Software Engineer/Gen AI
Listed on 2026-07-01
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Software Development
AI Engineer (Applied/Software), Full Stack Developer, Cloud Engineer - Software, Backend Developer
Software Engineer
Top
Skills:
9-12 months of Gen AI 3-5 years of recent Python REST AP development 3-5 years Relational Database experience
Nice to Have:
Gen AI product ionizing systems (we use industry standard frameworks.) Financial industry experience. Works on a generative AI solution processing supply chain documents. This group is the tech partner for Supply Chain. Created document extractions system that an expected project will grow from. Should have 9-12 months of generative AI experience and Python. 3-5 Python. API development. Team effort to design, develop, and release agents.
About 1 agent per 2 sprint cycles.
In this contingent resource assignment, you may:
Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Required Qualifications:
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
In this role, you will:
• Lead complex, large-scale technology initiatives, including enterprise-wide efforts with significant impact
• Contribute to the development and adoption of engineering standards and enterprise best practices for scalable and robust technology solutions
• Design, develop, test, debug, and document software applications and systems
• Analyze and evaluate complex technology solutions in support of both tactical and strategic business objectives, considering enterprise architecture and technical constraints
• Make informed technical decisions by applying industry best practices and emerging technologies, while guiding teams to deliver results and drive innovation
• Collaborate with senior technologists, subject matter experts, and external partners to resolve complex technical challenges and achieve desired outcomes
• Lead projects and teams, and provide mentorship to peers and junior engineers
• Apply both manual and automated evaluation techniques to ensure comprehensive and high-quality solution delivery
Required Qualifications:
• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of Python full-stack development, including RESTful API design (FastAPI, Flask, Django), web development frameworks, and front-end integration.
• 3+ years of experience of strong knowledge of Autosys, Open Shift (OCP), and GCP (or equivalent Cloud) environments.
• 3+ years of experience with CI/CD tools and Identity Access Management.
• 1+ years of experience with GenAI stack.
Desired
Qualifications:
• Familiarity with Google AI Development Kit (ADK) or equivalent Microsoft AI frameworks for enterprise-grade GenAI solutions like Autogen, Semantic Kernel
• Familiarity with enterprise AI governance and responsible AI frameworks
• Experience with Eval frameworks
• Experience using LLM-as-a-Judge for scalable assessments.
• Expertise in numerical libraries such as Num Py, Pandas, and experience building data-driven applications with robust performance and scalability.
• Familiarity with PostgreSQL, ETL processes, and S3 data handling.
• Experience with GenAI stack including Lang Chain, Lang Graph, and Lang Smith for building agentic workflows, vector databases, React-based agents, multi-agent orchestration systems and Model Context Protocol (MCP)
• 3+ years of Financial Industry experience
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities
• Ability to work independently and as part of a team
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
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