameworks, and related technologies. Collaborate with cross-functional teams to identify business challenges and build AI-powered solutions that deliver real-world impact.
This role combines hands-on engineering with solution-oriented thinking, focusing on building scalable workflows, cloud-native deployments, and practical GenAI integrations.
Responsibilities
· Build AI-powered tools and assistants using modern LLM frameworks
· Develop data-driven dashboards and applications using Python and Streamlit
· Integrate LLMs with structured databases (SQL/PostgreSQL) for intelligent querying
· Work on RAG pipelines, embeddings, and vector databases
· Build automation pipelines for financial data processing and analytics
Skills Required
· Strong Python programming
· Understanding of LLMs and prompt engineering
· Experience with LangChain / LangGraph / AI agent frameworks
· Familiarity with SQL and relational databases
· Basic knowledge of APIs and data processing
Eligibility
- Recent Graduate (2025), Currently in Final year
- Bachelor’s degree in Computer Science / Engineering / Data Science or related field
**Kindly add your GitHub/portfolio URL to your resume
