About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Financial Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

This is an entry-level/full-time Software Engineer role focused on backend and GenAI-enabled application development. You'll work on building scalable Python services, integrating large language models (LLMs), and implementing retrieval and agentic AI workflows as part of cross-functional engineering teams supporting a Confidential Client in Financial Services.

• Design, develop, test, and maintain Python-based backend services and RESTful APIs (FastAPI, Flask).
• Write clean, modular, reusable, and well-tested code; implement unit tests, logging, and robust error handling.
• Build and integrate API-driven services and collaborate in Git-based workflows and code reviews.
• Work with relational databases (PostgreSQL, Oracle) — write SQL, manage schemas, and optimize queries.
• Work with NoSQL stores (Couchbase, Cassandra, MongoDB, DynamoDB) for ingestion and retrieval workflows.
• Build Generative AI solutions: integrate LLM APIs, implement embeddings, vector-search, and RAG pipelines.
• Implement document ingestion, chunking, embedding generation, and semantic search with vector databases.
• Develop basic agentic AI capabilities: tool calling, simple orchestration, state management, and automation using frameworks such as LangChain or similar.
• Evaluate LLM and agent performance; build observability, prompt strategies, and basic guardrails.
• Use Docker, CI/CD pipelines, and deployment best practices; follow secure coding and data-privacy controls.
• Participate in Agile development processes and produce technical documentation to support operations and troubleshooting.

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Qualifications (Required)

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent practical experience.
• 1–3 years of professional software development experience using Python.
• Strong fundamentals in Python, object-oriented design, data structures, and API development.
• Hands-on experience with at least one relational database and one NoSQL database.
• Practical SQL knowledge and experience with schema design and data retrieval techniques.
• Practical experience integrating LLMs into Python applications and familiarity with embeddings, vector databases, semantic search, and RAG architectures.
• Basic understanding of agentic AI concepts (tool calling, orchestration) and general knowledge of frontier/open-source LLMs.
• Experience with Git and common development tools.
• Familiarity with Docker, CI/CD, and deployment practices.
• Strong problem-solving, debugging, and communication skills.
• Employment eligibility to work with the Confidential Client in the United States; the Confidential Client will not pursue visa sponsorship for these positions.

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Preferred Qualifications

• Experience with LangChain, LangGraph, or similar agent/chain frameworks.
• Familiarity with model-serving tools such as Ollama or vLLM.
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Knowledge of LLM evaluation, observability, prompt optimization, and guardrails.
• Understanding of MCP (Model Context Protocol) and integrating AI tools.
• Exposure to enterprise security, authentication, and access control.

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Compensation

• Salary range: USD 103,750 — 174,750 per year (base salary range provided by the Confidential Client).

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Location & Work Authorization

• Location: Sunrise, FL (work location per the Confidential Client).
• Candidates must be authorized to work in the United States. The Confidential Client will not sponsor work visas for this position.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.