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

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